Tootfinder

Orange County congresswoman targeted by protests over Trump megabill, cuts to healthcare
Protesters railed on Tuesday against Orange County GOP Rep Young Kim
who could be a critical vote on Trump’s proposal to cut more than $1 trillion in federal dollars
that helped pay for healthcare for those in need and extend tax cuts for millions of Americans.
Trump’s proposed Megabill narrowly passed the U.S. Senate hours before hundreds of people gathered in a cul-de-sac outsi…

O.C. congresswoman targeted by protests over Trump megabill
Protestors railed on Tuesday against an Orange County congresswoman who could be a critical vote on President Trump’s proposal to cut more than $1 trillion in federal dollars that helped pay for healthcare for those in need.

The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development
Jiancheng Ye, Michelle Ma, Malak Abuhashish
https://arxiv.org/abs/2509.00068

The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial Intelligence Research and Development
Objectives: The integration of Artificial Intelligence (AI) in healthcare promises to revolutionize patient care, diagnostics, and treatment protocols. Collaborative efforts among healthcare systems, research institutions, and industry are pivotal to leveraging AI's full potential. This study aims to characterize collaborative networks and stakeholders in AI healthcare initiatives, identify challenges and opportunities within these collaborations, and elucidate priorities for future AI research…

To the surprise of no one, yet another study shows RFK Jr is full of shit. Vaccines are safe.
https://thehill.com/policy/healthcare/5403751-aluminum-vaccines-autism-study/

Rand Paul: Gay CDC director’s ‘lifestyle’ disqualified him from government
https://thehill.com/policy/healthcare/5482672-rand-paul-daskalakis-lifestyle-criticism/

Kennedy targets vaccination injury program (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5433039-kennedy-targets-vaccine-injury-program/
http://www.memeorandum.com/250803/p50#a250803p50

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
Dilruk Perera, Gousia Habib, Qianyi Xu, Daniel J. Tan, Kai He, Erik Cambria, Mengling Feng
https://arxiv.org/abs/2508.21101

Beyond Prediction: Reinforcement Learning as the Defining Leap in Healthcare AI
Reinforcement learning (RL) marks a fundamental shift in how artificial intelligence is applied in healthcare. Instead of merely predicting outcomes, RL actively decides interventions with long term goals. Unlike traditional models that operate on fixed associations, RL systems learn through trial, feedback, and long-term reward optimization, introducing transformative possibilities and new risks. From an information fusion lens, healthcare RL typically integrates multi-source signals such as v…

HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
Eduardo Illueca-Fernandez, Kaile Chen, Fernando Seoane, Farhad Abtahi
https://arxiv.org/abs/2508.21540

HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
Process mining has emerged as a powerful analytical technique for understanding complex healthcare workflows. However, its application faces significant barriers, including technical complexity, a lack of standardized approaches, and limited access to practical training resources. We introduce HealthProcessAI, a GenAI framework designed to simplify process mining applications in healthcare and epidemiology by providing a comprehensive wrapper around existing Python (PM4PY) and R (bupaR) librari…

Almost 200 countries guarantee children’s rights.
Why doesn’t the US?
The US never signed on to the UN Convention on the Rights of the Child, which experts say paves the way for cuts to federal funding for children’s health coverage
https://www.

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Mariia Ershova, Graziano Blasilli
https://arxiv.org/abs/2506.24104

Bridging Service Design, Visualizations, and Visual Analytics in Healthcare Digital Twins: Challenges, Gaps, and Research Opportunities
Digital twins (DT) are increasingly used in healthcare to model patients, processes, and physiological systems. While recent solutions leverage visualization, visual analytics, and user interaction, these systems rarely incorporate structured service design methodologies. Bridging service design with visual analytics and visualization can be valuable for the healthcare DT community. This paper aims to introduce the service design discipline to visualization researchers by framing this integrati…

For decades I have argued that the single biggest barrier to entrepreneurship in the US is our healthcare system. Having been an employee, employer, and independent, and also partaken in start-up culture (ick), I’ve seen it from each side (and I had insurers as clients).
https://omfg.town/@dansinker/114774590

1 in 4 Americans trust RFK Jr. with medical advice (Elizabeth Crisp/The Hill)
https://thehill.com/policy/healthcare/5484579-kennedy-poll-medical-advice/
http://www.memeorandum.com/250903/p157#a250903p157

On the day the UK parliament voted to proscribe the citizen peaceful direct action group Palestine Action as supposedly terrorist, Channel 4 showed the searing Basement Films documentary "Gaza doctors under attack". It showed the actions of the Israeli terrorist State in destroying Gaza's healthcare system, murdering civilians of all kinds and targeting health workers some of whom have died following torture. Sprinkled throughout were the repetitive lies of the occupation.

What, exactly, are we celebrating tomorrow?
Our cutting off healthcare to the needy to enrich the greedy?
Our new concentration camps?
Our dying economy?
Our ditching due process?
Our corruption?
Our broken legislature?
Our corrupt SCOTUS?
Our ridiculous buffoon president?
#FourthOfJuly
-- Mrs Betty Bowers

DeepSeek performs better than other Large Language Models in Dental Cases
Hexian Zhang, Xinyu Yan, Yanqi Yang, Lijian Jin, Ping Yang, Junwen Wang
https://arxiv.org/abs/2509.02036

DeepSeek performs better than other Large Language Models in Dental Cases
Large language models (LLMs) hold transformative potential in healthcare, yet their capacity to interpret longitudinal patient narratives remains inadequately explored. Dentistry, with its rich repository of structured clinical data, presents a unique opportunity to rigorously assess LLMs' reasoning abilities. While several commercial LLMs already exist, DeepSeek, a model that gained significant attention earlier this year, has also joined the competition. This study evaluated four state-of-the…

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video
Guiqiu Liao, Matjaz Jogan, Marcel Hussing, Edward Zhang, Eric Eaton, Daniel A. Hashimoto
https://arxiv.org/abs/2507.01882

Future Slot Prediction for Unsupervised Object Discovery in Surgical Video
Object-centric slot attention is an emerging paradigm for unsupervised learning of structured, interpretable object-centric representations (slots). This enables effective reasoning about objects and events at a low computational cost and is thus applicable to critical healthcare applications, such as real-time interpretation of surgical video. The heterogeneous scenes in real-world applications like surgery are, however, difficult to parse into a meaningful set of slots. Current approaches wit…

Neuralink plans a UK clinical trial to test how its chips let patients with severe paralysis control devices with thoughts, marking its entry into the country (Christy Santhosh/Reuters)
https://www.reuters.com/business/healthcar

In 2011 a North Carolina man robbed a bank for $1 because he couldn't afford to get a lump on his chest checked out, and hoped free healthcare in jail would sort it out for him.
He had hoped for a three year stretch but owing to the low amount he was released early.
It's unknown whether he actually got the medical treatment so it's possible that he should have stolen more in order to achieve his goal.

FDA upgrades blueberry recall to highest risk level (Filip Timotija/The Hill)
https://thehill.com/policy/healthcare/5384059-fda-blueberry-listeria-recall/
http://www.memeorandum.com/250703/p114#a250703p114

A Survey: Towards Privacy and Security in Mobile Large Language Models
Honghui Xu, Kaiyang Li, Wei Chen, Danyang Zheng, Zhiyuan Li, Zhipeng Cai
https://arxiv.org/abs/2509.02411 …

A Survey: Towards Privacy and Security in Mobile Large Language Models
Mobile Large Language Models (LLMs) are revolutionizing diverse fields such as healthcare, finance, and education with their ability to perform advanced natural language processing tasks on-the-go. However, the deployment of these models in mobile and edge environments introduces significant challenges related to privacy and security due to their resource-intensive nature and the sensitivity of the data they process. This survey provides a comprehensive overview of privacy and security issues a…

MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare Prediction
Xiaoyang Wang, Christopher C. Yang
https://arxiv.org/abs/2508.21793 https://

MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare Prediction
Healthcare systems generate diverse multimodal data, including Electronic Health Records (EHR), clinical notes, and medical images. Effectively leveraging this data for clinical prediction is challenging, particularly as real-world samples often present with varied or incomplete modalities. Existing approaches typically require complete modality data or rely on manual selection strategies, limiting their applicability in real-world clinical settings where data availability varies across patient…

Sensemaking Through Making: Developing Clinical Domain Knowledge by Crafting Synthetic Datasets and Prototyping System Architectures
Mihnea Stefan Calota, Wessel Nieuwenhuys, Janet Yi-Ching Huang, Lin-Lin Chen, Mathias Funk
https://arxiv.org/abs/2507.00821

Sensemaking Through Making: Developing Clinical Domain Knowledge by Crafting Synthetic Datasets and Prototyping System Architectures
Designers have ample opportunities to impact the healthcare domain. However, hospitals are often closed ecosystems that pose challenges in engaging clinical stakeholders, developing domain knowledge, and accessing relevant systems and data. In this paper, we introduce a making-oriented approach to help designers understand the intricacies of their target healthcare context. Using Remote Patient Monitoring (RPM) as a case study, we explore how manually crafting synthetic datasets based on real-w…

Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures
Tianliang Yao, Zhiqiang Pei, Yong Li, Yixuan Yuan, Peng Qi
https://arxiv.org/abs/2507.00051

Real-Time Guidewire Tip Tracking Using a Siamese Network for Image-Guided Endovascular Procedures
An ever-growing incorporation of AI solutions into clinical practices enhances the efficiency and effectiveness of healthcare services. This paper focuses on guidewire tip tracking tasks during image-guided therapy for cardiovascular diseases, aiding physicians in improving diagnostic and therapeutic quality. A novel tracking framework based on a Siamese network with dual attention mechanisms combines self- and cross-attention strategies for robust guidewire tip tracking. This design handles vi…

An intrusion detection system in internet of things using grasshopper optimization algorithm and machine learning algorithms
Shiva Sattarpour, Ali Barati, Hamid Barati
https://arxiv.org/abs/2509.01724 …

An intrusion detection system in internet of things using grasshopper optimization algorithm and machine learning algorithms
The Internet of Things (IoT) has emerged as a foundational paradigm supporting a range of applications, including healthcare, education, agriculture, smart homes, and, more recently, enterprise systems. However, significant advancements in IoT networks have been impeded by security vulnerabilities and threats that, if left unaddressed, could hinder the deployment and operation of IoT based systems. Detecting unwanted activities within the IoT is crucial, as it directly impacts confidentiality, …

Shein Used Luigi Mangione’s AI-Generated Face to Sell a Shirt https://www.404media.co/shein-luigi-mangione-ai-generated-listing-shirt/

#ContemporaryContradictions #HashTagGames
Rules: include as many contradictions s you'd like. Can be profound or trivial. Each contradiction is stated via exactly 1 or 2 questions, no statements and not more than 2 questions. Try to group yours into a single post, rather than one post per contradiction, so that it's easier to see more voices when scrolling the hash tag.
Why does "race" work according to the "one drop rule" if you have Black ancestors, but according to "blood quantum" if you have Indigenous ancestors? Who benefits from this arrangement?
Why do we think of seeds as merely a reproduction mechanism for trees, instead of thinking of trees as merely a reproduction mechanism for seeds, especially since some plants can spend millennia as seeds but can survive for only part of a year after sprouting? Are metabolic activity or structural complexity really so important?
If Columbus discovered America, did Batu Khan discover Europe? What is an "Age of Discovery?"
Why don't corporations in the US try to lobby the government for a single-payer healthcare system where the government foots the bill for healthcare instead of companies paying to deeply subsidize their employees' healthcare? What benefit do they gain that's worth that cost, which in other countries is paid for via taxes?
Why is the cost of renting (which gets you zero equity) anywhere close to the cost of a mortgage (which eventually gets you ownership)? If the costs are similar but the benefits are so different, why does anyone ever rent?
Why do we obsess over the fruit/vegetable classification of tomatoes, but not corn, okra, cucumbers, zucchini, etc.?

Barriers to Healthcare: Agent-Based Modeling to Mitigate Inequity
Alba Aguilera, Georgina Curto, Nardine Osman
https://arxiv.org/abs/2507.23644 https://arx…

Barriers to Healthcare: Agent-Based Modeling to Mitigate Inequity
Agent-based simulations have an enormous potential as tools to evaluate social policies in a non-invasive way, before these are implemented to real-world populations. However, the recommendations that these computational approaches may offer to tackle urgent human development challenges can vary substantially depending on how we model agents' (people) behaviour and the criteria that we use to measure inequity. In this paper, we integrate the conceptual framework of the capability approach (CA),…

🫦 New, non-opioid molecule acts like a long-lasting anesthetic, relieving chronic pain for three weeks
#pain #drugs #medicine

New, non-opioid molecule acts like a long-lasting anesthetic, relieving chronic pain for three weeks
A new molecule developed by University at Buffalo researchers acts like a local, long-lasting anesthetic, providing robust pain relief for up to three weeks, according to the results of preclinical studies reported recently in the journal Pain.

The biggest lie Trump had ever told about Healthcare affects the poorest people in America:
☑️ Fact check: Trump makes big false claims about his big domestic policy bill
https://www.cnn.com/2025/06/28/politics/fact-check-trump-big-beautiful-bill…

An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
Ali Hamdi, Malak Mohamed, Rokaia Emad, Khaled Shaban
https://arxiv.org/abs/2509.02446

An Ensemble Classification Approach in A Multi-Layered Large Language Model Framework for Disease Prediction
Social telehealth has made remarkable progress in healthcare by allowing patients to post symptoms and participate in medical consultations remotely. Users frequently post symptoms on social media and online health platforms, creating a huge repository of medical data that can be leveraged for disease classification. Large language models (LLMs) such as LLAMA3 and GPT-3.5, along with transformer-based models like BERT, have demonstrated strong capabilities in processing complex medical text. In…

Crosslisted article(s) found for cs.AI. https://arxiv.org/list/cs.AI/new
[2/15]:
- The Collaborations among Healthcare Systems, Research Institutions, and Industry on Artificial In...
Jiancheng Ye, Michelle Ma, Malak Abuhashish

If people are wildly optimistic and non-critical about deploying something that is destructive, that should never be framed as a positive.

And continuing on this, if I am being critical of optimism in this scenario, that’s not ”slowing progress” or ”being backwards”. That’s being cognizant of bad outcomes and resisting them.

This all reminds me of when people are understandably confused by ”negative” results in healthcare, when they can be the most welcome of news.

Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge
Maha Shatta, Konstantinos Balaskas, Paula Carolina Lozano Duarte, Georgios Panagopoulos, Mehdi B. Tahoori, Georgios Zervakis
https://arxiv.org/abs/2508.19637

Invited Paper: Feature-to-Classifier Co-Design for Mixed-Signal Smart Flexible Wearables for Healthcare at the Extreme Edge
Flexible Electronics (FE) offer a promising alternative to rigid silicon-based hardware for wearable healthcare devices, enabling lightweight, conformable, and low-cost systems. However, their limited integration density and large feature sizes impose strict area and power constraints, making ML-based healthcare systems-integrating analog frontend, feature extraction and classifier-particularly challenging. Existing FE solutions often neglect potential system-wide solutions and focus on the cla…

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
Kyle Naddeo, Nikolas Koutsoubis, Rahul Krish, Ghulam Rasool, Nidhal Bouaynaya, Tony OSullivan, Raj Krish
https://arxiv.org/abs/2507.23736

DICOM De-Identification via Hybrid AI and Rule-Based Framework for Scalable, Uncertainty-Aware Redaction
Access to medical imaging and associated text data has the potential to drive major advances in healthcare research and patient outcomes. However, the presence of Protected Health Information (PHI) and Personally Identifiable Information (PII) in Digital Imaging and Communications in Medicine (DICOM) files presents a significant barrier to the ethical and secure sharing of imaging datasets. This paper presents a hybrid de-identification framework developed by Impact Business Information Solutio…

Minimizing Acoustic Noise: Enhancing Quiet Locomotion for Quadruped Robots in Indoor Applications
Zhanxiang Cao, Buqing Nie, Yang Zhang, Yue Gao
https://arxiv.org/abs/2506.23114

Minimizing Acoustic Noise: Enhancing Quiet Locomotion for Quadruped Robots in Indoor Applications
Recent advancements in quadruped robot research have significantly improved their ability to traverse complex and unstructured outdoor environments. However, the issue of noise generated during locomotion is generally overlooked, which is critically important in noise-sensitive indoor environments, such as service and healthcare settings, where maintaining low noise levels is essential. This study aims to optimize the acoustic noise generated by quadruped robots during locomotion through the de…

New #RFKJr #healthcare plan just dropped

Former directors of the Centers of Disease Control and Prevention (CDC) on Monday
rebuked Health and Human Services Secretary Robert F. Kennedy Jr.
for his decision to fire its director, Susan Monarez.
https://thehill.com/policy/healthcare/

I used to tell my kids my own version of Cinderella, where the Prince was romatically ensnared by Cinderella's radical social justice focused politics.
After their wedding her commitment to constituonal reform leads to the introduction of genuine democratic participation in politics in the kingdom with fulll workers rights, universal healthcare and free education for all children.

For some reason., they always preferred the traditional story?

https://writing.exchange/@golgaloth/114934064392785110

White House backs away from IVF coverage mandate despite Trump's campaign pledge, Washington Post reports (Rajveer Singh Pardesi/Reuters)
https://www.reuters.com/business/healthcare-pharmaceuticals/white-house-backs-away-ivf-coverage-mandate-despite-trumps-campaign-pledge-2025-08-03/
http://www.memeorandum.com/250803/p66#a250803p66

Swiss nonprofit health organization breached by Sarcoma ransomware group https://therecord.media/sarcoma-ransomware-breach-swiss-healthcare-nonprofit-radix

DRAssist: Dispute Resolution Assistance using Large Language Models
Sachin Pawar, Manoj Apte, Girish K. Palshikar, Basit Ali, Nitin Ramrakhiyani
https://arxiv.org/abs/2509.01962

DRAssist: Dispute Resolution Assistance using Large Language Models
Disputes between two parties occur in almost all domains such as taxation, insurance, banking, healthcare, etc. The disputes are generally resolved in a specific forum (e.g., consumer court) where facts are presented, points of disagreement are discussed, arguments as well as specific demands of the parties are heard, and finally a human judge resolves the dispute by often favouring one of the two parties. In this paper, we explore the use of large language models (LLMs) as assistants for the h…

Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
Davin Choo, Yohai Trabelsi, Fentabil Getnet, Samson Warkaye Lamma, Wondesen Nigatu, Kasahun Sime, Lisa Matay, Milind Tambe, St\'ephane Verguet
https://arxiv.org/abs/2509.00135…

Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
As part of nationwide efforts aligned with the United Nations' Sustainable Development Goal 3 on Universal Health Coverage, Ethiopia's Ministry of Health is strengthening health posts to expand access to essential healthcare services. However, only a fraction of this health system strengthening effort can be implemented each year due to limited budgets and other competing priorities, thus the need for an optimization framework to guide prioritization across the regions of Ethiopia. In this pape…

Immersive Technologies in Training and Healthcare: From Space Missions to Psychophysiological Research
Barbara Karpowicz, Maciej Grzeszczuk, Adam Kuzdrali\'nski, Monika Kornacka, Aliaksandr Marozau, Wiktor Stawski, Pavlo Zinevych, Grzegorz Marcin W\'ojcik, Tomasz Kowalewski, Grzegorz Pochwatko, Wies{\l}aw Kope\'c
https://

Immersive Technologies in Training and Healthcare: From Space Missions to Psychophysiological Research
Virtual, Augmented, and eXtended Reality (VR/AR/XR) technologies are increasingly recognized for their applications in training, diagnostics, and psychological research, particularly in high-risk and highly regulated environments. In this panel we discuss how immersive systems enhance human performance across multiple domains, including clinical psychology, space exploration, and medical education. In psychological research and training, XR can offer a controlled yet ecologically valid setting …

Storskogen has acquired LEP AG (“LEP”), a Swiss-headquartered company offering digital healthcare documentation solutions… #pflege #nursing

Storskogen acquires leading digital healthcare documentation provider - Storskogen
Storskogen has acquired LEP AG (“LEP”), a Swiss-headquartered company offering digital healthcare documentation solutions. The company generated sales of CHF 6.1 million in 2024, approximately SEK 72 million, with about 80 percent of its revenues stemming from recurring subscriptions.

New York City-based cybersecurity company Axonius acquires Cynerio, which offers healthcare IoT cybersecurity and asset management services, for $180M (Golan Hazani/CTech)
https://www.calcalistech.com/ctechnews/article/hkek009mdle

Cyber unicorn Axonius acquires Cynerio in $180M deal to expand into healthcare security
Move expands company’s offerings amid growing threats to connected medical devices.

Trump demands drugmakers 'justify' COVID treatment success (Tara Suter/The Hill)
https://thehill.com/policy/healthcare/5480506-trump-drugmakers-covid-vaccines-treatment/
http://www.memeorandum.com/250901/p71#a250901p71

ShortageSim: Simulating Drug Shortages under Information Asymmetry
Mingxuan Cui, Yilan Jiang, Duo Zhou, Cheng Qian, Yuji Zhang, Qiong Wang
https://arxiv.org/abs/2509.01813 https…

ShortageSim: Simulating Drug Shortages under Information Asymmetry
Drug shortages pose critical risks to patient care and healthcare systems worldwide, yet the effectiveness of regulatory interventions remains poorly understood due to fundamental information asymmetries in pharmaceutical supply chains. We present \textbf{ShortageSim}, the first Large Language Model (LLM)-based multi-agent simulation framework that captures the complex, strategic interactions between drug manufacturers, institutional buyers, and regulatory agencies in response to shortage alert…

Differentiating hype from practical applications of large language models in medicine - a primer for healthcare professionals
Elisha D. O. Roberson
https://arxiv.org/abs/2507.19567

Differentiating hype from practical applications of large language models in medicine - a primer for healthcare professionals
The medical ecosystem consists of the training of new clinicians and researchers, the practice of clinical medicine, and areas of adjacent research. There are many aspects of these domains that could benefit from the application of task automation and programmatic assistance. Machine learning and artificial intelligence techniques, including large language models (LLMs), have been promised to deliver on healthcare innovation, improving care speed and accuracy, and reducing the burden on staff f…

Former CDC directors sound alarm over Kennedy's agency shake-up (Sarah Fortinsky/The Hill)
https://thehill.com/policy/healthcare/5480206-former-cdc-leaders-oppose-kennedy-changes/
http://www.memeorandum.com/250901/p42#a250901p42

A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models
Xingyu Xiao, Hongxu Zhu, Jingang Liang, Jiejuan Tong, Haitao Wang
https://arxiv.org/abs/2507.01017

A Comprehensive Review of Human Error in Risk-Informed Decision Making: Integrating Human Reliability Assessment, Artificial Intelligence, and Human Performance Models
Human error remains a dominant risk driver in safety-critical sectors such as nuclear power, aviation, and healthcare, where seemingly minor mistakes can cascade into catastrophic outcomes. Although decades of research have produced a rich repertoire of mitigation techniques, persistent limitations: scarce high-quality data, algorithmic opacity, and residual reliance on expert judgment, continue to constrain progress. This review synthesizes recent advances at the intersection of risk-informed …

FDA approves updated Pfizer, Moderna COVID-19 vaccines for high-risk groups
https://thehill.com/policy/healthcare/5473728-fda-approval-updated-covid-19-vaccines/

Fired vaccine board members warn of fallout from RFK Jr. policies (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5432258-fired-vaccine-board-members-warn-of-fallout-from-rfk-jr-policies/
http://www.memeorandum.com/250801/p81#a250801p81

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
Roy M. Gabriel, Mohammadreza Zandehshahvar, Marly van Assen, Nattakorn Kittisut, Kyle Peters, Carlo N. De Cecco, Ali Adibi
https://arxiv.org/abs/2508.21263

Deep Active Learning for Lung Disease Severity Classification from Chest X-rays: Learning with Less Data in the Presence of Class Imbalance
To reduce the amount of required labeled data for lung disease severity classification from chest X-rays (CXRs) under class imbalance, this study applied deep active learning with a Bayesian Neural Network (BNN) approximation and weighted loss function. This retrospective study collected 2,319 CXRs from 963 patients (mean age, 59.2 $\pm$ 16.6 years; 481 female) at Emory Healthcare affiliated hospitals between January and November 2020. All patients had clinically confirmed COVID-19. Each CXR wa…

Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2
Jing Wang, Amar Sra, Jeremy C. Weiss
https://arxiv.org/abs/2506.22444

Active Learning for Forecasting Severity among Patients with Post Acute Sequelae of SARS-CoV-2
The long-term effects of Postacute Sequelae of SARS-CoV-2, known as PASC, pose a significant challenge to healthcare systems worldwide. Accurate identification of progression events, such as hospitalization and reinfection, is essential for effective patient management and resource allocation. However, traditional models trained on structured data struggle to capture the nuanced progression of PASC. In this study, we introduce the first publicly available cohort of 18 PASC patients, with text t…

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
Vipul Patel, Anirudh Deodhar, Dagnachew Birru
https://arxiv.org/abs/2508.20953 https://

A Multi-Objective Genetic Algorithm for Healthcare Workforce Scheduling
Workforce scheduling in the healthcare sector is a significant operational challenge, characterized by fluctuating patient loads, diverse clinical skills, and the critical need to control labor costs while upholding high standards of patient care. This problem is inherently multi-objective, demanding a delicate balance between competing goals: minimizing payroll, ensuring adequate staffing for patient needs, and accommodating staff preferences to mitigate burnout. We propose a Multi-objective G…

Unpacking Personal(?!) Health Informatics: An Investigation of Awareness, Understanding, And Leveraged Utility in India
Shyama Sastha Krishnamoorthy Srinivasan, Mohan Kumar, Pushpendra Singh
https://arxiv.org/abs/2509.01231

Unpacking Personal(?!) Health Informatics: An Investigation of Awareness, Understanding, And Leveraged Utility in India
Personal Health Informatics (PHI), which leverages digital tools and information systems to support health assessment and self-care, holds promise for empowering individuals and transforming healthcare delivery. However, barriers to its adoption remain underexplored in the Indian context. This study investigates PHI adoption among Indian users and stakeholders using a multi-method approach. An awareness survey (n = 87) examined the usage of wearables and general PHI engagement, followed by semi…

Nabla, which offers an AI copilot for doctors and other medical staff, raised a $70M Series C led by HV Capital and says it now supports 85K clinicians (Judy Rider/Crunchbase News)
https://news.crunchbase.com/ai/nabla-ai-copilot-agents-healthcare-fundin…

Nabla Lands $70M To Build AI Agents In Healthcare Settings
Paris-based Nabla, which has developed an AI copilot for doctors and other medical staff, announced Tuesday that it has raised $70 million in a Series C funding led by Germany’s HV Capital.

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
Twisha Chattopadhyay, Fabricio Ceschin, Marco E. Garza, Dymytriy Zyunkin, Animesh Chhotaray, Aaron P. Stebner, Saman Zonouz, Raheem Beyah
https://arxiv.org/abs/2506.21897

One Video to Steal Them All: 3D-Printing IP Theft through Optical Side-Channels
The 3D printing industry is rapidly growing and increasingly adopted across various sectors including manufacturing, healthcare, and defense. However, the operational setup often involves hazardous environments, necessitating remote monitoring through cameras and other sensors, which opens the door to cyber-based attacks. In this paper, we show that an adversary with access to video recordings of the 3D printing process can reverse engineer the underlying 3D print instructions. Our model tracks…

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database
Diego Russo, Gian Marco Orlando, Valerio La Gatta, Vincenzo Moscato
https://arxiv.org/abs/2507.23669

Automating AI Failure Tracking: Semantic Association of Reports in AI Incident Database
Artificial Intelligence (AI) systems are transforming critical sectors such as healthcare, finance, and transportation, enhancing operational efficiency and decision-making processes. However, their deployment in high-stakes domains has exposed vulnerabilities that can result in significant societal harm. To systematically study and mitigate these risk, initiatives like the AI Incident Database (AIID) have emerged, cataloging over 3,000 real-world AI failure reports. Currently, associating a ne…

Robert F. Kennedy Jr. to reveal #autism causes in September update
https://thehill.com/policy/healthcare/5471327-autism-epidemic-kennedy-trump/

Achieving Hilbert-Schmidt Independence Under R\'enyi Differential Privacy for Fair and Private Data Generation
Tobias Hyrup, Emmanouil Panagiotou, Arjun Roy, Arthur Zimek, Eirini Ntoutsi, Peter Schneider-Kamp
https://arxiv.org/abs/2508.21815

Achieving Hilbert-Schmidt Independence Under Rényi Differential Privacy for Fair and Private Data Generation
As privacy regulations such as the GDPR and HIPAA and responsibility frameworks for artificial intelligence such as the AI Act gain traction, the ethical and responsible use of real-world data faces increasing constraints. Synthetic data generation has emerged as a promising solution to risk-aware data sharing and model development, particularly for tabular datasets that are foundational to sensitive domains such as healthcare. To address both privacy and fairness concerns in this setting, we p…

Cyberattack shuts down hundreds of Russian pharmacies, disrupts healthcare services https://therecord.media/cyberattack-shuts-down-russian-pharmacies

Senate bill allowed to 'defund' Planned Parenthood (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5377656-senate-gop-provision-planned-parenthood/
http://www.memeorandum.com/250630/p147#a250630p147

Ambience Healthcare, which uses AI to automate administrative tasks for medical professionals, raised $243M led by a16z and Oak HC/FT at a $1B valuation (Brunella Tipismana Urbano/Bloomberg)
https://www.bloomberg.com/news/articles/20

DOJ announces takedown of record $14.6B in health care fraud (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5377228-doj-health-care-fraud-takedown-dan-bongino/
http://www.memeorandum.com/250630/p115#a250630p115

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Promise Osaine Ekpo, Brian La, Thomas Wiener, Saesha Agarwal, Arshia Agrawal, Gonzalo Gonzalez-Pumariega, Lekan P. Molu, Angelique Taylor
https://arxiv.org/abs/2508.18708

Skill-Aligned Fairness in Multi-Agent Learning for Collaboration in Healthcare
Fairness in multi-agent reinforcement learning (MARL) is often framed as a workload balance problem, overlooking agent expertise and the structured coordination required in real-world domains. In healthcare, equitable task allocation requires workload balance or expertise alignment to prevent burnout and overuse of highly skilled agents. Workload balance refers to distributing an approximately equal number of subtasks or equalised effort across healthcare workers, regardless of their expertise.…

New student loan limits pose threat to nursing
https://thehill.com/opinion/healthcare/5408600-student-loan-caps-threaten-healthcare/

Lankford on autism and vaccines: 'I don't connect those two' (Tara Suter/The Hill)
https://thehill.com/policy/healthcare/5479434-lankford-on-autism-and-vaccines-i-dont-connect-those-two/
http://www.memeorandum.com/250831/p78#a250831p78

EyeAI: AI-Assisted Ocular Disease Detection for Equitable Healthcare Access
Shiv Garg, Ginny Berkemeier
https://arxiv.org/abs/2507.20346 https://arxiv.org/…

EyeAI: AI-Assisted Ocular Disease Detection for Equitable Healthcare Access
Ocular disease affects billions of individuals unevenly worldwide. It continues to increase in prevalence with trends of growing populations of diabetic people, increasing life expectancies, decreasing ophthalmologist availability, and rising costs of care. We present EyeAI, a system designed to provide artificial intelligence-assisted detection of ocular diseases, thereby enhancing global health. EyeAI utilizes a convolutional neural network model trained on 1,920 retinal fundus images to auto…

Former CDC official on RFK Jr. policies: 'I only see harm coming' (Rachel Scully/The Hill)
https://thehill.com/policy/healthcare/5479421-former-cdc-official-kennedy-alarm/
http://www.memeorandum.com/250831/p77#a250831p77

EliseAI, which provides AI tools for healthcare and housing industries, raised a $250M Series E led by a16z, doubling its valuation to $2.2B from August 2024 (Krystal Hu/Reuters)
https://www.reuters.com/business/healthcar

The first-ever human trial exploring the use of stem cell therapy to reverse hearing loss is about to be under way,
after getting the go-ahead from the UK’s Medicines and Healthcare products Regulatory Agency.
In a nutshell, the treatment,
dubbed Rincell-1,
is intended to regrow damaged nerves in the cochlea
and allow them to start sending signals to the brain again.

Stem Cell Treatment to Reverse Hearing Loss Kicking Off in Human Patients
Researchers in the UK have received approval to conduct the first ever human trials for a stem cell treatment to reverse hearing loss.

Importance of User Control in Data-Centric Steering for Healthcare Experts
Aditya Bhattacharya, Simone Stumpf, Katrien Verbert
https://arxiv.org/abs/2506.18770

Importance of User Control in Data-Centric Steering for Healthcare Experts
As Artificial Intelligence (AI) becomes increasingly integrated into high-stakes domains like healthcare, effective collaboration between healthcare experts and AI systems is critical. Data-centric steering, which involves fine-tuning prediction models by improving training data quality, plays a key role in this process. However, little research has explored how varying levels of user control affect healthcare experts during data-centric steering. We address this gap by examining manual and aut…

"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
Akshay Paruchuri, Maryam Aziz, Rohit Vartak, Ayman Ali, Best Uchehara, Xin Liu, Ishan Chatterjee, Monica Agrawal
https://arxiv.org/abs/2506.21532

"What's Up, Doc?": Analyzing How Users Seek Health Information in Large-Scale Conversational AI Datasets
People are increasingly seeking healthcare information from large language models (LLMs) via interactive chatbots, yet the nature and inherent risks of these conversations remain largely unexplored. In this paper, we filter large-scale conversational AI datasets to achieve HealthChat-11K, a curated dataset of 11K real-world conversations composed of 25K user messages. We use HealthChat-11K and a clinician-driven taxonomy for how users interact with LLMs when seeking healthcare information in or…

Sanders pressures RFK Jr. to resign as Health chief after CDC chaos (Filip Timotija/The Hill)
https://thehill.com/policy/healthcare/5479097-sanders-pressures-rfk-jk-resign-health-chief-cdc-chaos/
http://www.memeorandum.com/250831/p15#a250831p15

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach
Hongyan Cheng, Chengzhang Yu, Yanshu Shi, Chiyue Wang, Cong Liu, Zhanpeng Jin
https://arxiv.org/abs/2507.22504

Collaborative Medical Triage under Uncertainty: A Multi-Agent Dynamic Matching Approach
The post-pandemic surge in healthcare demand, coupled with critical nursing shortages, has placed unprecedented pressure on emergency department triage systems, necessitating innovative AI-driven solutions. We present a multi-agent interactive intelligent system for medical triage that addresses three fundamental challenges in current AI-based triage systems: insufficient medical specialization leading to hallucination-induced misclassifications, heterogeneous department structures across healt…

Trump demands pharma companies slash drug prices in next 60 days (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5430571-trump-demands-pharma-companies-slash-drug-prices-in-next-60-days/
http://www.memeorandum.com/250731/p109#a250731p109

Trump Administration Weighs Eliminating Funds for Hospitals Offering Gender Care to Minors (Liz Essley Whyte/Wall Street Journal)
https://www.wsj.com/health/healthcare/gender-surgery-childrens-hospitals-trump-282c4cbb
http://www.memeorandum.com/250630/p98#a250630p98

"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
Hong Wang, Natalia Calvo-Barajas, Katie Winkle, Ginevra Castellano
https://arxiv.org/abs/2506.21322

"Who Should I Believe?": User Interpretation and Decision-Making When a Family Healthcare Robot Contradicts Human Memory
Advancements in robotic capabilities for providing physical assistance, psychological support, and daily health management are making the deployment of intelligent healthcare robots in home environments increasingly feasible in the near future. However, challenges arise when the information provided by these robots contradicts users' memory, raising concerns about user trust and decision-making. This paper presents a study that examines how varying a robot's level of transparency and sociabilit…

We are faced with psychopaths at the helm of our nation's public health, scientific and healthcare efforts.
They want to inflict pain and suffering.
It's a goal, not a by-product
https://skywriter.blue/pages/did:plc:bcen47iol6hccqoufvtk7wt6…

Austin-based Autonomize AI, which develops AI agents for automating administrative workflows in healthcare and life sciences, raised a $28M Series A (Axios)
https://www.axios.com/pro/health-tech-deals/2025/06/12/autonomize-ai-raise…

Exclusive: Autonomize AI gets $28M for health agents
It's the latest sign of investor appetite for infrastructure-layer AI in health care.

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Hashim Hayat, Maksim Kudrautsau, Evgeniy Makarov, Vlad Melnichenko, Tim Tsykunou, Piotr Varaksin, Matt Pavelle, Adam Z. Oskowitz
https://arxiv.org/abs/2507.22902

Toward the Autonomous AI Doctor: Quantitative Benchmarking of an Autonomous Agentic AI Versus Board-Certified Clinicians in a Real World Setting
Background: Globally we face a projected shortage of 11 million healthcare practitioners by 2030, and administrative burden consumes 50% of clinical time. Artificial intelligence (AI) has the potential to help alleviate these problems. However, no end-to-end autonomous large language model (LLM)-based AI system has been rigorously evaluated in real-world clinical practice. In this study, we evaluated whether a multi-agent LLM-based AI framework can function autonomously as an AI doctor in a vir…

USAID cuts may cause over 14 million additional deaths by 2030, study says (Kanishka Singh/Reuters)
https://www.reuters.com/business/healthcare-pharmaceuticals/usaid-cuts-may-cause-over-14-million-additional-deaths-by-2030-study-says-2025-07-01/
http://www.memeorandum.com/250701/p3#a250701p3

Reasoning LLMs in the Medical Domain: A Literature Survey
Armin Berger, Sarthak Khanna, David Berghaus, Rafet Sifa
https://arxiv.org/abs/2508.19097 https://

Reasoning LLMs in the Medical Domain: A Literature Survey
The emergence of advanced reasoning capabilities in Large Language Models (LLMs) marks a transformative development in healthcare applications. Beyond merely expanding functional capabilities, these reasoning mechanisms enhance decision transparency and explainability-critical requirements in medical contexts. This survey examines the transformation of medical LLMs from basic information retrieval tools to sophisticated clinical reasoning systems capable of supporting complex healthcare decisio…

Republican states press Congress to ban abortion shield laws (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5427732-republican-states-target-abortion/
http://www.memeorandum.com/250730/p150#a250730p150

This is the time to speak out, to disembed our selves from a fascist system, to place principles over profit and self-advancement.
To be what Viet Thanh Nguyen calls “disagreeable”.
Yes, of course there are risks.
But at this moment, with ICE in the streets and at our door,
when each hour another liberty is being erased,
and those who speak truth to power are being removed from TV,
from universities, from cultural centers,
when the cultural platform…

How an AI assistant developed by Brazilian nonprofit NoHarm is helping pharmacists in remote Amazon clinics process prescriptions more quickly and catch errors (Pedro Nakamura/Rest of World)
https://restofworld.org/2025/brazil-amazon-ai-healthcare-prescript…

AI is making health care safer in the remote Amazon
At overburdened clinics, pharmacists use AI to catch dangerous errors. It’s frontier tech meets frontier medicine — with global implications.

Beyond Wellbeing Apps: Co-Designing Immersive, Embodied, and Collective Digital Wellbeing Interventions for Healthcare Professionals
Zheyuan Zhang, Jingjing Sun, Dorian Peters, Rafael A. Calvo
https://arxiv.org/abs/2506.19524

Beyond Wellbeing Apps: Co-Designing Immersive, Embodied, and Collective Digital Wellbeing Interventions for Healthcare Professionals
Healthcare professionals (HCPs) face increasing levels of stress and burnout. Technological wellbeing interventions provide accessible and flexible support for HCPs. While most studies have focused on mobile- and web-based programs, alternative technologies like virtual reality (VR), augmented reality (AR), tangible interfaces, and embodied technologies are emerging as engaging and effective tools for wellbeing interventions. However, there is still a lack of research on how such technologies a…

Investigation: healthcare exchanges in Nevada, Maine, Massachusetts, and Rhode Island share sensitive data with Google, LinkedIn, and Snapchat via web trackers (The Markup)
https://themarkup.org/pixel-hunt/2025/06/17/w…

We caught 4 more states sharing personal health data with Big Tech – The Markup
Healthcare exchanges in Nevada, Maine, Massachusetts and Rhode Island shared users’ sensitive health data with companies like Google and LinkedIn

Hi, it’s Alexandria Ocasio-Cortez. 
If we do not assert ourselves and enshrine our rights
— and demand healthcare, and education, and dignity
— the alternative is barbarism,
which is what we are contending with now.
If we do not win unions, healthcare, wages, and ending endless war,
then we will condemn ourselves to barbarism.
𝗜 𝗿𝗲𝗳𝘂𝘀𝗲 𝘁𝗼 𝗴𝗶𝘃𝗲 𝘂𝗽. 𝗜 𝗿𝗲𝗳𝘂𝘀𝗲 𝘁𝗼 𝘀𝘂𝗯𝗺𝗶𝘁 𝗺𝘆𝘀𝗲𝗹𝗳 𝘁𝗼 𝘁𝗵𝗮𝘁 𝗳𝘂𝘁𝘂𝗿𝗲. 𝗧𝗵𝗮𝘁’𝘀 𝗻𝗼𝘁 𝗮 𝗹𝗶𝗳𝗲.
𝘐𝘧 𝘺𝘰𝘶 𝘤𝘢𝘯, 𝘱𝘪𝘵𝘤𝘩 𝘪𝘯 𝘢𝘯𝘺 𝘢𝘮𝘰𝘶𝘯𝘵 𝘵𝘩𝘢𝘵 …

Donate to AOC.
Alexandria is fighting for progressive policies that can help create social, racial, and economic justice for all. That's why she's taking $0 from corporations and lobbyists and is relying on the grassroots to power her campaign.

RFK Jr. lashes out at vaccine injury program, pledges changes (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5424550-rfk-jr-vaccine-injury-program-pledges-changes/
http://www.memeorandum.com/250728/p144#a250728p144

FDA approves COVID-19 vaccines only for 'high risk' people (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5473728-fda-approval-updated-covid-19-vaccines/
http://www.memeorandum.com/250828/p2#a250828p2

3 CDC leaders resign over 'weaponizing of public health' (The Hill)
https://thehill.com/policy/healthcare/5474217-three-cdc-leaders-resign-over-weaponizing-of-public-health/
http://www.memeorandum.com/250827/p153#a250827p153

Coke with cane sugar may not be that big of a MAHA victory (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5421315-healthy-america-food-reform/
http://www.memeorandum.com/250727/p30#a250727p30

Medicaid changes will hurt family caregivers, experts warn (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5421325-medicaid-cuts-caregivers/
http://www.memeorandum.com/250727/p42#a250727p42

Senate Democrats demand answers on rural health fund (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5421354-senate-democrats-demand-answers-on-rural-health-fund/
http://www.memeorandum.com/250725/p123#a250725p123

Cassidy calls for postponing RFK Jr's vaccine advisory panel meeting (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5365441-cassidy-rfk-jr-vaccine-advisory-panel-meeting/
http://www.memeorandum.com/250624/p6#a250624p6

RFK Jr. to Oust Advisory Panel on Cancer Screenings, HIV Prevention Drugs (Liz Essley Whyte/Wall Street Journal)
https://www.wsj.com/health/healthcare/rfk-health-screening-panel-members-c308cbb0
http://www.memeorandum.com/250725/p117#a250725p117

State Medicaid programs face 'big, beautiful' time crunch (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5416523-states-scramble-medicaid-cuts/
http://www.memeorandum.com/250724/p40#a250724p40

RFK Jr. sued over a task force by the anti-vaccine group he founded (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5417624-rfk-jr-sued-childrens-health-defense-childhood-vaccine-task-force/
http://www.memeorandum.com/250724/p43#a250724p43