Tootfinder

Trump administration makes sweeping changes to ObamaCare, ends 'Dreamer' coverage (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5361480-trump-obamacare-dreamer-coverage-ends/
http://www.memeorandum.com/250620/p106#a250620p106

Some people make me want to charge up the cattle prod. He's one.
Dr. Oz applauds blue states rolling back migrant health coverage
https://thehill.com/policy/healthcare/5361875-dr-oz-medicaid-medicare-migrant-health-coverage/

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.

Since “Get Your War On” (the post 9/11 webcomic) came up as a subject on BlueSky, I’ve also been zipping through the old comics and JFC…”Plus les choses changent, plus elles restent les mêmes”
http://www.mnftiu.cc/2001/11/08/war4-4/

Children will get sick and die because Trump owed RFK Jr. a favor
https://thehill.com/opinion/healthcare/5357380-children-will-get-sick-and-die-because-trump-owed-rfk-jr-a-favor/

Texas district judge overturns Biden rule on expanded abortion privacy protections (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5359403-texas-judge-biden-rule-abortion-privacy-hipaa/
http://www.memeorandum.com/250619/p75#a250619p75

The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
Naresh Tiwari
https://arxiv.org/abs/2506.11412 https://…

The Strategic Imperative for Healthcare Organizations to Build Proprietary Foundation Models
This paper presents a comprehensive analysis of the strategic imperative for healthcare organizations to develop proprietary foundation models rather than relying exclusively on commercial alternatives. We examine four fundamental considerations driving this imperative: the domain-specific requirements of healthcare data representation, critical data sovereignty and governance considerations unique to healthcare, strategic competitive advantages afforded by proprietary AI infrastructure, and th…

Take back our economy from the oligarchs by democratizing it
Privatization of public services has proven to be a massive failure for housing, healthcare, transportation, energy, etc.
Publicly funded and operated services are how we will save our democracy!
https://youtu.be/sWHxKD27XKk

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

More than 5 million affected by data breach at healthcare tech firm Episource https://therecord.media/5-million-affected-episource-data-breach

Three guesses as to which Texas judge:
Judge overturns Biden's privacy rule on abortion care
https://thehill.com/policy/healthcare/5359403-texas-judge-biden-rule-abortion-privacy-hipaa/

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Ivania Donoso-Guzm\'an, Krist\'yna Sirka Kacaf\'irkov\'a, Maxwell Szymanski, An Jacobs, Denis Parra, Katrien Verbert
https://arxiv.org/abs/2506.13904

A Systematic Review of User-Centred Evaluation of Explainable AI in Healthcare
Despite promising developments in Explainable Artificial Intelligence, the practical value of XAI methods remains under-explored and insufficiently validated in real-world settings. Robust and context-aware evaluation is essential, not only to produce understandable explanations but also to ensure their trustworthiness and usability for intended users, but tends to be overlooked because of no clear guidelines on how to design an evaluation with users. This study addresses this gap with two ma…

Stoller: “Private Equity, UnitedHealth Take a Huge Loss as Oregon Bans Corporate Control of Doctors”.
Here in Canada, the home of single-payer free-for-residents healthcare, we’ve also had financiers rolling up a variety of healthcare operations and we should do like Oregon.
https://www.

Private Equity, UnitedHealth Take a Huge Loss as Oregon Bans Corporate Control of Doctors
Oregon passes SB 951, a bill that prohibits private equity and corporate decision-making in health care. UnitedHealth Group, Amazon, and private equity lobbied fiercely, but lost. Is it a trend?

Omg. I thought this was satire. It's not.
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients

Commure, which provides ambient AI, revenue cycle management, and workflow automation tools for healthcare providers, raised $200M from General Catalyst (Erin Brodwin/Axios)
https://www.axios.com/pro/health-tech-deals/2025/06/19/commure-…

Commure raises $200M from GC's marketing fund
The company's CEO says it may also raise another round of capital later this year.

WTF.....
"Extremely disturbing and unethical’: new rules allow VA doctors to refuse to treat Democrats, unmarried veterans"
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients

This https://arxiv.org/abs/2504.03737 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csOH_…

PrediHealth: Telemedicine and Predictive Algorithms for the Care and Prevention of Patients with Chronic Heart Failure
The management of chronic heart failure presents significant challenges in modern healthcare, requiring continuous monitoring, early detection of exacerbations, and personalized treatment strategies. This paper presents the preliminary results of the PrediHealth research project conducted in this context. Specifically, it aims to address the challenges above by integrating telemedicine, mobile health solutions, and predictive analytics into a unified digital healthcare platform. We leveraged a …

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
Gargi Mitra, Mohammadreza Hallajiyan, Inji Kim, Athish Pranav Dharmalingam, Mohammed Elnawawy, Shahrear Iqbal, Karthik Pattabiraman, Homa Alemzadeh
https://arxiv.org/abs/2506.15028

Systems-Theoretic and Data-Driven Security Analysis in ML-enabled Medical Devices
The integration of AI/ML into medical devices is rapidly transforming healthcare by enhancing diagnostic and treatment facilities. However, this advancement also introduces serious cybersecurity risks due to the use of complex and often opaque models, extensive interconnectivity, interoperability with third-party peripheral devices, Internet connectivity, and vulnerabilities in the underlying technologies. These factors contribute to a broad attack surface and make threat prevention, detection,…

Collaborative Editable Model
Kaiwen Tang, Aitong Wu, Yao Lu, Guangda Sun
https://arxiv.org/abs/2506.14146 https://arxiv.org/pdf/2506.…

Collaborative Editable Model
Vertical-domain large language models (LLMs) play a crucial role in specialized scenarios such as finance, healthcare, and law; however, their training often relies on large-scale annotated data and substantial computational resources, impeding rapid development and continuous iteration. To address these challenges, we introduce the Collaborative Editable Model (CoEM), which constructs a candidate knowledge pool from user-contributed domain snippets, leverages interactive user-model dialogues c…

https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients

Trump "honors" the military.
Trump executive order ‘extremely disturbing and unethical’: new rules allow VA doctors to refuse to treat Democrats, unmarried veterans
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients…

Isn't it absurd that a medical practice has to keep telling successive people that they need a new referral to set up an appointment for their child, because they have a referral to a medical practice dedicated to children, while their doctor for children is technically employed by a regular practice?
#Poland #HealthCare

Senate bill's Medicaid cuts draw some GOP angst (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5355932-senate-medicaid-cuts-concern/
http://www.memeorandum.com/250618/p20#a250618p20

‘Extremely disturbing and unethical’: new rules allow VA doctors to refuse to treat Democrats, unmarried veterans | Trump administration | The Guardian https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Matthew Lau, Tian-Yi Zhou, Xiangchi Yuan, Jizhou Chen, Wenke Lee, Xiaoming Huo
https://arxiv.org/abs/2506.13955

Bridging Unsupervised and Semi-Supervised Anomaly Detection: A Theoretically-Grounded and Practical Framework with Synthetic Anomalies
Anomaly detection (AD) is a critical task across domains such as cybersecurity and healthcare. In the unsupervised setting, an effective and theoretically-grounded principle is to train classifiers to distinguish normal data from (synthetic) anomalies. We extend this principle to semi-supervised AD, where training data also include a limited labeled subset of anomalies possibly present in test time. We propose a theoretically-grounded and empirically effective framework for semi-supervised AD t…

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.

Horrifying:
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients?CMP=Share_AndroidApp_Other

Horrifying:
https://www.theguardian.com/us-news/2025/jun/16/va-doctors-refuse-treat-patients?CMP=Share_AndroidApp_Other

Cada vez que veo noticias sobre las IAs como esta pienso que aquí nos enteramos de estas miserias, se comparten, se comentan... pero ¿y fuera? Por ejemplo, la gente en general es consciente de lo que supone para su privacidad que una IA grabe y "transcriba" una conversación confidencial con su médico?

Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data
Federica Spoto, Jiazi Tian, Jonas H\"ugel, Daniel T. Ortega, Christine S. Ritchie, Deborah Blacker, Francesca Dominici, Chirag J. Patel, Daniel Mork, Hossein Estiri
https://arxiv.org/abs/2506.14669

Quantifying Diagnostic Signal Decay in Dementia: A National Study of Medicare Hospitalization Data
Background: Artificial intelligence (AI) models in healthcare depend on the fidelity of diagnostic data, yet the quality of such data is often compromised by variability in clinical documentation practices. In dementia, a condition already prone to diagnostic ambiguity, this variability may introduce systematic distortion into claims-based research and AI model development. Methods: We analyzed Medicare Part A hospitalization data from 2016-2018 to examine patterns of dementia-related ICD-10 …

Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication
Tauhid Tanjim, Promise Ekpo, Huajie Cao, Jonathan St. George, Kevin Ching, Hee Rin Lee, Angelique Taylor
https://arxiv.org/abs/2506.08890

Human-Robot Teaming Field Deployments: A Comparison Between Verbal and Non-verbal Communication
Healthcare workers (HCWs) encounter challenges in hospitals, such as retrieving medical supplies quickly from crash carts, which could potentially result in medical errors and delays in patient care. Robotic crash carts (RCCs) have shown promise in assisting healthcare teams during medical tasks through guided object searches and task reminders. Limited exploration has been done to determine what communication modalities are most effective and least disruptive to patient care in real-world sett…

`Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being
Sharifa Sultana, Hafsah Mahzabin Chowdhury, Zinnat Sultana, Nervo Verdezoto
https://arxiv.org/abs/2506.12357

`Socheton': A Culturally Appropriate AI Tool to Support Reproductive Well-being
Reproductive well-being education in the Global South is often challenged as many communities perceive many of its contents as misinformation, misconceptions, and language-inappropriate. Our ten-month-long ethnographic study (n=41) investigated the impact of sociocultural landscape, cultural beliefs, and healthcare infrastructure on Bangladeshi people's access to quality reproductive healthcare and set four design goals: combating misinformation, including culturally appropriate language, profe…

Is Your Training Pipeline Production-Ready? A Case Study in the Healthcare Domain
Daniel Lawand (University of S\~ao Paulo), Lucas Quaresma (University of S\~ao Paulo), Roberto Bolgheroni (University of S\~ao Paulo), Alfredo Goldman (University of S\~ao Paulo), Renato Cordeiro Ferreira (University of S\~ao Paulo, Jheronimus Academy of Data Science, Technical University of Eindhoven, Tilburg University)

Is Your Training Pipeline Production-Ready? A Case Study in the Healthcare Domain
Deploying a Machine Learning (ML) training pipeline into production requires robust software engineering practices. This differs significantly from experimental workflows. This experience report investigates this challenge in SPIRA, a project whose goal is to create an ML-Enabled System (MLES) to pre-diagnose insufficiency respiratory via speech analysis. The first version of SPIRA's training pipeline lacked critical software quality attributes. This paper presents an overview of the MLES, then…

This https://arxiv.org/abs/2505.09619 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_sta…

Predictive Models for Chronic Heart Failure
The management of chronic Heart Failure (HF) presents significant challenges in modern healthcare, requiring continuous monitoring, early detection of exacerbations, and personalized treatment strategies. In this paper, we present a predictive model founded on Machine Learning (ML) techniques to identify patients at HF risk. This model is an ensemble learning approach, a modified stacking technique, that uses two specialized models leveraging clinical and echocardiographic features and then a m…

‘This isn’t just about Trump’: the Rev William Barber arrested after prayer-protest against Republican-led budget
Eight were arrested at Moral Monday, an effort to stop a bill they say will slash vital healthcare for lower-income people
https://www.theguardia…

RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
Yuchuan Fu, Xiaohan Yuan, Dongxia Wang
https://arxiv.org/abs/2506.15253

RAS-Eval: A Comprehensive Benchmark for Security Evaluation of LLM Agents in Real-World Environments
The rapid deployment of Large language model (LLM) agents in critical domains like healthcare and finance necessitates robust security frameworks. To address the absence of standardized evaluation benchmarks for these agents in dynamic environments, we introduce RAS-Eval, a comprehensive security benchmark supporting both simulated and real-world tool execution. RAS-Eval comprises 80 test cases and 3,802 attack tasks mapped to 11 Common Weakness Enumeration (CWE) categories, with tools implemen…

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs
Christiana Chamon, Abhijit Sarkar, A. Lynn Abbott
https://arxiv.org/abs/2506.05135 https://…

Noise-Driven AI Sensors: Secure Healthcare Monitoring with PUFs
Wearable and implantable healthcare sensors are pivotal for real-time patient monitoring but face critical challenges in power efficiency, data security, and signal noise. This paper introduces a novel platform that leverages hardware noise as a dual-purpose resource to enhance machine learning (ML) robustness and secure data via Physical Unclonable Functions (PUFs). By integrating noise-driven signal processing, PUFbased authentication, and ML-based anomaly detection, our system achieves secur…

Judge orders many NIH grants restored, calling cancellation unlawful (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5353385-trump-administration-grants-ruling/
http://www.memeorandum.com/250616/p134#a250616p134

This https://arxiv.org/abs/2505.10360 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

FactsR: A Safer Method for Producing High Quality Healthcare Documentation
There are now a multitude of AI-scribing solutions for healthcare promising the utilization of large language models for ambient documentation. However, these AI scribes still rely on one-shot, or few-shot prompts for generating notes after the consultation has ended, employing little to no reasoning. This risks long notes with an increase in hallucinations, misrepresentation of the intent of the clinician, and reliance on the proofreading of the clinician to catch errors. A dangerous combinati…

This https://arxiv.org/abs/2412.07818 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Real-time Chest X-Ray Distributed Decision Support for Resource-constrained Clinics
Internet of Things (IoT) based healthcare systems offer significant potential for improving the delivery of healthcare services in humanitarian engineering, providing essential healthcare services to millions of underserved people in remote areas worldwide. However, these areas have poor network infrastructure, making communications difficult for traditional IoT. This paper presents a real-time chest X-ray classification system for hospitals in remote areas using FastDDS real-time middleware, o…

New survey data out Friday shows that Republicans are wrong if they remain unconcerned about public sentiment as it relates to the evisceration of Medicaid or healthcare support systems that would result from passage of their colossal legislation now making its way through Congress
— a bill that, if passed, would see coverage stripped from an estimated 11-16 million people in the coming years.

Poll Shows GOP Senators Who Vote to Cut Medicaid Could Face Political Peril
A KFF Health Tracking Poll shows anxiety is high about looming Medicaid cuts among voters across the political spectrum.

Balanced Area Deprivation Index (bADI): Enhancing social determinants of health indices to strengthen their association with healthcare clinical outcomes, utilization and costs
Mohammad Amin Morid, Robert E Tillman, Eran Halperin
https://arxiv.org/abs/2506.08131

Balanced Area Deprivation Index (bADI): Enhancing social determinants of health indices to strengthen their association with healthcare clinical outcomes, utilization and costs
Background: As value-based care expands across the U.S. healthcare system, reducing health disparities has become a priority. Social determinants of health (SDoH) indices, like the widely used Area Deprivation Index (ADI), guide efforts to manage patient health and costs. However, the ADI's reliance on housing-related variables (e.g., median home value) may reduce its effectiveness, especially in high-cost regions, by masking inequalities and poor health outcomes. Methods: To overcome these l…

Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction
Mbithe Nzomo, Deshendran Moodley
https://arxiv.org/abs/2506.13920

Integrating Knowledge Graphs and Bayesian Networks: A Hybrid Approach for Explainable Disease Risk Prediction
Multimodal electronic health record (EHR) data is useful for disease risk prediction based on medical domain knowledge. However, general medical knowledge must be adapted to specific healthcare settings and patient populations to achieve practical clinical use. Additionally, risk prediction systems must handle uncertainty from incomplete data and non-deterministic health outcomes while remaining explainable. These challenges can be alleviated by the integration of knowledge graphs (KGs) and Bay…

@Snowshadow@mastodon.social
Would be a shame if the crazy red hat wearing health sites were reported
https://www.wtphealthcare.com/

We The People Health and Wellness Center | Primary Care | 959 East Venice Avenue, Venice, FL, USA
We The People Health and Wellness Center in Venice, Florida. Our DPC services offer transparent, affordable plans with unlimited telehealth visits for adults and pediatrics. Redefine your healthcare experience with IV Therapy, Red Light Therapy, Vitamin Shots, and Functional Medicine. Visit wtphealthcare.com for more. medical freedom, direct primary care, doctors that care, primary care, IV therapy, PRP therapy, massage therapy, red light therapy, pediatric care, vitamin shots, supplements.

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.

White House denies reporting by Guardian on VA benefits: 'Totally FALSE story' (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5353202-va-hospitals-report-white-house-denial/
http://www.memeorandum.com/250616/p133#a250616p133

Newsweek acquires adtech firm Adprime, a demand-side platform focused on healthcare marketers, to strengthen its health vertical and grow B2B revenue (Mark Stenberg/Adweek)
https://www.adweek.com/media/newsweek-adtech-firm-adprime-health-expansion/

Newsweek Snaps Up Adtech Firm Adprime to Fuel Health Expansion
The tie-up is part of a broader bid from the publisher to diversify its advertising

This https://arxiv.org/abs/2506.06091 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCL_…

MIRIAD: Augmenting LLMs with millions of medical query-response pairs
LLMs are bound to transform healthcare with advanced decision support and flexible chat assistants. However, LLMs are prone to generate inaccurate medical content. To ground LLMs in high-quality medical knowledge, LLMs have been equipped with external knowledge via RAG, where unstructured medical knowledge is split into small text chunks that can be selectively retrieved and integrated into the LLMs context. Yet, existing RAG pipelines rely on raw, unstructured medical text, which can be noisy,…

The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
Aditya Majumdar, Wenbo Zhang, Kashvi Prawal, Amulya Yadav
https://arxiv.org/abs/2506.14829

The Hardness of Achieving Impact in AI for Social Impact Research: A Ground-Level View of Challenges & Opportunities
In an attempt to tackle the UN SDGs, AI for Social Impact (AI4SI) projects focus on harnessing AI to address societal issues in areas such as healthcare, social justice, etc. Unfortunately, despite growing interest in AI4SI, achieving tangible, on-the-ground impact remains a significant challenge. For example, identifying and engaging motivated collaborators who are willing to co-design and deploy AI based solutions in real-world settings is often difficult. Even when such partnerships are esta…

Abortion providers devastated by political killings, hit list (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5353386-abortion-providers-targeted-missouri-shooting/
http://www.memeorandum.com/250616/p135#a250616p135

Improving wastewater-based epidemiology through strategic placement of samplers
Anthony J Wood, Jessica Enright, Aeron R Sanchez, Ewan Colman, Rowland R Kao
https://arxiv.org/abs/2506.14331

Improving wastewater-based epidemiology through strategic placement of samplers
Wastewater-based epidemiology (WBE) is a fast emerging method for passively monitoring diseases in a population. By measuring the concentrations of pathogenic materials in wastewater, WBE negates demographic biases in clinical testing and healthcare demand, and may act as a leading indicator of disease incidence. For a WBE system to be effective, it should detect the presence of a new pathogen of concern early enough and with enough precision that it can still be localised and contained. In t…

GP leaders have halted progress on a predictive AI model based citing concern about whether the correct procedures were followed. The pause is likely to frustrate those advocating for greater use of AI within healthcare.
https://www.computing.co.uk/news/2025/ai/gps-f…

GPs force NHS England to hit pause on a ‘ground-breaking’ AI project
GP leaders have halted progress on a predictive AI model based citing concern about whether the correct procedures were followed. The pause is likely to ...

Searching Clinical Data Using Generative AI
Karan Hanswadkar, Anika Kanchi, Shivani Tripathi, Shi Qiao, Rony Chatterjee, Alekh Jindal
https://arxiv.org/abs/2505.24090

Searching Clinical Data Using Generative AI
Artificial Intelligence (AI) is making a major impact on healthcare, particularly through its application in natural language processing (NLP) and predictive analytics. The healthcare sector has increasingly adopted AI for tasks such as clinical data analysis and medical code assignment. However, searching for clinical information in large and often unorganized datasets remains a manual and error-prone process. Assisting this process with automations can help physicians improve their operationa…

How Kennedy's overhaul could make vaccines more expensive (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5350100-acip-replacement-vaccine-policy-impact/
http://www.memeorandum.com/250615/p47#a250615p47

This https://arxiv.org/abs/2504.20118 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csIR_…

OpenTCM: A GraphRAG-Empowered LLM-based System for Traditional Chinese Medicine Knowledge Retrieval and Diagnosis
Traditional Chinese Medicine (TCM) represents a rich repository of ancient medical knowledge that continues to play an important role in modern healthcare. Due to the complexity and breadth of the TCM literature, the integration of AI technologies is critical for its modernization and broader accessibility. However, this integration poses considerable challenges, including the interpretation of obscure classical Chinese texts and the modeling of intricate semantic relationships among TCM concep…

AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes
Ahasan Ahmed, Albatoul Khaled, Muhammad Waqar, DrJavaid Akhtar Hashmi, Hazem AbdulKareem Alfanash, Wesam Taher Almagharbeh, Amine Hamdache, Ilias Elmouki
https://arxiv.org/abs/2506.08229…

AI-Driven Early Detection of Cardiovascular Diseases: Reducing Healthcare Costs and improving patient Outcomes
The main goal from this study is to discuss the main features of Artificial intelligence (AI) as well as their applicability for early cardiovascular Disease (CVDs) Detection, Material and Method : Systematic review approach Results : It was seen that integrating AI algorithm the diagnosis of CVDs become more accurate and lee time consuming. Conclusion: Now the concept of using AI technologies in cardiovascular health care holds the potential to transform disease management .

The program they want to cut helps poor people afford their healthcare...
Yes, They’re Going After Medicare Too - by Jonathan Cohn
https://www.thebulwark.com/p/yes-they-are-going-after-medicare-too-republicans-big-beautiful-bill-health-care-vulnerable

Bipartisan bill aims to create CISA-HHS liaison for hospital cyberattacks https://therecord.media/bill-proposes-cisa-hhs-liaison-hospital-cyberattacks

How do I know May Day is gonna be big? I'm going to be able to join an event in Studio City
I'm attending May Day Strong's event, “May Day Strong: We are the Many” - sign up now to join me! https://www.

@Snowshadow@mastodon.social
Would be a shame if the crazy red hat wearing health sites were reported
https://www.wtphealthcare.com/

We The People Health and Wellness Center | Primary Care | 959 East Venice Avenue, Venice, FL, USA
We The People Health and Wellness Center in Venice, Florida. Our DPC services offer transparent, affordable plans with unlimited telehealth visits for adults and pediatrics. Redefine your healthcare experience with IV Therapy, Red Light Therapy, Vitamin Shots, and Functional Medicine. Visit wtphealthcare.com for more. medical freedom, direct primary care, doctors that care, primary care, IV therapy, PRP therapy, massage therapy, red light therapy, pediatric care, vitamin shots, supplements.

When unvaccinated families present with measles at healthcare centres, doctors sometimes struggle to even discuss vaccination with the parents, Hussain said.
“It’s really hard to even approach the conversation.
I would ask: ‘How come you aren’t [vaccinated]?’
And they will say: ‘Oh, we’re exempt’
or ‘We’ve had this discussion before and we just don’t want to,’” she said

Anomaly Detection and Generation with Diffusion Models: A Survey
Yang Liu, Jing Liu, Chengfang Li, Rui Xi, Wenchao Li, Liang Cao, Jin Wang, Laurence T. Yang, Junsong Yuan, Wei Zhou
https://arxiv.org/abs/2506.09368

Anomaly Detection and Generation with Diffusion Models: A Survey
Anomaly detection (AD) plays a pivotal role across diverse domains, including cybersecurity, finance, healthcare, and industrial manufacturing, by identifying unexpected patterns that deviate from established norms in real-world data. Recent advancements in deep learning, specifically diffusion models (DMs), have sparked significant interest due to their ability to learn complex data distributions and generate high-fidelity samples, offering a robust framework for unsupervised AD. In this surve…

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation
Hamza Khan, Lore Menten, Liesbet M. Peeters
https://arxiv.org/abs/2506.02942

An Algorithmic Pipeline for GDPR-Compliant Healthcare Data Anonymisation: Moving Toward Standardisation
High-quality real-world data (RWD) is essential for healthcare but must be transformed to comply with the General Data Protection Regulation (GDPR). GDPRs broad definitions of quasi-identifiers (QIDs) and sensitive attributes (SAs) complicate implementation. We aim to standardise RWD anonymisation for GDPR compliance while preserving data utility by introducing an algorithmic method to identify QIDs and SAs and evaluate utility in anonymised datasets. We conducted a systematic literature review…

Amazon reorganizes its healthcare business into six "pillars" to simplify its structure, following executive departures and its struggles in the market (CNBC)
https://www.cnbc.com/2025/06/13/amazon-reorganizes-i…

Amazon reorganizes health-care business in latest bid to crack multitrillion-dollar market
Amazon is reorganizing its health-care business into six "pillars" to simplify its structure in a market where it's spent billions of dollars on acquisitions.

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Vishnu Ramineni, Balaji Shesharao Ingole, Nikhil Kumar Pulipeta, Balakrishna Pothineni, Aditya Gupta
https://arxiv.org/abs/2505.24042

Advancing Digital Accessibility In Digital Pharmacy, Healthcare, And Wearable Devices: Inclusive Solutions for Enhanced Patient Engagement
Modern healthcare facilities demand digital accessibility to guarantee equal access to telemedicine platforms, online pharmacy services, and health monitoring devices that can be worn or are handy. With the rising call for the implementation of robust digital healthcare solutions, people with disabilities encounter impediments in their endeavor of managing and getting accustomed to these modern technologies owing to insufficient accessibility features. The paper highlights the role of comprehen…

Ground Reaction Force Estimation via Time-aware Knowledge Distillation
Eun Som Jeon, Sinjini Mitra, Jisoo Lee, Omik M. Save, Ankita Shukla, Hyunglae Lee, Pavan Turaga
https://arxiv.org/abs/2506.10265

Ground Reaction Force Estimation via Time-aware Knowledge Distillation
Human gait analysis with wearable sensors has been widely used in various applications, such as daily life healthcare, rehabilitation, physical therapy, and clinical diagnostics and monitoring. In particular, ground reaction force (GRF) provides critical information about how the body interacts with the ground during locomotion. Although instrumented treadmills have been widely used as the gold standard for measuring GRF during walking, their lack of portability and high cost make them impracti…

Cassidy in a bind as RFK Jr. blows up vaccine policy (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5345378-kennedy-cassidy-vaccine-policy/
http://www.memeorandum.com/250612/p14#a250612p14

Lightweight Electronic Signatures and Reliable Access Control Included in Sensor Networks to Prevent Cyber Attacks from Modifying Patient Data
Mishall Al-Zubaidie
https://arxiv.org/abs/2506.08828

Lightweight Electronic Signatures and Reliable Access Control Included in Sensor Networks to Prevent Cyber Attacks from Modifying Patient Data
Digital terrorism is a major cause of securing patient/healthcare providers data and information. Sensitive topics that may have an impact on a patient's health or even national security include patient health records and information on healthcare providers. Health databases and data sets have been continually breached by many, regular assaults, as well as local and remote servers equipped with wireless sensor networks (WSNs) in diverse locations. The problem was addressed by some contemporary …

Skyral, a London-based modeling and simulation startup developing AI-based digital twin tech for defense, healthcare, and other sectors, raised a $20M Series A (Lucy Adams/Tech.eu)
https://tech.eu/2025/06/04/uk-based-sk

UK-based Skyral raises $20M Series A to expand modelling and simulation tech globally
British modelling and simulation startup Skyral has secured $20 million in Series A funding, led by NOIA Capital in partnership with Accrete Capital, as it looks to expand the global reach of its AI-enabled digital twin technology across sectors including defence, national security, healthcare, and infrastructure. Founded in June 2023 and headquartered in the UK, Skyral is developing a next-generation platform that combines digital twin modelling with artificial intelligence to simulate comple…

Predictive Models for Chronic Heart Failure
Pietro Cassieri, Aiman Faiz, Anna Maria De Roberto, Claudio Pascarelli, Gianvito Mitrano, Gianluca Fimiani, Marina Garofano, Christiancarmine Esposito, Genoveffa Tortora, Alessia Bramanti, Giuseppe Scanniello
https://arxiv.org/abs/2505.09619

Predictive Models for Chronic Heart Failure
The management of chronic Heart Failure (HF) presents significant challenges in modern healthcare, requiring continuous monitoring, early detection of exacerbations, and personalized treatment strategies. In this paper, we present a predictive model founded on Machine Learning (ML) techniques to identify patients at HF risk. This model is an ensemble learning approach, a modified stacking technique, that uses two specialized models leveraging clinical and echocardiographic features and then a m…

A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure Cloud Computing
Sabbir M. Saleh, Nazim Madhavji, John Steinbacher
https://arxiv.org/abs/2506.08055

A Systematic Literature Review on Continuous Integration and Deployment (CI/CD) for Secure Cloud Computing
As cloud environments become widespread, cybersecurity has emerged as a top priority across areas such as networks, communication, data privacy, response times, and availability. Various sectors, including industries, healthcare, and government, have recently faced cyberattacks targeting their computing systems. Ensuring secure app deployment in cloud environments requires substantial effort. With the growing interest in cloud security, conducting a systematic literature review (SLR) is critica…

This https://arxiv.org/abs/2505.10328 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csAI_…

A Comparative Study of SMT and MILP for the Nurse Rostering Problem
The effects of personnel scheduling on the quality of care and working conditions for healthcare personnel have been thoroughly documented. However, the ever-present demand and large variation of constraints make healthcare scheduling particularly challenging. This problem has been studied for decades, with limited research aimed at applying Satisfiability Modulo Theories (SMT). SMT has gained momentum within the formal verification community in the last decades, leading to the advancement of S…

The GOP’s Budget Plan Is a Crisis in the Making for Hospitals - MedCity News
https://medcitynews.com/2025/06/gop-trump-healthcare-medicaid-hospital-budget/

A man I have long admired, for good reasons. Worth supporting his cause with donations
https://www.theguardian.com/us-news/2025/jun/04/moral-monday-protest-rev-william-barber-arrest

A man I have long admired, for good reasons. Worth supporting his cause with donations
https://www.theguardian.com/us-news/2025/jun/04/moral-monday-protest-rev-william-barber-arrest

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Samuel Holt, Max Ruiz Luyten, Antonin Berthon, Mihaela van der Schaar
https://arxiv.org/abs/2506.09272

G-Sim: Generative Simulations with Large Language Models and Gradient-Free Calibration
Constructing robust simulators is essential for asking "what if?" questions and guiding policy in critical domains like healthcare and logistics. However, existing methods often struggle, either failing to generalize beyond historical data or, when using Large Language Models (LLMs), suffering from inaccuracies and poor empirical alignment. We introduce G-Sim, a hybrid framework that automates simulator construction by synergizing LLM-driven structural design with rigorous empirical calibration…

Trump's former surgeon general rips RFK Jr.'s purge of vaccine board (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5346914-trump-former-surgeon-general-vaccines/
http://www.memeorandum.com/250612/p117#a250612p117

I didn’t expect that my career-ending move would be to say 'stop bombing hospitals'
https://www.democracynow.org/2025/6/6/university_california_san_francisco_gaza

Fired over Gaza? Dr. Rupa Marya Sues UCSF, Says She Was Targeted for Speaking Up for Palestine
We speak with Dr. Rupa Marya, a physician, activist, author and composer, who this week filed two free speech complaints against her former employer, the University of California, San Francisco. The school fired her last month after a lengthy suspension over her criticism of Israel’s war on Gaza and its impact on healthcare in the Palestinian territory. “I didn’t expect that my career-ending move would be to say 'stop bombing hospitals,' for expressing support for Palestinian liberation a…

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
Vivek Chavan, Arsen Cenaj, Shuyuan Shen, Ariane Bar, Srishti Binwani, Tommaso Del Becaro, Marius Funk, Lynn Greschner, Roberto Hung, Stina Klein, Romina Kleiner, Stefanie Krause, Sylwia Olbrych, Vishvapalsinhji Parmar, Jaleh Sarafraz, Daria Soroko, Daksitha Withanage Don, Chang Zhou, Hoang Thuy Duong Vu, Parastoo Semnani, Daniel Weinhardt, Elisabeth Andre, J\"org Kr\"uger, Xavier Fresquet

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI
This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-career researchers from multiple fields, it explores how AI systems that simulate or interpret human emotions are reshaping our interactions in areas such as education, healthcare, mental health, caregiving, and digital life. The analysis is structured around four central themes: the ethical implications of emotional AI, …

Dr. Oz on Medicaid cuts: People should ‘prove that they matter’
https://thehill.com/policy/healthcare/5334508-dr-oz-medicaid-cuts-work-requirements/

Ellipsis Health, which developed an AI voice agent to check in on patients between doctor visits, raised a $45M Series A led by Salesforce, Khosla, and CVS (Brian Gormley/Wall Street Journal)
https://www.

Watch live: NIH director testifies in Senate amid deep cuts to research (The Hill)
https://thehill.com/policy/healthcare/5341647-nih-director-testifies-senate-cuts/
http://www.memeorandum.com/250610/p68#a250610p68

Organic ground beef sold at Whole Foods could be contaminated with E. coli: FSIS
https://thehill.com/policy/healthcare/5332188-ground-beef-recall-e-coli/

Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions
Vishnu Ramineni, Shivareddy Devarapalli, Balakrishna Pothineni, Prema Kumar Veerapaneni, Aditya Gupta, Pankaj Gupta
https://arxiv.org/abs/2505.24039

Advancing Digital Accessibility: Integrating AR/VR and Health Tech for Inclusive Healthcare Solutions
Modern healthcare domain incorporates a feature of digital accessibility to ensure seamless flow of online services for the patients. However, this feature of digital accessibility poses a challenge particularly for patients with disabilities. To eradicate this issue and provide immersive and user-friendly experiences, evolving technologies like Augmented Reality (AR) and Virtual Reality (VR) are integrated in medical applications to enhance accessibility. The present research paper aims to stu…

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
Anum Nawaz, Hafiz Humza Mahmood Ramzan, Xianjia Yu, Zhuo Zou, Tomi Westerlund
https://arxiv.org/abs/2506.02038

Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment
Edge Intelligence (EI) serves as a critical enabler for privacy-preserving systems by providing AI-empowered computation and distributed caching services at the edge, thereby minimizing latency and enhancing data privacy. The integration of blockchain technology further augments EI frameworks by ensuring transactional transparency, auditability, and system-wide reliability through a decentralized network model. However, the operational architecture of such systems introduces inherent vulnerabil…

There’s no rain in the forecast for Flin Flon, Manitoba over the next week as crews there fight a wildfire that’s raging nearby.
Temperatures throughout the weekend are expecting to range from the low to high 20s, before cooling off.
Thousands have evacuated the northwestern Manitoba city, including municipal government officials and health-care professionals.

No rain forecast as crews battle Flin Flon wildfire
Thousands have evacuated the northwestern Manitoba city, including municipal government officials and healthcare professionals. So far, the wildfires have displaced over 17,000.

What's a Medicaid cut? Senate GOP tiptoes around $800B question (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5335867-senate-gop-medicaid-cuts/
http://www.memeorandum.com/250609/p23#a250609p23

WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop
Vanessa Borst, Anna Riedmann, Tassilo Dege, Konstantin M\"uller, Astrid Schmieder, Birgit Lugrin, Samuel Kounev
https://arxiv.org/abs/2506.06104

WoundAIssist: A Patient-Centered Mobile App for AI-Assisted Wound Care With Physicians in the Loop
The rising prevalence of chronic wounds, especially in aging populations, presents a significant healthcare challenge due to prolonged hospitalizations, elevated costs, and reduced patient quality of life. Traditional wound care is resource-intensive, requiring frequent in-person visits that strain both patients and healthcare professionals (HCPs). Therefore, we present WoundAIssist, a patient-centered, AI-driven mobile application designed to support telemedical wound care. WoundAIssist enable…

Trump stokes fear, confusion with pulled emergency abortion guidance (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5337924-abortion-guidance-confusion-doctors/
http://www.memeorandum.com/250607/p44#a250607p44

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
https://arxiv.org/abs/2506.10399

FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks
Graph Convolutional Neural Networks (GCNs) have gained widespread popularity in various fields like personal healthcare and financial systems, due to their remarkable performance. Despite the growing demand for cloud-based GCN services, privacy concerns over sensitive graph data remain significant. Homomorphic Encryption (HE) facilitates Privacy-Preserving Machine Learning (PPML) by allowing computations to be performed on encrypted data. However, HE introduces substantial computational overhea…

If people taking care of our elders get deported, will anyone take their place?
At a time where it seems fewer and fewer of us want to work in long-term care, the need has never been greater
So how will millions of aging Americans be able to afford care for physical and cognitive decline,
especially given Trump’s proposed cuts to Medicaid, which covers about two-thirds of nursing home residents?
And who will take care of those who don’t have family members who can …

Commentary: If people taking care of our elders get deported, will anyone take their place?
How will millions of seniors get healthcare, especially with Trump's policies on immigration and proposed cuts to Medicaid?

Kash Patel claims 'breakthrough' in Fauci COVID origins probe (Elizabeth Crisp/The Hill)
https://thehill.com/policy/healthcare/5337460-fauci-fbi-investigation-breakthrough-patel/
http://www.memeorandum.com/250606/p152#a250606p152

Nearly 100 House Democrats urge RFK Jr. to restore millions in family planning grants (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5337240-lawmakers-robert-f-kennedy-jr-restoration-family-planning-grants/
http://www.memeorandum.com/250606/p107#a250606p107

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Songze Li, Mingxuan Zhang, Oubo Ma, Kang Wei, Shouling Ji
https://arxiv.org/abs/2506.09562

TooBadRL: Trigger Optimization to Boost Effectiveness of Backdoor Attacks on Deep Reinforcement Learning
Deep reinforcement learning (DRL) has achieved remarkable success in a wide range of sequential decision-making domains, including robotics, healthcare, smart grids, and finance. Recent research demonstrates that attackers can efficiently exploit system vulnerabilities during the training phase to execute backdoor attacks, producing malicious actions when specific trigger patterns are present in the state observations. However, most existing backdoor attacks rely primarily on simplistic and heu…

You don’t get to opt out of politics.
Not really.
Because while you’re
“too busy” or “too cool” or “too disillusioned” to vote,
someone else is voting.
And if that someone wants to ban books, force pregnancies, erase history, gut healthcare, or unleash the police state, guess what?

Like It or Not, You’re in It — So Act Like It
🗳️🔥 You can say you don’t care about politics.

Dr. Oz on Medicaid cuts: People should 'prove that they matter' (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5334508-dr-oz-medicaid-cuts-work-requirements/
http://www.memeorandum.com/250605/p71#a250605p71

Top CDC COVID vaccine adviser resigns following RFK Jr. recommendation change (Nathaniel Weixel/The Hill)
https://thehill.com/policy/healthcare/5333478-cdc-covid-vaccine-official-resigns/
http://www.memeorandum.com/250604/p167#a250604p167

FDA commissioner pledges to investigate mifepristone (Alejandra O'Connell-Domenech/The Hill)
https://thehill.com/policy/healthcare/5330774-marty-makary-fda-mifepristone-review/
http://www.memeorandum.com/250603/p108#a250603p108

Kennedy's autism crusade ignores history, including his own family's (Joseph Choi/The Hill)
https://thehill.com/policy/healthcare/5325652-autism-diagnosis-rfk-history-family/
http://www.memeorandum.com/250602/p10#a250602p10

Exclusive: CDC expert resigns from COVID vaccines advisory role, sources say (Reuters)
https://www.reuters.com/business/healthcare-pharmaceuticals/cdc-expert-resigns-covid-vaccines-advisory-role-sources-say-2025-06-03/
http://www.memeorandum.com/250603/p129#a250603p129