Tootfinder

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification
Peidong Wei Shiyu Miao Lin Li
https://arxiv.org/abs/2506.10698 https://

Disentangling Dual-Encoder Masked Autoencoder for Respiratory Sound Classification
Deep neural networks have been applied to audio spectrograms for respiratory sound classification, but it remains challenging to achieve satisfactory performance due to the scarcity of available data. Moreover, domain mismatch may be introduced into the trained models as a result of the respiratory sound samples being collected from various electronic stethoscopes, patient demographics, and recording environments. To tackle this issue, we proposed a modified MaskedAutoencoder(MAE) model, named …

Data-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
Ana Carmen Navas-Ortega, Jos\'e Antonio S\'anchez-Mart\'inez, Paula Garc\'ia-Flores, Concepci\'on Morales-Garc\'ia, Rene Fabregas
https://arxiv.org/abs/2506.09751

Data-Driven Modeling of IRCU Patient Flow in the COVID-19 Pandemic
Intermediate Respiratory Care Units (IRCUs) are vital during crises like COVID-19. This study evaluated clinical outcomes and operational dynamics of a new Spanish IRCU with specialized staffing. A prospective cohort study (April-August 2021) included 249 adult patients with COVID-19 respiratory failure (UHVN IRCU, Granada). Data on demographics, Non-Invasive Ventilation (NIV), length of stay (LOS), and outcomes (ICU transfer, exitus, recovery) were analyzed. Patient flow was simulated using a …

Won’t someone think of the jackbooted thugs?
“…ICE officers themselves…facing inhumane conditions…showing symptoms of respiratory infections…can’t get proper testing for diagnoses…at risk of rocket attacks from Yemeni terrorists…lack body armor or other protective gear. …Trump…said…judge was ‘literally putting ICE agents’ lives in danger.’
…not quite true…judge never said they had to stay there…officials are ‘manufacturing the…chaos they decry.’”

ICE details dangerous working conditions in Djibouti. But they don’t have to be there.
Immigration and Customs Enforcement officers are laboring under dangerous conditions while maintaining custody over migrants they’re holding at a military base in Djibouti, according to a declaration from an ICE official Thursday.

This https://arxiv.org/abs/2311.16593 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_ees…

Empowering COVID-19 Detection: Optimizing Performance Through Fine-Tuned EfficientNet Deep Learning Architecture
The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagious respiratory disease requiring early and accurate detection to curb its rapid transmission. Initial testing methods primarily revolved around identifying the genetic composition of the coronavirus, exhibiting a relatively low detection rate and requiring a time-intensive procedure. To address this challenge, experts have suggested using radiolo…

Good article summarizing a lot of things relevant to continued COVID'19 caution:
https://www.cbc.ca/radio/quirks/beyond-long-covid-1.7485888
Key points:
COVID'19 weakens the immune system:
"""
So it's not just about infecting you and causing respiratory illness and fever and all of the things that we usually get with the viral infection. This virus also specifically causes your immune system to become weaker.
"""
It damages blood vessels:
"""
In addition to SARS-CoV-2's ability to dysregulate the immune system and suppress the immune system, the spike protein itself is very damaging to blood vessel structures as well as red blood cells and platelets themselves.
"""
The folk idea that infections make our immune system stronger and stronger like a muscle just isn't true (or at least, doesn't apply to COVID'19 because of how, unlike most other viruses, it damages the immune system):
"""
For the longest time in the field of immunology, there was the sort of adage that your immune system needs to be tested every now and again to stay strong. That's an old-fashioned idea.
The more new-fashioned and evidence-based idea is that, although your immune system can take on [a COVID] infection, you want to avoid testing it as much as possible because your body is sustaining damage with each infection that it survives.
"""

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/2505.01199 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csLG_…

CaReAQA: A Cardiac and Respiratory Audio Question Answering Model for Open-Ended Diagnostic Reasoning
Medical audio signals, such as heart and lung sounds, play a crucial role in clinical diagnosis. However, analyzing these signals remains challenging: traditional methods rely on handcrafted features or supervised deep learning models that demand extensive labeled datasets, limiting their scalability and applicability. To address these issues, we propose CaReAQA, an audio-language model that integrates a foundation audio model with the reasoning capabilities of large language models, enabling c…

Characterization of atomization and delivery efficiency of exogenous surfactant in preterm infant lungs using an ex vivo respiratory model
Ghalia Kaouane, Jean-Fran\c{c}ois Berret, Yannick Cremillieux, No\"el Pinaud, Fanny Munsch, Bei Zhang, Michael Fayon, R\'emy G\'erard, Eric Dumas De La Roque, Sophie Perinel-Ragey, Lara Leclerc, J\'er\'emie Pourchez
…

Characterization of atomization and delivery efficiency of exogenous surfactant in preterm infant lungs using an ex vivo respiratory model
Administration of pulmonary surfactant is crucial for the treatment of respiratory distress syndrome (RDS) in preterm infants. The aim of this study is to evaluate the potential of Curosurf atomization via the Endosurf device, a recently developed spray technology, as a promising approach for surfactant delivery in infants with RDS. A comprehensive analysis was performed to evaluate the physicochemical properties of atomized Curosurf, including its surface tension and rheology. The size distrib…

Got my first IgE inhibitor shot this afternoon.
It has only been an hour and a half, no side major effects, good nor bad. Just one large non-itchy hive, and a lump on the side of my arm where it got the shot. Needles don't usually bug me, but seeing the spring loader on it after was, interesting, to say the least.
Hoping for some relief or reduction in allergies, asthma, and upper respiratory distress I've been having with

#Feinstaub aus #Waldbrandrauch kann noch bis zu drei Monate nach dem #Feuer ernsthafte #Herz- und

Wildfire smoke can harm heart and lungs even after the fire has ended
First study to fully assess its impact on all major types of cardiovascular, respiratory diseases.

The Dynamic Role of Aerosol and Exudate Transport in the Diffusion of Lung Infection in Respiratory Infectious Diseases (taking SARS-CoV-2 as an example): A Hypothesis Model
Shi Qiru
https://arxiv.org/abs/2505.24057

The Dynamic Role of Aerosol and Exudate Transport in the Diffusion of Lung Infection in Respiratory Infectious Diseases (taking SARS-CoV-2 as an example): A Hypothesis Model
This paper proposes a hypothetical model for the dual role of respiratory aerosols and inflammatory exudates in the dynamics and progression of SARS-CoV-2 lung infection. Starting from a new paradigm in infectious disease transmission, we reflect on the often-overlooked role of physical transmission media within the host individual. The hypothesis posits that tiny aerosols (including those inhaled externally and those self-generated and re-inhaled by the host) play a crucial role in the initial…

This https://arxiv.org/abs/2412.00411 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csHC_…

Seismocardiography for Emotion Recognition: A Study on EmoWear with Insights from DEAP
Emotions have a profound impact on our daily lives, influencing our thoughts, behaviors, and interactions, but also our physiological reactions. Recent advances in wearable technology have facilitated studying emotions through cardio-respiratory signals. Accelerometers offer a non-invasive, convenient, and cost-effective method for capturing heart- and pulmonary-induced vibrations on the chest wall, specifically Seismocardiography (SCG) and Accelerometry-Derived Respiration (ADR). Their afforda…

Adaptive Differential Denoising for Respiratory Sounds Classification
Gaoyang Dong, Zhicheng Zhang, Ping Sun, Minghui Zhang
https://arxiv.org/abs/2506.02505

Adaptive Differential Denoising for Respiratory Sounds Classification
Automated respiratory sound classification faces practical challenges from background noise and insufficient denoising in existing systems. We propose Adaptive Differential Denoising network, that integrates noise suppression and pathological feature preservation via three innovations: 1) Adaptive Frequency Filter with learnable spectral masks and soft shrink to eliminate noise while retaining diagnostic high-frequency components; 2) A Differential Denoise Layer using differential attenti…

HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity
Xuejun Sun, Yiran Song, Xiaochen Zhou, Ruilie Cai, Yu Zhang, Xinyi Li, Rui Peng, Jialiu Xie, Yuanyuan Yan, Muyao Tang, Prem Lakshmanane, Baiming Zou, James S. Hagood, Raymond J. Pickles, Didong Li, Fei Zou, Xiaojing Zheng
https://

HR-VILAGE-3K3M: A Human Respiratory Viral Immunization Longitudinal Gene Expression Dataset for Systems Immunity
Respiratory viral infections pose a global health burden, yet the cellular immune responses driving protection or pathology remain unclear. Natural infection cohorts often lack pre-exposure baseline data and structured temporal sampling. In contrast, inoculation and vaccination trials generate insightful longitudinal transcriptomic data. However, the scattering of these datasets across platforms, along with inconsistent metadata and preprocessing procedure, hinders AI-driven discovery. To addre…

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
Luca Aiello, Raffaele Argiento, Sirio Legramanti, Lucia Paci
https://arxiv.org/abs/2505.24694

Bayesian nonparametric clustering for spatio-temporal data, with an application to air pollution
Air pollution is a major global health hazard, with fine particulate matter (PM10) linked to severe respiratory and cardiovascular diseases. Hence, analyzing and clustering spatio-temporal air quality data is crucial for understanding pollution dynamics and guiding policy interventions. This work provides a review of Bayesian nonparametric clustering methods, with a particular focus on their application to spatio-temporal data, which are ubiquitous in environmental sciences. We first introduce …

Modelling laminar flow in V-shaped filters integrated with catalyst technologies for atmospheric pollutant removal
Samuel D. Tomlinson, Aliki M. Tsopelakou, Tzia M. Onn, Steven R. H. Barrett, Adam M. Boies, Shaun D. Fitzgerald
https://arxiv.org/abs/2506.00603

Modelling laminar flow in V-shaped filters integrated with catalyst technologies for atmospheric pollutant removal
Atmospheric pollution from particulate matter, volatile organic compounds and greenhouse gases is a critical environmental and public health issue, leading to respiratory diseases and climate change. A potential mitigation strategy involves utilising ventilation systems, which process large volumes of indoor and outdoor air and remove particulate pollutants through filtration. However, the integration of catalytic technologies with filters in ventilation systems remains underexplored, despite t…