Pulmonology

Robust Sleep Behavior Monitoring Under Motion Artefacts via Motion-Conditioned Learning.

Motion artefacts remain a major barrier to reliable wearable sleep behavior analysis in real-world environments. Although recent advances in flexible and textile-based sensing technologies have enabled unobtrusive monitoring of respiratory and upper-airway activities during sleep, their performance often degrades substantially under unconstrained body movement conditions. Here, we present a motion...

Post COVID-19 condition diagnosis among older people: findings from Swedish national register data.

INTRODUCTION: Post COVID-19 condition (PCC) denotes the persistence of symptoms following Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection. PCC poses a large disease burden worldwide. We aimed to explore the epidemiological characteristics of clinically diagnosed PCC among older people aged ≥65 years in Sweden and to establish a machine learning tool to predict PCC risk. METH...

COVLIAS 3.5: integration of attention-based segmentation technique with fuzzy dilated convolutional neural networks for improved classification of chest X-ray scans for multiclass pneumonia diagnosis.

This study aims to improve pneumonia diagnosis by integrating attention-based U-Net models for lung segmentation with fuzzy logic-enhanced CNNs for cl...

Artificial intelligence risk prediction model for common respiratory pathogens in China based on heterogeneous multi-source clinical and geographic data: A modeling study.

Most respiratory pathogens exhibit distinct seasonal and periodic outbreak patterns driven by climatic factors. However, predictive models that jointl...

Diagnostic potential of B-cell translocation gene 2 in IgA nephropathy: Insights from molecular mechanisms.

IgA nephropathy (IgAN) is a prevalent glomerular disease characterized by IgA deposition, chronic inflammation, and fibrosis, leading to end-stage ren...

Primary Graft Dysfunction After Lung Transplantation: A Temporal Classification and Machine Learning Clustering.

BACKGROUND: Primary graft dysfunction (PGD) is a major cause of morbidity and mortality after lung transplantation (LTx). PGD is graded at static time...

Development of a Screening Model for Exercise-Induced Desaturation by Machine Learning Method.

BACKGROUND: Exercise-induced desaturation (EID) during the 6-minute walk test (6MWT) is an established marker of adverse outcomes in patients with chr...

Attribution of PM2.5-Induced Transcriptomic Perturbation to Toxic Components.

Ambient fine particulate matter (PM2.5) is a chemically complex mixture whose health impacts are not fully captured by particle mass. Here, we develop...

Machine Learning-Guided Surface Strain Engineering in Connected Platinum-Nickel Nanoparticle Catalysts for Advanced Oxygen Reduction Performance.

Engineering the surface structure of catalysts is critical for achieving high intrinsic activity in the oxygen reduction reaction (ORR). We report a m...

[Endometriosis pain research in Germany : ENDO-PAIN and StEPP-UPP-two new research consortia on endometriosis pain].

Endometriosis is one of the most common causes of chronic pelvic or lower-abdominal pain, yet mechanisms, predictors, and patient-centered treatment p...

Revealing the Atomic Scale Mechanism Behind Multi-Dopant Dispersion Driving Enhanced Oxygen-Ion Conduction in Nb-Ta Co-Doped BaCoO3 Perovskite.

Ion conduction in perovskites plays a crucial role in the performance of energy storage and conversion devices. While multielement doping is a well-es...

High Sensitivity and Wide Detection Range MXene/PDMS Flexible Piezoresistive Sensor with Microdome Array for Cervical Posture Recognition.

Flexible pressure sensors that simultaneously deliver high sensitivity and a broad detection range are highly desirable for wearable electronics but r...

A 3-Tier AI Model for COVID-19 Triage Using Pharyngeal Images: Algorithm Development and Validation.

BACKGROUND: SARS-CoV-2 remains a common cause of acute respiratory illness; however, symptom-based triage poorly discriminates it from other febrile c...

Linear screening and machine learning to identify suitable candidates for active breathing control after mastectomy in left-sided breast cancer.

PURPOSE: To evaluate the dosimetric benefit of deep inspiration breath-hold (DIBH) using the Active Breathing Coordinator (ABC) for left-sided breast ...

Machine Learning Prediction of Liver Fibrosis in Patients with Metabolic Dysfunction Associated Steatotic Liver Disease (MASLD).

BACKGROUND: Accurate staging of liver fibrosis is crucial for risk stratification in patients with metabolic dysfunction-associated steatotic liver di...

Cardiopulmonary point-of-care ultrasound for critical care.

Point-of-care ultrasound (POCUS) has emerged as an essential bedside tool for the rapid assessment and management of critically ill patients. This rev...

A novel fever prevalence indicator for early warning of acute respiratory infections using wastewater-based epidemiology and machine learning.

The rapid spread of acute respiratory infections (ARIs) poses a major challenge to global public health, yet current surveillance systems relying on s...

Deep learning for multimodal physiological signal based assessment of sleep disordered breathing.

Sleep disordered breathing (SDB) is commonly assessed using polysomnography (PSG), which records multiple physiological signals during sleep. Accurate...

Domain-independent PPG signal quality assessment framework via representation learning.

Photoplethysmography (PPG) is a widely used non-invasive sensing technique for monitoring cardiovascular and respiratory parameters, however, its meas...

Reinforcement learning-driven imbalanced classification enhanced by a GAN model augmentation for lung cancer detection.

Lung cancer has been one of the largest causes of cancer related deaths globally with approximately five million deaths annually related to the condit...