AI Medical Compendium

Beyond Residential Ambient Concentrations: Quantifying Exposure Error and Advancing Personal PM2.5 Prediction with a Scalable Modeling Framework.

Environmental science & technology Jan 26, 2026

Accurate assessment of personal PM2.5 exposure is essential but challenging in large-scale epidemiology, as conventional residential ambient data often lead to exposure misclassification. This study aimed to quantify errors in ambient data proxies an... read more

Using machine learning to predict individual differences in psychological reactivities to social interactions.

Journal of personality and social psychology Jan 26, 2026

Individual differences in psychological reactivities (i.e., the degree to which individuals react differently to social interactions) are central to psychological research. Previous theory-based research has identified substantial individual differen... read more

Identifying variation in dinosaur footprints and classifying problematic specimens via unbiased unsupervised machine learning.

Proceedings of the National Academy of Sciences of the United States of America Jan 26, 2026

Machine learning holds great promise for classifying and identifying fossils, and has recently been marshaled to identify trackmakers of dinosaur footprints and address long-standing debates over whether some dinosaur tracks are the oldest birds or o... read more

Augmenting Braden Scores With Predictive Modeling to Reduce Hospital-Acquired Pressure Injuries: A Clinical Pilot Study.

Advances in skin & wound care Jan 26, 2026

OBJECTIVE: To evaluate the efficacy of a machine learning predictive model integrating the Braden Scale with patient demographic and care-related features, in aiding risk identification and guiding targeted interventions aimed at preventing hospital-... read more

Letter to the editor: Deep learning and digital pathology for HCC prediction in steatotic liver disease.

Hepatology (Baltimore, Md.) Jan 26, 2026

Bridging Microscopic Dynamics and Macroscopic Fate: A Molecular Dynamics-Machine Learning Approach for Predicting PFAS Solid-Liquid Distribution in Soils and Sediments.

Environmental science & technology Jan 26, 2026

Per- and polyfluoroalkyl substances (PFAS) are persistent global contaminants, posing challenges to predicting their environmental fate. The solid-liquid distribution coefficient (logKd) is a key parameter for PFAS mobility, but current machine learn... read more

Machine Learning forecasting of dengue in São Paulo using virtual data augmentation and urban incident predictors: Addressing the exceptional surge of cases in 2024.

Acta tropica Jan 26, 2026

Dengue remains one of the most critical vector-borne diseases globally, with Brazil consistently reporting the highest incidence in the Americas. The 2024 epidemic was the largest in the country's history, with São Paulo as its epicenter. This study ... read more

Lymphocyte-based inflammatory biomarkers during the postpartum period and postpartum depression symptoms in U.S. women.

Brain, behavior, and immunity Jan 26, 2026

BACKGROUND: Postpartum depression (PPD) has multiple cascading negative effects on maternal and infant health. Inflammation is a potential factor for the development of PPD. However, lymphocyte-based inflammatory biomarkers, including platelet-to-lym... read more

Development and validation of a machine learning model for frailty screening using claims data in Japan: the Longevity Improvement & Fair Evidence Study.

Experimental gerontology Jan 26, 2026

BACKGROUND: Frailty is an ageing-associated multidimensional condition linked to higher long-term care (LTC) needs, healthcare expenditures, and mortality. In Japan, the Questionnaire for Medical Checkup of Old-Old (QMCOO) is used to assess frailty, ... read more

Fast cardiac magnetic resonance (CMR) protocol for biventricular functional assessment and tissue characterisation.

International journal of cardiology Jan 26, 2026

BACKGROUND: Clinical use of cardiovascular magnetic resonance (CMR), reference tool for cardiac function and myocardial tissue assessment, is frequently limited by long acquisition times. This study aimed to compare conventional "standard protocol" (... read more

Artificial Intelligence Medical Compendium