Latest AI in Medicine Research | AI Medical Compendium

Predicting postpartum glucose intolerance in women with gestational diabetes mellitus in primary care: A machine learning approach using XGBoost and SHAP values.

Diabetes research and clinical practice Jan 12, 2026

OBJECTIVE(S): To develop and internally validate an interpretable machine learning model using eXtreme Gradient Boosting (XGBoost) and Shapley Additive exPlanations (SHAP) to predict postpartum glucose intolerance among women with GDM using routine a... read more

FG-DDI: Functional group-aware graph neural networks for drug-drug interaction prediction.

Journal of biomedical informatics Jan 12, 2026

OBJECTIVE: We aim to improve Drug-Drug Interactions (DDIs) by explicitly injecting medicinal-chemistry knowledge of functional groups (FGs) into graph neural network (GNN) message passing, in both transductive and inductive settings. Our goal is to (... read more

Is artificial intelligence a friend or foe to epidemiology?

Annals of epidemiology Jan 12, 2026

Epidemiology has long been central to public health, guiding our understanding of the distribution and determinants of disease. As the field has evolved-from John Snow's cholera investigations to large-scale cohort studies and causal inference framew... read more

Exploring the molecular intersections of osteoporosis and sarcopenia: An integrated bioinformatics and experimental validation.

Experimental gerontology Jan 12, 2026

BACKGROUND: Osteoporosis and sarcopenia are age-related degenerative diseases that frequently co-occur in the older adults, yet their shared molecular mechanisms remain poorly understood. This study aimed to identify common biomarkers. METHODS: By ut... read more

Marine polysaccharide-based edible film as degradable alternative to plastic packaging: Preparations, applications and recent advances.

Bioresource technology Jan 12, 2026

The increasing demand for sustainable food packaging solutions has spurred significant interest in edible films. Marine polysaccharides, as a main source of bioplastics, present a promising alternative to traditional plastic packaging due to their bi... read more

Development of a digital twin framework for biomass pyrolysis: Leveraging machine learning for enhanced fuel flexibility.

Bioresource technology Jan 12, 2026

There is an increasing need for fuel flexibility in the conversion of biomass through thermochemical processes such as pyrolysis. Achieving fuel flexibility only through an experimental approach is both expensive and time consuming. Therefore, a numb... read more

Comment on: ``Development and Evaluation of an Artificial Intelligence Model to Set Target IOP for Glaucoma''.

American journal of ophthalmology Jan 12, 2026

Comparative performance of large language models on cardiovascular certification simulation exam.

American heart journal Jan 12, 2026

Artificial intelligence (AI) is becoming increasingly prevalent in medical practice and has demonstrated sufficient clinical acumen to pass several licensing examinations. We tested the ability of 3 popular large-language models, ChatGPT-4.0 (OpenAI)... read more

Cascade machine learning reveals the regulatory mechanism of dissolved organic matter on nanoparticles aggregation behavior.

Water research Jan 12, 2026

The aggregation of nanoparticles (NPs) in aquatic environments is influenced by multiple environmental conditions, with dissolved organic matter (DOM) exerting complex regulatory effects on NPs aggregation. However, traditional models often struggle ... read more

CTSB-positive tumor-associated macrophages shape prognosis and therapeutic response in lung adenocarcinoma.

Translational oncology Jan 12, 2026

BACKGROUND: Lung adenocarcinoma (LUAD) remains a major clinical challenge in assessment of clinical outcomes and therapeutic response. Although tumor-associated macrophages (TAMs) are known as crucial regulators of tumor progression, their heterogene... read more

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