AI Medical Compendium

Mechanisms, precision therapies, and technological frontiers in coronary atherosclerosis: a comprehensive review.

Acta pharmacologica Sinica Jan 27, 2026

Coronary atherosclerosis is a leading cause of morbidity and mortality worldwide and is characterized by complex molecular and cellular mechanisms involving lipid dysregulation, endothelial dysfunction, immune-inflammatory processes, and vascular rem... read more

AI and experimental convergence: a synergistic pathway to JAK2 inhibitor discovery.

Acta pharmacologica Sinica Jan 27, 2026

Janus kinase 2 (JAK2) is an important therapeutic target for various inflammatory diseases, cancers, and rheumatoid arthritis. Therefore, inhibiting JAK2 has become a promising approach for treating these conditions. In this study, molecular descript... read more

Identifying clinical correlates of drinking clusters during treatment for alcohol use disorder.

The American journal on addictions Jan 27, 2026

BACKGROUND AND OBJECTIVES: Despite the availability of treatments for alcohol use disorder (AUD), relapse prevalence and health-related consequences associated with AUD remains high. Using data-driven approaches that enhance generalizability can help... read more

Comment on "Artificial Intelligence Technologies Supporting Nurses' Clinical Decision-Making: A Systematic Review".

Journal of clinical nursing Jan 27, 2026

Multi-Model Fusion for 28-Day Mortality Prediction in ICU Patients: A Comprehensive Retrospective Cohort Study with Subgroup Validation and Clinical Risk Stratification.

Shock (Augusta, Ga.) Jan 27, 2026

BACKGROUND: Accurate prediction of 28-day mortality in intensive care unit (ICU) patients represents a critical challenge in modern critical care medicine, with profound implications for clinical decision-making, resource optimization, and patient-ce... read more

Distilling structural knowledge from CNNs to vision transformers for data-efficient visual recognition.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026

Knowledge distillation (KD) is an effective strategy to transfer learned representations from a pre-trained teacher model to a smaller student model. Current methods for knowledge transfer from convolutional neural networks (CNNs) to vision transform... read more

Interdisciplinary expertise to advance human-centered explainable AI.

Social science & medicine (1982) Jan 27, 2026

The field of artificial intelligence (AI) is rapidly influencing health and healthcare, but bias and inadequate subgroup performance persists. Previous work has clearly outlined the need for more rigorous attention to data representativeness and mode... read more

PBPK Modeling Addresses Oral Absorption-Mediated Drug Interactions.

Drug metabolism and pharmacokinetics Jan 27, 2026

Absorption is the first and imperative step to understanding the pharmacokinetics (PK) and ADME (absorption, distribution, metabolism, and excretion) of a drug product. Drug interactions also occur during the absorption process and have the potential... read more

A cortico-cerebellar neural model for task control under incomplete instructions.

Neural networks : the official journal of the International Neural Network Society Jan 27, 2026

Cerebellar-inspired motor control systems have been widely explored in robotics to achieve biologically plausible movement generation. However, most existing models rely heavily on high-dimensional instruction inputs during training, diverging from t... read more

deepNoC: A deep learning system to assign the number of contributors to a short tandem repeat DNA profile.

Forensic science international. Genetics Jan 27, 2026

A common task in forensic biology is to interpret and evaluate short tandem repeat DNA profiles. The first step in these interpretations is to assign a number of contributors to the profiles, a task that is most often performed manually by a scientis... read more

Artificial Intelligence Medical Compendium