AI Medical Compendium

Plasma neurotransmitter-related metabolite alterations in adolescent major depressive disorder with and without psychotic features.

Journal of affective disorders Feb 25, 2026

BACKGROUND: Whether adolescent major depressive disorder (MDD) with psychotic features has a distinct peripheral metabolite signature remains uncertain. We compared targeted plasma neurotransmitter-related metabolites in psychotic MDD, non-psychotic ... read more

Machine learning in cardiac arrest: from artificial intelligence, value-based healthcare, to prevention.

Resuscitation Feb 25, 2026

Artificial intelligence model for cardiovascular disease risk prediction in breast cancer patients using electronic health records and computed tomography scans.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Feb 25, 2026

BACKGROUND AND PURPOSE: Cardiovascular disease (CVD) is the leading cause of death globally [1] as well as the leading cause of death among cancer survivors [2]. The outcomes of CVD mortality among cancer patients, particularly those with breast canc... read more

Exploring public information needs on resuscitation: an artificial intelligence-assisted content analysis of questions posted online.

Emergency medicine journal : EMJ Feb 25, 2026

Responsible use of large language models in manuscript authorship, peer review, and editorial processes: a Delphi consensus among editors-in-chief of anaesthesia and pain medicine journals (RULE-AP).

British journal of anaesthesia Feb 25, 2026

This article presents a Delphi consensus developed by a panel of editors-in-chief of anaesthesiology and pain medicine journals to guide the responsible use of large language models (LLMs) in academic publishing. LLMs offer potential benefits for sci... read more

Targeting metabolic vulnerabilities with advanced delivery systems.

Trends in pharmacological sciences Feb 25, 2026

Metabolism modulation has emerged as a promising frontier in precision oncology. Nonetheless, the primary gap is the inability to precisely target the unique metabolic vulnerabilities of different cell types in vivo, which has limited clinical transl... read more

Predicting and optimizing viscosity of dental resin composites with Gaussian process regression and Bayesian optimization.

Dental materials : official publication of the Academy of Dental Materials Feb 25, 2026

OBJECTIVE: To develop a machine learning framework using Gaussian Process Regression (GPR) and Bayesian Optimization (BO) to predict and optimize the viscosity of resin composites at two shear rates (0.0106 and 74.4 s-1). METHODS: Fifty-four experime... read more

Predictive machine learning algorithms for depression and anxiety disorders in six cancer types: a comprehensive multi-center population-based study.

Journal of the Formosan Medical Association = Taiwan yi zhi Feb 25, 2026

OBJECTIVE: Machine learning (ML) has advanced predictive modeling in medical diagnosis and risk assessment through large clinical datasets, yet applications for predicting post-cancer depression and anxiety remain limited. This cross-institutional, l... read more

Precision fragment addition: domain-specific DeepFrag2 models for smarter lead optimization.

Digital discovery Feb 25, 2026

This study introduces a series of machine-learning models based on DeepFrag, our previously published tool designed to guide small-molecule lead optimization through fragment addition. We demonstrate enhanced accuracy by training new DeepFrag models ... read more

HD-MCVN: hybrid-domain multi-contrast variational network for MRI super-resolution.

Physics in medicine and biology Feb 25, 2026

Magnetic resonance imaging (MRI) is essential in medical diagnostics, but its resolution is often limited by factors such as scan time, signal-to-noise ratio, and hardware constraints. With the development of deep learning, multi-contrast super-resol... read more

Artificial Intelligence Medical Compendium