AI Medical Compendium

WeMol: A Cloud-Based and Zero-Code Platform for AI-Driven Molecular Design and Simulation.

Journal of chemical information and modeling Feb 10, 2026

Artificial intelligence (AI) has demonstrated remarkable potential in reshaping modern drug discovery, yet its widespread adoption is hindered by fragmented tools, high technical barriers, and the lack of user-friendly interfaces. Here, we present We... read more

Challenges and Opportunities of Using Functional Materials To Inspire Anaerobic Biotechnology.

Environmental science & technology Feb 10, 2026

The incorporation of functional materials into anaerobic biological systems offers promising opportunities for sustainable and efficient wastewater treatment. However, there is a discrepancy between the explosive growth of emerging materials and thei... read more

Rapid Design and Fabrication of Body Conformable Surfaces with Kirigami Cutting and Machine Learning.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 10, 2026

By integrating the principles of kirigami cutting and data-driven modeling, this study aims to develop a personalized, rapid, and low-cost design and fabrication pipeline for creating body-conformable surfaces around the knee joint. The process begin... read more

Transforming Grain-Boundary Brittle Precipitates to Ductility Pathways in Complex Concentrated Alloy.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Feb 10, 2026

Conventional wisdom holds that hard grain-boundary (GB) precipitates embrittle structural alloys by acting as crack initiation sites. In this work, we overturn this paradigm through atomic-scale interfacial engineering, transforming brittle GB phases... read more

Objective assessment of surgical skill using artificial intelligence hand tracking in cardiothoracic training: A feasibility study.

Interdisciplinary cardiovascular and thoracic surgery Feb 10, 2026

OBJECTIVES: Measuring surgical competency is essential for surgical residents to ensure patient safety. Traditional assessment tools, rely on subjective evaluation. This study evaluated whether Artificial Intelligence (AI)-based hand tracking can mor... read more

Artificial intelligence and diagnosis and management of tuberculosis disease in children.

Current opinion in pediatrics Feb 10, 2026

PURPOSE OF REVIEW: The literature review is pertinent because diagnosing pediatric tuberculosis (PdTB) remains quite challenging, especially in areas with limited resources, due to complications caused by variable generalized symptoms, paucibacillary... read more

Unveiling hidden variables in stressed bacteria.

Cell reports Feb 10, 2026

Phenotypic heterogeneity is a defining feature of bacterial stress responses, long framed as irreducible noise arising from stochastic molecular events. This review builds on that view, advancing the idea that much of the apparent randomness instead ... read more

Comparison of ChatGPT-4 and ChatGPT-4 Plus Responses to Retinopathy of Prematurity-Related Questions and Performance Evaluation in Different Languages.

Journal of pediatric ophthalmology and strabismus Feb 10, 2026

PURPOSE: To compare the accuracy and performance of the ChatGPT-4 and ChatGPT-4 Plus (OpenAI) models in different languages in terms of questions about retinopathy of prematurity (ROP). METHODS: Within the scope of the study, 15 questions about ROP w... read more

Unraveling the matrix stiffness landscape in idiopathic pulmonary fibrosis: GSN and ARG1 as novel diagnostic biomarkers and potential therapeutic targets.

International immunopharmacology Feb 10, 2026

BACKGROUND: Idiopathic Pulmonary Fibrosis (IPF) is a progressive and fatal interstitial lung disease characterized by excessive extracellular matrix (ECM) deposition and tissue stiffening. Matrix stiffness is a key driver of fibrosis, yet diagnostic ... read more

Identification of high-risk genes and classification of acute myocardial infarction patients utilizing deep learning in a restricted cohort.

Computers in biology and medicine Feb 10, 2026

BACKGROUND AND MOTIVATION: Classifying diseases like heart problems using gene expression data depends on selecting important genes. Traditional machine learning (ML) often uses simple feature selection (FS) techniques, which can limit accuracy. In o... read more

Artificial Intelligence Medical Compendium