AI Medical Compendium

Data-driven optimal design of foam-padded vests for female protection against air blast.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Mar 25, 2026

Blast-induced thoracic injuries pose a significant threat to military personnel, particularly during training and combat operations involving high-explosive weapons. While conventional body armor is primarily designed for ballistic protection, it is ... read more

Machine-Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles.

Advanced science (Weinheim, Baden-Wurttemberg, Germany) Mar 25, 2026

Personality neuroscience has traditionally relied on the Big Five model to investigate trait structure and its relationship to individual differences in brain organization and life outcomes. However, existing theoretical frameworks explain only part ... read more

A quantitatively constrained framework for defect identification in oxides: application to Cr3+ centers in PbTiO3.

Physical chemistry chemical physics : PCCP Mar 25, 2026

Identifying paramagnetic defect centers in ferroelectric oxides is challenging due to the large configurational space of dopants and the strong sensitivity of spectroscopic signatures to local structure. In this work, we present a unified framework f... read more

Engineering product selectivity in photocatalytic CO2 reduction: fundamentals, mechanisms, and catalyst design.

Chemical communications (Cambridge, England) Mar 25, 2026

The selective conversion of carbon dioxide (CO2) into value-added products using solar energy represents a promising strategy for addressing climate change and advancing carbon-neutral energy systems. However, the inherent complexity of photocatalyti... read more

Evaluating Three Large Language Models in Ophthalmology Education: A Comparative Study of Accuracy and Readability Across 442 Questions.

Ophthalmic epidemiology Mar 25, 2026

PURPOSE: To compare the accuracy and readability of ChatGPT-4.0 Mini, Gemini 1.5 Flash and Microsoft Copilot generated responses to fifth year medical school ophthalmology exam questions. METHODS: A total of 442 multiple-choice questions were submitt... read more

Hybrid AI/ML-mechanistic framework enables intelligent optimization of commercial biopharmaceutical downstream processing.

mAbs Mar 25, 2026

Biopharmaceutical manufacturing requires continuous improvement to ensure robust, efficient, and high-quality processes, yet traditional experimental designs remain resource-demanding and insufficient to capture interactions of multiple parameters. H... read more

Wearable devices and cardiovascular health: revolutionizing remote monitoring and disease prevention.

European heart journal Mar 25, 2026

Wearable devices are transforming cardiovascular medicine by enabling continuous monitoring of physiologic and behavioural measures outside of traditional clinical settings. Smartwatches and activity trackers, the most widely used wearables, employ m... read more

Nonlinear dynamical analysis of chaos, fractal complexity, and entropy in EEG signals during music therapy in ICU burn patients.

Biomedical physics & engineering express Mar 25, 2026

Music therapy (MT) is known to influence brain dynamics; however, its effects on nonlinear electroencephalogram (EEG) characteristics in clinical settings remain underexplored. This study investigated how MT modulates neural complexity and frequency-... read more

DeepMIF: A Multiview Interactive Fusion-Based Deep Learning Method for RNA-Small Molecule Binding Affinity Prediction.

Journal of chemical information and modeling Mar 25, 2026

Accurately predicting the binding affinity between ribonucleic acid (RNA) and small molecules (RSMA) is crucial for RNA-targeted drug discovery, yet existing computational methods face challenges in fully leveraging multisource feature information an... read more

Predicting the Risk of Decompensation in Patients with Cirrhosis - a Validated Machine Learning Approach.

The American journal of gastroenterology Mar 25, 2026

INTRODUCTION: There is an unmet need for simple tools to predict development of hepatic decompensation among patients with compensated cirrhosis. We applied machine learning to several international datasets to develop and validate a straightforward ... read more

Artificial Intelligence Medical Compendium