AI Medical Compendium

Multimodal neurocognitive assessment of internet gaming disorder using ERP and fNIRS during an oddball paradigm: A machine learning-based classification.

Behavioural brain research Mar 28, 2026

Excessive internet gaming has been associated with social, cognitive, and behavioral impairments; however, the neural mechanisms underlying Internet Gaming Disorder (IGD) remain insufficiently explored. This study examined neurophysiological differen... read more

Isoginkgetin protects against degeneration of ALS motor neurons via regulating the GSK-3β-TFEB signaling axis.

Pharmacological research Mar 28, 2026

Lysosomal dysfunction is a core pathological driver of neurodegenerative diseases such as amyotrophic lateral sclerosis (ALS). Transcription factor EB (TFEB) serves as a master regulator of lysosomal biogenesis, and its pharmacological activation rep... read more

Machine learning-based prediction of postoperative delirium from intraoperative EEG signal alterations in brain functional connectivity.

Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology Mar 28, 2026

OBJECTIVES: Postoperative delirium (POD) is a frequent complication following cardiovascular surgery and requires timely intervention. While early risk prediction holds clinical value, practical tools remain limited. This study aims to identify EEG-b... read more

Large Language Models as Physician Recommenders: Limitations, Alternatives, and the Path Toward Hybrid AI Systems.

Joint Commission journal on quality and patient safety Mar 28, 2026

Digital tools are increasingly used by patients to access health information and navigate care, including choosing clinicians, but the evidence supporting "best doctor" recommendations varies widely across available methods. This manuscript compares ... read more

Artificial intelligence-enabled flexible surface-enhanced Raman scattering substrate based on silver nanoparticles/polypyrrole/chitosan film for sensitive uric acid detection in saliva, serum and urine.

Carbohydrate polymers Mar 28, 2026

Selective detection of uric acid (UA), a key biomarker associated with cardiovascular diseases, gout and preeclampsia, is important for preventive healthcare and accurate diagnosis. Conventional analytical methods often suffer from low sensitivity, r... read more

Dataset for orange fruit detection from UAV in citrus orchards.

Data in brief Mar 28, 2026

Accurate fruit detection in citrus orchards is essential for yield estimation, precision harvesting, and automated orchard monitoring. Although UAV-based imaging has become a powerful tool in precision agriculture, publicly available datasets for ora... read more

Hypothesis Generation via Interpretable Machine Learning: A Case Study on Risk Factors for Postradiation Therapy Lung Cancer Recurrence.

Advances in radiation oncology Mar 28, 2026

PURPOSE: Interpretability is highly desirable for oncologic outcome prediction, as it increases the level of transparency and trustworthiness of the model. This model characteristic is particularly relevant in the setting of modest sample size. Exist... read more

Analysis and sampling of molecular simulations with adversarial autoencoders.

The Journal of chemical physics Mar 28, 2026

The design of good collective variables for analysis and the enhancement of sampling of molecular simulations is not a trivial task. It often relies on the knowledge of the system and the experience of the scientist. Machine learning and artificial n... read more

Toward Automatic Derivation of Geometry-Based Descriptors as Surrogates for Complex Computational Approaches in Enzyme-Substrate Prediction.

Chemphyschem : a European journal of chemical physics and physical chemistry Mar 27, 2026

Accurate prediction of enzyme-substrate (ES) interactions remains a fundamental challenge in biocatalysis and drug discovery. While machine learning (ML) approaches have shown promise, they require extensive training data and often lack mechanistic i... read more

Strategic Key Performance Indicators for AI in Lead Optimization.

ChemMedChem Mar 27, 2026

With increasing cost and failure rates in the pharmaceutical R&D process not fundamentally improving over the last decade, pressure remains high to increase the probability of success to improve the effectiveness of pharmaceutical R&D. The broad intr... read more

Artificial Intelligence Medical Compendium