AI Medical Compendium

Optoelectronic Nanofluidic Neural Networks for Ionic Computing.

Advanced materials (Deerfield Beach, Fla.) Jul 16, 2026

Emerging neuromorphic computing technologies aim to replicate the brain's cognitive processes and offer promising capabilities for advanced computation and complex tasks. Building artificial neural networks (ANNs) with robust connections and dynamic ... read more

Advances and Challenges in Wearable Sensors for Health Monitoring.

ACS applied materials & interfaces Jul 16, 2026

Analytical tools may revolutionize healthcare by enabling accessible, rapid, and decentralized testing. Wearable (bio)sensors, in particular, provide frequent or continuous patient monitoring through non- to minimally invasive measurements. This appr... read more

Improving Surgical Scheduling Efficiency with Operating Room Coordination and Allocation at Centre Antoine Lacassagne: A Comparative Analysis of Patient Outcomes and Operational Metrics.

Journal of the American College of Surgeons Jul 16, 2026

BACKGROUND: Operating room (OR) scheduling is critical for timely patient care, optimal resource usage, and equitable surgical access. Despite the cost and complexity of ORs, few tools address patient scheduling comprehensively. This study evaluates ... read more

Automated deep learning-based arousal detection complies with ten expert scorers in unseen data.

Sleep Jul 16, 2026

STUDY OBJECTIVES: Automatic arousal scoring is essential for the cost-effective analysis of polysomnograms. Many previous automatic methods have been tested in homogeneous, single-center datasets, and all against one scorer, on event-by-event basis, ... read more

Unlocking the Chemical Space for Rechargeable Batteries with a Generative Solvent Design System.

ACS nano Jul 16, 2026

Electrolyte discovery for rechargeable batteries today relies on heuristic trial-and-error or high-throughput screening of existing molecules. Here, we introduce a Generative Solvent Design System (GSDS) that integrates a graph-based deep molecular g... read more

Δ-Machine learning for coupled potential energy surfaces: application to the three-state coupled Cl2O+ and four-state coupled ArNO+ systems.

Physical chemistry chemical physics : PCCP Jul 16, 2026

The Δ-Machine learning (Δ-ML) approach has emerged as a powerful tool for constructing molecular diabatic potential energy matrices (DPEMs), which are essential for nonadiabatic dynamics simulations. However, successful cases are merely limited to th... read more

Leptospira-host interactions: advancing next-generation vaccines and diagnostics.

Clinical microbiology reviews Jul 16, 2026

SUMMARYLeptospirosis, a widespread zoonotic disease caused by pathogenic Leptospira species, remains a major public health challenge, particularly in tropical and subtropical regions. Despite advances in understanding Leptospira biology and pathogene... read more

From sites to structure to serology: a roadmap for structure-aware molecular evolution of antigenically evolving viruses.

Journal of virology Jul 16, 2026

The genomic deluge has pushed viral molecular evolution into a site-resolved era. For antigenically evolving viruses such as influenza and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), dense genomic sampling now supports mutation-anno... read more

Hybrid ML/MM Simulations for Computational Enzymology: Recent Advances and Challenges.

The journal of physical chemistry letters Jul 16, 2026

The integration of QM/MM methods with molecular dynamics (MD) simulations has become a powerful tool for elucidating enzymatic reaction mechanisms at atomistic resolution, providing valuable insights for biocatalyst design and drug development. Howev... read more

Diagnostic performance of deep-learning algorithms in radiographic grading of knee osteoarthritis: a systematic review and meta-analysis.

Acta radiologica (Stockholm, Sweden : 1987) Jul 16, 2026

BackgroundDeep learning (DL) has been increasingly applied to grade knee osteoarthritis (KOA) on radiographs, but reported diagnostic performance varies across Kellgren-Lawrence (K-L) grades.PurposeTo systematically evaluate the diagnostic performanc... read more

Artificial Intelligence Medical Compendium