AI Medical Compendium

De novo design of GPCR exoframe modulators.

Nature Feb 16, 2026

G-protein-coupled receptors (GPCRs) are important therapeutic targets and have been targeted mainly through their orthosteric site, where the endogenous agonist binds1. However, allosteric modulation has emerged as a promising and innovative strategy... read more

Self-powered in-stent restenosis diagnosis via magnetoelastic stents.

Nature cardiovascular research Feb 16, 2026

Widely used in millions of atherosclerosis treatments, conventional metal stents, although pervasive, only provide mechanical support to narrowed arteries. However, many patients experience in-stent restenosis after implantation. Here we developed sm... read more

Predicting camouflage treatment outcomes in skeletal class III malocclusion using machine learning.

Scientific reports Feb 16, 2026

This study focused on developing a machine learning (ML) model to forecast the success of camouflage orthodontic treatment in individuals with skeletal Class III malocclusion and to identify significant predictors to aid treatment planning. A total o... read more

Computation and deep-learning-driven advances in CRISPR genome editing.

Nature structural & molecular biology Feb 16, 2026

Genome editing with CRISPR-Cas systems is revolutionizing medicine, molecular biology and biotechnology. In this Review, we discuss the contributions of deep learning-based structure prediction algorithms, physics-based simulations, neural networks, ... read more

Graph neural networks for computational nephrology.

Nature reviews. Nephrology Feb 16, 2026

Why artificial intelligence detectors could penalize academic writing.

Nature human behaviour Feb 16, 2026

Predicting soil cadmium spatial distribution with HDXRF coupling to multi-model machine learning in the karst area.

Environmental monitoring and assessment Feb 16, 2026

Mapping soil potentially toxic metal spatial distribution is critical for safe and sustainable use and management of the contaminating soil. However, it is challenged by high soil heterogeneity and non-linear and complex driving factors in the karst ... read more

A physics-informed neural network approach for estimating population-level pharmacokinetic parameters from aggregated concentration data.

Journal of pharmacokinetics and pharmacodynamics Feb 16, 2026

The pharmacokinetic literature is rich in aggregated concentration data that contain valuable information, yet tools to extract this information remain limited. This work introduces distributional physics-informed neural networks (D-PINNs), a novel a... read more

Deep Learning-Based Automated Diagnostic Charting on Panoramic Radiography: Comparison of YOLOv11 and YOLOv12.

Odontology Feb 16, 2026

Automated diagnostic charting on panoramic radiographs is essential for optimizing clinical workflows and reducing diagnostic variability. This study aims to perform a comparative performance analysis of two next-generation deep learning architecture... read more

Bridging technical innovation and computational advances in studies of RNA-protein assemblies.

Nature reviews. Genetics Feb 16, 2026

RNA-dependent protein assemblies - including the spliceosome, ribosome and RNA-dependent membraneless organelles - have crucial roles in diverse cellular processes through RNA scaffolding and hierarchical assembly. Various empirical techniques and ar... read more

Artificial Intelligence Medical Compendium