AI Medical Compendium

The expanding role of Artificial intelligence in medical diagnosis: from molecular diagnostics and multi-omics to digital health and medical imaging.

Expert review of molecular diagnostics Jul 16, 2026

INTRODUCTION: The use of Artificial Intelligence (AI), especially Machine learning (ML) and Deep learning (DL), has led to a major shift in medical diagnosis. AI can assist medical professionals in medical diagnosis by its unique ability to analyze c... read more

UNMR-Net: A Unified Deep Reconstruction Network for Multitask Compressed Sensing NMR Spectroscopy.

Analytical chemistry Jul 16, 2026

NMR spectroscopy has become an indispensable tool in chemistry and life sciences, yet its high resolution is generally constrained by the cost of increased acquisition times. Recently, sparse data sampling combined by deep learning (DL) reconstructio... read more

Next-Generation Food Enzymology: From Metagenomic Discovery to AI-Driven Biocatalyst Design.

Journal of agricultural and food chemistry Jul 16, 2026

Food enzymology is entering a new era driven by the convergence of metagenomics, artificial intelligence, and synthetic biology. While traditional food processes rely on a limited repertoire of established biocatalysts, metagenomic and multiomics app... read more

LINKER: Learning Interactions between Functional Groups and Residues with Chemical Knowledge-Enhanced Reasoning and Explainability.

Journal of chemical information and modeling Jul 16, 2026

Accurate identification of interactions between protein residues and ligand functional groups is critical for understanding molecular recognition and guiding rational drug design. Existing deep learning approaches for protein-ligand interpretability ... read more

Locating Undocumented Wells Using Historical Oil and Gas Exploration Maps: A Case Study in Osage County, Oklahoma.

Environmental science & technology Jul 16, 2026

Undocumented oil and gas wells lack reliable information about their locations and characteristics, making them difficult to identify. These wells can result in unanticipated delays and costs in the development of nearby surface and subsurface resour... read more

The Role of Artificial Intelligence and Machine Learning in Predictive Virology: Forecasting, Tracking, and Combating Viral Threats.

Vector borne and zoonotic diseases (Larchmont, N.Y.) Jul 16, 2026

The escalating threat of viral pandemics, dramatically illustrated by the COVID-19 crisis, has exposed the critical shortcomings of conventional reactive virology in addressing rapidly evolving pathogens. This review introduces predictive virology (P... read more

NREP is involved in xenon's protection against ischemic stroke injury through modulating microglial M1 polarization and neuroinflammation.

Metabolic brain disease Jul 16, 2026

BACKGROUND: Ischemic stroke (IS) is associated with high mortality and disability rates, and secondary neuroinflammation is a key driver of exacerbated neuronal damage. Xenon (Xe) exhibits neuroprotective effects, yet the specific mechanism by which ... read more

Recent Advances in AI for Automated ICD Coding: A Systematic Literature Review.

Journal of medical systems Jul 16, 2026

International Classification of Diseases (ICD) codes enable correct billing, insurance reimbursement, and healthcare analytics. However, manual coding is time-consuming, expensive, and error-prone, creating bottlenecks in clinical workflow and limiti... read more

Development and internal validation of an interpretable machine learning model using routine laboratory data for systemic sclerosis-associated pulmonary arterial hypertension.

Rheumatology international Jul 16, 2026

This study aimed to develop and validate an interpretable machine learning (ML) model using routine laboratory data to support clinical decision-making and deliver personalized care-with a specific focus on optimizing the utilization of diagnostic re... read more

Patient and physician perspectives on large language model generated responses about brain aneurysm.

Child's nervous system : ChNS : official journal of the International Society for Pediatric Neurosurgery Jul 16, 2026

PURPOSE: Large language models (LLMs) are becoming increasingly popular in medicine and neurosurgery. Because LLMs are not trained in specific subspecialties or diagnoses, a better understanding of the implications, effectiveness, and use of LLMs by ... read more

Artificial Intelligence Medical Compendium