AI Medical Compendium

Diversity of FAAL enzymes and prediction of their substrate specificity using FAALPred.

Protein science : a publication of the Protein Society Feb 1, 2026

FAALs (fatty acyl-AMP ligases) recruit and incorporate fatty acids during the biosynthesis of secondary metabolites. Their diversity, distribution, and substrate specificity remain poorly understood, which limits functional predictions from sequence ... read more

Impact of Artificial Intelligence for Detection of Precancerous Colonic Lesions in a Fecal Immunochemical Blood Test-Based Organized Screening Program in Italy: A Randomized Control Trial.

United European gastroenterology journal Feb 1, 2026

BACKGROUND: The fecal immunochemical test (FIT) is widely implemented as a first-line tool in organized colorectal cancer (CRC) screening programs, including Italy. Following a positive FIT, colonoscopy is recommended. Computer-aided detection (CADe)... read more

MVICAD2: Multi-View Independent Component Analysis With Delays and Dilations.

IEEE transactions on bio-medical engineering Feb 1, 2026

Machine learning techniques in multi-view settings face significant challenges, particularly when integrating heterogeneous data, aligning feature spaces, and managing view-specific biases. These issues are prominent in neuroscience, where data from ... read more

Exploring key genes in NAFLD linked to glutamine metabolism: A comprehensive analysis combining multi-omics, machine learning and SHAP.

Asia Pacific journal of clinical nutrition Feb 1, 2026

BACKGROUND AND OBJECTIVES: Non-alcoholic fatty liver disease (NAFLD) is a prevalent liver condition glob-ally, with an escalating incidence and a strong association with various metabolic disorders, thus presenting a significant public health challen... read more

Establishment and validation of a machine learning model to stratify malnutrition risk in hospitalized older patients with chronic heart failure.

Asia Pacific journal of clinical nutrition Feb 1, 2026

BACKGROUND AND OBJECTIVES: Malnutrition among older hospitalized adults with chronic heart failure (CHF) is associated with adverse clinical outcomes, yet reliable early risk stratification tools remain lacking. This study aimed to develop and valida... read more

Artificial Intelligence-Assisted Clinical Decision Support System in Telemedical Wound Care: A Randomized Controlled Trial.

Annals of plastic surgery Feb 1, 2026

BACKGROUND: Chronic wounds are increasingly prevalent due to an aging population and rising chronic diseases. Effective wound care is often hindered by the inexperience of home caregivers, leading to suboptimal healing outcomes. Telemedicine has emer... read more

Development of an interpretable machine learning model for predicting 4-year chronic kidney disease risk in elderly hypertensive patients.

International journal of medical informatics Jan 31, 2026

INTRODUCTION: Age and hypertension are key drivers of renal impairment, predisposing older hypertensive adults to faster kidney function decline and higher mortality. We aim to develop an interpretable machinelearning model to predict 4-year chronic ... read more

MMRCL: An interpretable multi-modal deep learning framework for predicting hERG blockers.

Computational biology and chemistry Jan 31, 2026

The human ether-a-go-go-related gene (hERG) encodes a voltage-gated potassium channel essential for cardiac action potential repolarization. Drug-induced hERG inhibition can prolong the QT interval, causing severe heart diseases like torsade de point... read more

Simulation-based evaluation of ChatGPT for healthcare associated infection surveillance using validated case scenarios.

American journal of infection control Jan 31, 2026

BACKGROUND: Surveillance for healthcare-associated infections is central to infection prevention but remains complex, resource-intensive, and variable. Large language models like ChatGPT offer potential support but have not been evaluated for applyin... read more

From conventional monitoring to intelligent prediction: data-driven analysis of inorganic elements in atmospheric wet deposition at an urban site in Lanzhou.

Environmental research Jan 31, 2026

Atmospheric wet deposition represents a key pathway linking atmospheric pollution to terrestrial ecosystems, with its chemical composition and deposition flux serving as important indicators of regional environmental quality. However, conventional mo... read more

Artificial Intelligence Medical Compendium