AI Medical Compendium

KEGG orthology-based machine learning reveals functional determinants of antimicrobial resistance in Acinetobacter baumannii.

Microbiology spectrum May 7, 2026

UNLABELLED: Antimicrobial resistance represents a critical global health threat, with Acinetobacter baumannii classified as a priority pathogen due to its extensive multidrug resistance. Currently, antimicrobial susceptibility testing relies on pheno... read more

Integrating STEM career exploration into busy introductory biology courses through a student-driven podcast project.

Journal of microbiology & biology education May 7, 2026

Introductory biology courses at 2- and 4-year colleges attract students from diverse disciplines, fulfilling both science prerequisites and general education requirements. Therefore, these introductory classes provide an ideal opportunity to ignite i... read more

The Last Mile Problem: A Critical Assessment of Physics-Based and AI Tools for Small Molecule Binding Prediction in Virtual Screening.

Journal of chemical information and modeling May 7, 2026

Docking-based virtual screening (VS) is essential for hit finding in the initial stage of drug or probe discovery. However, it remains prone to high false-positive rates, often resulting in unsuccessful screening campaigns. MD-based alchemical free-e... read more

Artificial Intelligence for Regulatory Evidence: A Systematic Document Analysis of European Medicines Agency Regulatory Advice and Public Reports.

Clinical pharmacology and therapeutics May 7, 2026

Artificial intelligence (AI) is receiving increasing attention across the entire lifecycle of medicines, from early development to postauthorization use. While various AI tools have been developed in commercial and academic settings, the extent of th... read more

FourierAN-m1A: A Novel Fourier-Domain Adaptive Feature Extraction Framework for m1A RNA Modification Prediction.

ACS synthetic biology May 7, 2026

RNA modifications play a pivotal role in regulating gene expression. Among them, N1-methyladenosine (m1A), as a crucial post-transcriptional modification, requires accurate site identification to elucidate its regulatory mechanisms. However, existing... read more

Machine Learning-Based Prediction Model for Infectious Complications in Trauma and Its Association With In-Hospital Mortality.

World journal of surgery May 7, 2026

BACKGROUND: Infectious complications, such as sepsis or catheter-related infections, are common and serious sequelae after trauma. Despite their clinical significance, existing risk-prediction models are limited by reliance on in-hospital data that f... read more

Imaging and AI in tertiary prevention of lung cancer: Narrative review and clinical perspectives.

Multidisciplinary respiratory medicine May 7, 2026

OBJECTIVE: To provide a structured narrative review of current evidence and future directions for artificial intelligence (AI) applications in the tertiary prevention of lung cancer, with a focus on radiology-driven recurrence surveillance, treatment... read more

Deep learning model for noninvasive prediction of Ki-67 expression and prognostic stratification in breast cancer: a multicenter retrospective study.

European radiology May 7, 2026

OBJECTIVE: Ki-67 correlates with prognosis for patients with breast cancer. However, the evaluation of Ki-67expression relies on pathological analysis and invasive biopsy, which hinders its wide adoption. This work sought to develop a noninvasive Ki-... read more

Osteoarthritis and dementia: contrasting disorders driven by mutual pathways of autophagy, mTOR, GLP-1, AMPK, wnt, and WISP1.

Expert review of clinical pharmacology May 7, 2026

INTRODUCTION: Increased global lifespan is paralleled by a rise in non-communicable diseases with osteoarthritis and dementia, including Alzheimer's disease, impacting all nations with severe disability, death, and financial burden. AREAS COVERED: Gi... read more

Integrated Chiral Volatile Organic Compound, Gas Chromatography Mass Spectrometry, and Isotope Ratio Analyses with Interpretable Machine Learning for Flavor Authentication: A Critical Analytical Review.

Critical reviews in analytical chemistry May 7, 2026

This critical review summarizes chiral volatile organic compound (VOC) analysis principles and compound-specific isotope ratio measurements, evaluating their combined application in flavor authentication. Natural flavorings are highly susceptible to ... read more

Artificial Intelligence Medical Compendium