AI Medical Compendium

Deep learning models for acute kidney injury prediction: multi-center external validation and evaluation under simulated continuous monitoring conditions.

NPJ digital medicine May 8, 2026

Acute kidney injury (AKI) is a common hospital complication with substantial morbidity and mortality. Deep learning models for AKI prediction show strong development-cohort performance, but single-point evaluation fails to capture behaviour under con... read more

KG-Bench: Benchmarking Graph Neural Network Algorithms for Drug Repurposing.

Bioinformatics (Oxford, England) May 8, 2026

MOTIVATION: Drug repurposing leverages existing drugs for new indications, accelerating drug development. Computational methods integrating diverse biological and chemical data can systematically prioritize repurposing candidates, but standardized be... read more

Evaluation of image quality between hybrid iterative reconstruction and deep learning reconstruction in low dose abdominopelvic CT in low body mass index individuals.

Scientific reports May 8, 2026

The study aimed to compare image quality between hybrid iterative reconstruction and deep learning image reconstruction (DLIR) in low dose contrast enhanced CT (CECT) abdomen and pelvis scans in low body mass index (BMI) individuals, to determine whe... read more

Examining developer perspectives on medical AI regulatory frameworks.

NPJ digital medicine May 8, 2026

Regulatory frameworks ensure the trustworthiness of artificial intelligence in medicine (AI-MD). Yet, developers' perspectives on these frameworks remain underexplored. We surveyed 122 AI-MD developers online, examining their awareness, familiarity, ... read more

Drug Response Profile-Based Machine Learning Enables Strategic Cell Line and Compound Selection for Drug Development.

Bioinformatics (Oxford, England) May 8, 2026

MOTIVATION: Early-stage drug discovery relies on testing compounds across a limited set of cell lines, making it challenging to capture biological diversity while maintaining experimental efficiency. Current predictive approaches often depend on high... read more

Next-generation probiotics: an outlook into current applications and future developments.

Nature reviews. Microbiology May 8, 2026

The probiotics field, a historically popular yet scientifically debated discipline, is moving beyond a decades-long promotion of 'first-generation' food-derived strains towards the development of 'next-generation probiotics' (NGP) or 'precision probi... read more

Machine learning-based integration of transcriptome and digital pathology for predicting chemoresistance in muscle-invasive bladder cancer.

Experimental & molecular medicine May 8, 2026

Muscle-invasive bladder cancer (MIBC) presents with variable clinical and pathological features, leading to inconsistent responses to standard treatments such as neoadjuvant chemotherapy (NAC). Although transcriptome profiling has shown differences i... read more

De novo and scaffold-based design of GDF15 binders for cancer cachexia diagnostics and therapeutics.

Experimental & molecular medicine May 8, 2026

Growth differentiation factor-15 (GDF15), a stress-responsive cytokine of the transforming growth factor-β superfamily, is elevated in cancer cachexia, chemotherapy-induced nausea, and hyperemesis gravidarum, making it both a biomarker and a therapeu... read more

Artificial intelligence-assisted diagnosis and subtype differentiation of infectious keratitis.

Eye (London, England) May 8, 2026

BACKGROUND: Infectious keratitis (IK) is a major cause of corneal blindness world-wide, and prompt identification of IK and its etiologic subtype is essential for appropriate management. We developed deep learning (DL) models to detect IK and differe... read more

Consistency analysis of AI cell recognition results between non anticoagulant and anticoagulant marrow smear after Wright's staining.