AI Medical Compendium

Subphenotypes in acute respiratory distress syndrome: A scoping review across clinical, biological, computational, imaging, omics, and artificial intelligence approaches.

Journal of critical care Jan 30, 2026

BACKGROUND: Acute respiratory distress syndrome (ARDS) is a heterogeneous syndrome with high mortality. Subphenotyping may identify more homogeneous groups for prognostic enrichment and precision therapies. METHODS: We conducted a scoping review (Jan... read more

μPharma: A microfluidic, AI-driven pharmacotyping platform for single-cell drug sensitivity prediction in leukemia.

Med (New York, N.Y.) Jan 30, 2026

BACKGROUND: Pharmacotyping, the ex vivo measurement of tumor cell responses to drugs, is particularly important for cancers lacking actionable genomic markers. However, current pharmacotyping methods are not clinically feasible due to prolonged drug ... read more

Reconstructing sludge microstructure for deep dewatering: A critical review of mechanisms and prospects of skeleton construction technology.

Environmental research Jan 30, 2026

The rapid urbanization has led to a dramatic increase in sludge production, whose treatment is further complicated by high moisture content and hazardous substances, resulting in elevated operational costs. Due to the compressibility and hydrophilici... read more

AI-enabled forecasting of prehospital transfusion needs in patients with trauma: a multinational, registry-based, retrospective, machine learning development and validation study.

The Lancet. Digital health Jan 30, 2026

BACKGROUND: Trauma is a major global cause of morbidity and mortality, with haemorrhage representing a leading preventable cause of early death. Timely blood transfusion is a crucial intervention, but current prehospital decision-making tools are sca... read more

Response to Letter to the Editor regarding, "Evaluation of color matching accuracy using artificial intelligence applications and a spectrophotometer: A photometric analysis".

The Journal of prosthetic dentistry Jan 30, 2026

Selection of the best artificial intelligence techniques for analysis of gastrointestinal endoscopic images.

Arab journal of gastroenterology : the official publication of the Pan-Arab Association of Gastroenterology Jan 30, 2026

BACKGROUND AND STUDY AIM: Comprehensive identification and prioritization of artificial intelligence methods developed for the analysis of gastrointestinal endoscopic images can help in selecting the most appropriate techniques. This study aimed to i... read more

Predicting progression-free survival in hormone-receptor positive (HR+/HER2-) metastatic breast cancer (MBC) treated with CDK4/6 inhibitors: A machine learning approach.

Breast (Edinburgh, Scotland) Jan 30, 2026

BACKGROUND: In HR+/HER2- metastatic breast cancer (MBC), CDK4/6 inhibitors combined with endocrine therapy (ET) significantly improve progression-free survival (PFS). Machine learning (ML) approaches may improve individualized progression risk estima... read more

Deep learning predicts and in vitro experiments validates the synergistic anti-liver cancer effect of vincristine and lenvatinib: Mechanism involving apoptosis induction via the TNF-α/Caspase-8 pathway.

Biochemical and biophysical research communications Jan 30, 2026

Resistance to lenvatinib has become a major obstacle in the clinical treatment of liver cancer, highlighting the significant research value and translational potential of developing synergistic drug combinations. In this study, deep learning models (... read more

Adaptive sample repulsion against class-specific counterfactuals for explainable imbalanced classification.

Neural networks : the official journal of the International Neural Network Society Jan 30, 2026

Enhancing model classification capability for samples within overlapping regions in complex feature spaces remains a key challenge in imbalanced classification research. Existing mainstream methods at the data-level and algorithm-level primarily rely... read more

Multi-timescale representation with adaptive routing for deep tabular learning under temporal shift.