AI Medical Compendium

Letter to the editor: "A risk-adjusted length of stay to evaluate severe community-acquired pneumonia (sCAP) outcomes: a machine learning analysis of 16,985 ICU admissions".

Journal of critical care Jan 24, 2026

Trust at risk: Why public health must lead the use of AI in pandemic preparedness.

Public health Jan 24, 2026

Artificial intelligence (AI) is poised to play a transformative role in pandemic preparedness, with the potential to enhance surveillance, risk assessment, and outbreak response. Indeed, AI is already embedded in several areas of public health practi... read more

Peptide-nanoparticle platforms for antisense therapeutics: A coarse-grained modeling approach to brain delivery.

Computers in biology and medicine Jan 24, 2026

Traumatic brain injury (TBI) is a leading cause of long-term neurological deficits, often resulting in complex, unresolved molecular and cellular dysfunctions. Among these, gene-circuit disruptions-particularly those affecting neuroinflammation, oxid... read more

Comment on "A deep learning approach for the screening of referable age-related macular degeneration - Model development and external validation".

Journal of the Formosan Medical Association = Taiwan yi zhi Jan 24, 2026

Multi-objective decision model for wastewater treatment technology selection based on machine learning.

Bioresource technology Jan 24, 2026

This study integrated life cycle assessment (LCA), machine learning (ML), and analytic hierarchy process (AHP) to optimize wastewater treatment technology selection in the upper Yellow River Basin-a region constrained by limited carrying capacity and... read more

MRI-based multilevel radiomics and transformer features for predicting radiation-induced carotid artery injury after nasopharyngeal carcinoma radiotherapy: A multicenter study.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology Jan 24, 2026

PURPOSE: To develop and validate an MRI-based fusion model (Rad-SRad-SwinT) integrating conventional radiomics (Rad), subregional radiomics (SRad), and Transformer-derived deep learning features (Swin Transformer, SwinT) to predict post-radiotherapy ... read more

Pharmacological manipulation of nested oscillations in human iPSC-derived 2D neuronal networks.

Neurobiology of disease Jan 24, 2026

Dynamically coupled neural networks are fundamental to human cognition and behavior and are disrupted in neurodevelopmental disorders. The formation and dissolution of functional networks is thought to be driven by synchronized oscillatory bursts acr... read more

Interpretable machine learning model for predicting refeeding syndrome after colorectal cancer surgery.

Clinical nutrition ESPEN Jan 24, 2026

OBJECTIVE: Refeeding syndrome (RFS) is a common yet frequently overlooked complication during postoperative nutritional support in patients undergoing colorectal cancer surgery. This study aimed to develop an explainable machine learning model for ea... read more

NIPSNAP3B elevates mitochondrial biogenesis to attenuate lipid accumulation in childhood obesity via AMPK pathway.

Gene Jan 24, 2026

OBJECTIVE: Childhood obesity (CO) has become a global epidemic, leading to rising burden of many diseases and premature death. Thus, this study was conducted to screen the mitochondria-associated biomarkers for patients with CO, as well as the involv... read more

Brain aging in bipolar disorder using a neuroimaging and machine learning-derived metric: Findings from the ENIGMA BD Working Group.

Journal of affective disorders Jan 24, 2026

BACKGROUND: Bipolar disorder (BD) is associated with clinical and biological markers of premature aging. In this largest study of brain age in BD to date, with 2919 participants, we compared brain-predicted age difference (brain-PAD) in individuals w... read more

Artificial Intelligence Medical Compendium