AI Medical Compendium

Advances in predictive factors for pathological complete response after neoadjuvant therapy in locally advanced rectal cancer.

Radiation oncology (London, England) Jul 20, 2026

For locally advanced rectal cancer (LARC), neoadjuvant chemoradiotherapy (nCRT) combined with total mesorectal excision has emerged as the standard therapeutic approach, as delineated in contemporary clinical guidelines. Pathological complete respons... read more

Reducing overconfident errors in clinical prediction models.

BMC medical informatics and decision making Jul 20, 2026

Machine Learning (ML) models are increasingly being used in clinical workflows. Evaluation of these models tends to focus on global performance metrics, which can obscure error patterns and lead to bias in clinical decision making. Here, we propose P... read more

Association of preoperative monocyte level with postoperative delirium in patients receiving cardiac surgery under propofol-based anesthesia: a retrospective study.

Journal of cardiothoracic surgery Jul 20, 2026

BACKGROUND: Postoperative delirium is a common complication after cardiac surgery, and perioperative inflammation may contribute to its development. However, the association between preoperative blood indicators and postoperative delirium in patients... read more

A versatile yeast platform for N-demethylation of therapeutic alkaloids.

Journal of biological engineering Jul 20, 2026

Alkaloid N-demethylation is a critical step in the production of many semi-synthetic alkaloid therapeutics and has traditionally relied on synthetic chemical routes. Microbial whole-cell bioproduction offers a promising alternate route for generating... read more

Identification and analysis of EphrinB2/EphB4 signaling pathway and angiogenesis related biomarkers in coronary artery disease based on bioinformatics.

Journal of cardiothoracic surgery Jul 20, 2026

BACKGROUND: EphrinB2 and its receptor EphB4 have been reported to play a crucial role in the development of the cardiovascular system, and the process of coronary artery disease (CAD) is closely related to angiogenesis. The aim of this study is to id... read more

Interpretable machine learning for cardiovascular disease risk prediction in cancer survivors: development and internal validation.

Cardio-oncology (London, England) Jul 20, 2026

BACKGROUND: Cardiovascular disease (CVD) is a major concern among cancer survivors. However, the intersection of cancer and CVD has only recently gained broader attention, and substantial evidence gaps remain. This study aimed to identify risk factor... read more

FOXC1: A Key Transcription Factor of VSMC-Derived Foam Cell Formation in Atherosclerotic Plaque Instability.

The Kaohsiung journal of medical sciences Jul 20, 2026

The instability of atherosclerotic plaques, particularly intraplaque hemorrhage (IPH), drives life-threatening cardiovascular events, a process in which vascular smooth muscle cell (VSMC)-derived foam cells play a significant role. We aim to identify... read more

Regarding "Harnessing Machine Learning for Agnostic Biodetection".

Health security Jul 20, 2026

EXPRESS: A rapid and nondestructive approach for identification of foodborne bacteria using hyperspectral imaging and multimodal technology.

Applied spectroscopy Jul 20, 2026

Foodborne illnesses pose a serious threat to food safety and cause substantial economic losses. Hyperspectral imaging (HSI) has emerged as a powerful tool for rapid and non-destructive identification of foodborne pathogens. However, the high chemical... read more

Co-designing an AI-based ergonomic risk assessment system with rehabilitation professionals: A review on participatory framework.

Work (Reading, Mass.) Jul 20, 2026

BackgroundWork-related musculoskeletal disorders remain a major source of disability and productivity loss across healthcare and rehabilitation workforces. Although ergonomic risk assessment is central to prevention strategies, traditional assessment... read more

Artificial Intelligence Medical Compendium