AI Medical Compendium

Case-level artificial intelligence for multi-photo teledermatology submissions: development and internal validation using patient-submitted dermatology images

medRxiv Jun 1, 2026

Background: Store-and-forward teledermatology commonly relies on several patient-submitted photographs of the same concern, but most dermatology artificial intelligence models classify single images independently. Objective: To develop and internally... read more

dermatology

Real-world impact of a sepsis early detection model integrated into clinical workflow: a quasi-experimental study

medRxiv Jun 1, 2026

Background: Sepsis is a life-threatening condition in which delayed recognition and treatment are associated with increased mortality. While predictive models such as Epic's Early Detection of Sepsis Model (ESM) were developed to support early interv... read more

health informatics

AI-Guided Structure-Aware Modeling and Thermal Proteomics Reveal Direct Demethylzeylasteral-ACLY Interaction

bioRxiv Jun 1, 2026

Identifying the direct molecular targets of bioactive natural products remains a central challenge in chemical biology. Here we present an integrated experimental-computational framework, that combines matrix-augmented thermal proteomics with HoloGNN... read more

biochemistry

Integrative multi-omics analysis identifies a circadian rhythm-associated gene signature for prognosis and therapeutic stratification in lung adenocarcinoma.

Discover oncology Jun 1, 2026

BACKGROUND/OBJECTIVES: Circadian rhythm disruption is increasingly implicated in tumor progression and therapy resistance. However, its prognostic value and impact on the tumor immune microenvironment in lung adenocarcinoma (LUAD) remain unclear. Thi... read more

Nanostructured electrode materials and flexible-substrate engineering for wearable multi-analyte biosensors in diabetes monitoring and personalized care: a comprehensive review.

Journal of materials science. Materials in medicine Jun 1, 2026

This review examines the convergence of wearable biosensors and artificial intelligence (AI) in personalized diabetes care. It addresses the limitations of traditional glucose monitoring and underscores the need for continuous, multi-analyte physiolo... read more

The (r)evolution of chemical space and molecular modeling: a time-resolved perspective.

Journal of computer-aided molecular design Jun 1, 2026

The number and types of chemical compounds are expanding at an unprecedented rate. To model existing chemicals and aid in the design of novel chemical structures, appropriate computational approaches, tailored to the goals of specific projects, have ... read more

Interpretable machine learning model for predicting operative difficulty in robotic total mesorectal excision for mid-low rectal cancer.

Journal of robotic surgery Jun 1, 2026

Precise preoperative prediction of surgical complexity in robot-assisted total mesorectal excision (R-TME) is essential for optimizing surgical strategies. The current study aimed to construct an interpretable machine learning (ML) model to anticipat... read more

ASO Authors Reflections: Artificial Intelligence-Driven Three-Dimensional Reconstruction System-From Plan to Procedure.

Annals of surgical oncology Jun 1, 2026

A general framework for extrapolation-aware prediction reliability in forward and inverse analyses of Gaussian mixture regression models.

Analytical sciences : the international journal of the Japan Society for Analytical Chemistry Jun 1, 2026

Gaussian mixture regression (GMR) and direct inverse analysis (DIA) are powerful tools for molecular, material, and process design, but their reliability decreases when extrapolation occurs beyond the training data. To address this challenge, an inde... read more

A risk stratification framework based on ammonia-induced cell death signatures for prognostic assessment and therapeutic insights in colorectal cancer.