AI Medical Compendium

Generative Artificial Intelligence Optimization of Albumin Binders: Coumarin and Fatty Acid Derivatives.

Journal of chemical information and modeling Jun 1, 2026

Previously, we reported a dual combination based on 4-hydroxycoumarin and dodecanedioic acid that could synergistically bind to human serum albumin (HSA). However, optimizing this combination remains challenging and could often be guided by empirical... read more

Artificial Intelligence Methods in Early Detection of Autism Spectrum Disorder: A DSM-5 Criterion-Based Systematic Review.

Autism research : official journal of the International Society for Autism Research Jun 1, 2026

Can Artificial Intelligence (AI) revolutionize early detection of Autism Spectrum Disorder (ASD) by offering a more objective alternative to the subjective behavioral assessments? This systematic review evaluates AI-based methods for early ASD detect... read more

Predictive and interactive roles of motivation and situational learning activities on emotional and cognitive engagement.

The British journal of educational psychology Jun 1, 2026

BACKGROUND: Emotions and cognitions are important factors of learning engagement. While extensive research focuses on in-class activity, there is a gap in understanding engagement in out-of-class study contexts, particularly the interplay between mot... read more

Identification of Key Microbial Signatures Associated With Breast Cancer: Machine Learning-Based Approaches Using Gut Microbiome Data.

Cancer medicine Jun 1, 2026

BACKGROUND: Breast cancer (BC) is one of the most common types of cancer incidence and mortality rates among women all over the world. Limitations in existing diagnostic methods, especially in low- and middle-income countries, require novel, noninvas... read more

Machine learning in tissue engineering: a comprehensive review of applications, challenges, and prospects.

Journal of biomaterials science. Polymer edition Jun 1, 2026

Tissue engineering, rooted in cell biology and materials science, focuses on repairing or replacing injured tissues and organs, offering groundbreaking solutions in regenerative medicine. Although progress has been made in scaffold design, growth fac... read more

Overrepresentation Bias Leads to Performance Overestimation in Blood-Brain Barrier Permeability Prediction Models: Characterization and Mitigation.

Journal of chemical information and modeling Jun 1, 2026

Recent advancements in blood-brain barrier permeability (BBBP) prediction of drug compounds have highlighted the growing role of machine learning, particularly deep learning. While considerable attention has been given to feature engineering and mode... read more

Artificial Intelligence for the Diagnosis of Pancreatic Diseases Using Endoscopic Ultrasonography.

Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society Jun 1, 2026

Artificial intelligence (AI) is rapidly being applied to medical imaging; however, the evidence base for endoscopic ultrasonography-based AI (EUS-AI) remains limited. We conducted a structured literature search (PubMed, Embase, and the Cochrane Libra... read more

Automated Centerline Extraction From Meshed Vascular Models.

International journal for numerical methods in biomedical engineering Jun 1, 2026

Centerlines of vascular structures are essential for the analysis of vascular anatomy as well as the development of computational models for simulating biomechanics. In this paper, we present a centerline extraction framework for vascular geometries ... read more

Impact of AI-based Slab Reconstruction Technology on the Diagnostic Accuracy of Screening Digital Breast Tomosynthesis.

Radiology Jun 1, 2026

Background Digital breast tomosynthesis (DBT) uses 1-mm slices, resulting in a larger number of images and longer interpretation times than conventional digital two-dimensional mammography. Slab reconstruction technologies address this challenge by g... read more

AI-based Histologic Heterogeneity of Microvascular Obstruction at Cardiac MRI for Predicting MACEs: A Multicenter Study.