AI Medical Compendium

Developing metacognitive knowledge for effective AI-supported study behaviors in undergraduate biology: recommendations for instructors.

Journal of microbiology & biology education Apr 30, 2026

The use of effective study behaviors is essential for student academic performance and persistence. Currently, it is reported that college students use generative artificial intelligence (AI) to help them prepare for courses, suggesting they hold met... read more

Interpretable convolutional neural networks for sequence-based classification and discovery of plastic-degrading enzymes.

Applied and environmental microbiology Apr 30, 2026

The rapid accumulation of plastic waste has emerged as a critical environmental threat, driving the need for scalable and effective biodegradation solutions. Major plastic types, including biopolyesters, aliphatic polyesters, and aromatic polyesters,... read more

Machine-Learning-Guided Ligand Optimization for Americium/Europium Coordination Discrimination.

Inorganic chemistry Apr 30, 2026

Efficient separation of trivalent minor actinides from lanthanides remains a central challenge in advanced nuclear fuel cycle strategies. Here, we develop a machine-learning-guided ligand design framework to optimize intrinsic Am3+/Eu3+ coordination ... read more

Teachers' Knowledge, Attitudes, and Behaviors Regarding Hearing Loss and Inclusive Education.

Language, speech, and hearing services in schools Apr 30, 2026

OBJECTIVE: This study assessed the knowledge levels of classroom teachers concerning students with hearing loss (HL) and hearing aids (HAs) and examined the complex interrelationships between this knowledge, their inclusive classroom behaviors, and t... read more

Ethical dimensions of artificial intelligence integration into dental practice.

Journal of the American Dental Association (1939) Apr 30, 2026

BACKGROUND: Artificial intelligence (AI) is increasingly applied in dentistry to enhance diagnosis and treatment planning. Its integration raises ethical challenges concerning privacy, consent, algorithmic fairness, and professional accountability. T... read more

Assessment models for driving comfort and fatigue status based on heart rate variability.

Traffic injury prevention Apr 30, 2026

OBJECTIVES: This study, from an interdisciplinary perspective of human factors engineering and biomedical engineering, aims to develop a real-time assessment model for driver status to mitigate the risks associated with fatigue and discomfort during ... read more

Early ctDNA stratifies survival in locally advanced and oligometastatic lung cancer treated with radiotherapy.

Clinical cancer research : an official journal of the American Association for Cancer Research Apr 30, 2026

PURPOSE: Circulating tumor fraction estimate (ctFE) is a machine learning-derived composite metric of circulating tumor DNA (ctDNA) burden. We hypothesized that pre- and early on-treatment ctFE could robustly risk-stratify patients with locally advan... read more

Choroidal vascularity across aging and the spectrum of age-related macular degeneration: an AI-based OCT study.

Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie Apr 30, 2026

PURPOSE: To characterize the choroidal morphology across a spectrum of participants affected by normal aging as well as age-related macular degeneration (AMD) using various metrics. METHODS: Four cohorts were analyzed: healthy young (n = 42), healthy... read more

A review of machine learning in toxicology: current practices and reporting gaps.

Archives of toxicology Apr 30, 2026

In recent years, machine learning and artificial intelligence approaches have been increasingly applied in the context of toxicological risk assessment. Many published overview, review, and comment papers discuss advantages, disadvantages, success st... read more

An integrative machine learning and structure-driven drug repositioning strategy for human IRAK4-targeted cancer therapy.

Naunyn-Schmiedeberg's archives of pharmacology Apr 30, 2026

The upregulation of interleukin-1 receptor-associated kinase 4 (IRAK4) drives pro-tumorigenic signaling across various malignancies. Currently available IRAK4 inhibitors are all limited by suboptimal selectivity and off-target toxicity. To develop no... read more

Artificial Intelligence Medical Compendium