AI Medical Compendium

Prediction of Ligand Binding to Transthyretin Using Machine Learning Algorithms and Low-Dimensional Molecular Descriptors: A Tox24 Challenge Study.

Chemical research in toxicology Jun 1, 2026

This study presents a comprehensive machine learning approach for predicting the percent displacement of ANSA from human transthyretin (TTR) at fixed assay conditions as defined in the Tox24 Challenge. TTR is a critical serum transport protein for th... read more

Bridging Generations: Leveraging Technology and Artificial Intelligence for Better Research, Outreach, and Daily Practice.

The Journal of rheumatology Jun 1, 2026

The Group for Research and Assessment of Psoriasis and Psoriatic Arthritis (GRAPPA) 2025 annual meeting hosted a workshop entitled "Bridging generations: leveraging technology and AI for better research, outreach, and daily practice." This interactiv... read more

Unequal harvests: AI-assisted evidence map of trends and gaps in global farmer health research along SDG 3 priorities.

BMJ open Jun 1, 2026

INTRODUCTION: Ensuring the health of agricultural workers, the world's largest labour force, is key for sustainable food production and progress towards the Sustainable Development Goals (SDGs). METHODS: We conducted an artificial intelligence (AI)-a... read more

From Parasite to Pill: Harnessing Biology for Breakthroughs in Antimalarial Drug Discovery.

Cold Spring Harbor perspectives in medicine Jun 1, 2026

The global imperative for malaria eradication demands innovative strategies for antimalarial drug discovery, particularly in the face of growing drug resistance. This article describes how biological insights into Plasmodium parasites and their inter... read more

Problem-based learning in the age of generative AI: A structured blueprint for medical curricula.

Zeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen Jun 1, 2026

BACKGROUND: Problem-based learning (PBL) is a well-established approach in medical education. In small groups, students work on real clinical cases with a high level of self-responsibility. Rooted in constructivist learning theory and the Socratic me... read more

Differentiating Mummified Thyroid Nodules From Papillary Thyroid Carcinoma: A Machine Learning Approach Using Multi-Modal Ultrasound Radiomics.

Ultrasound in medicine & biology Jun 1, 2026

OBJECTIVES: This study aimed to establish a machine-learning model that integrates contrast-enhanced ultrasound (CEUS) radiomics, conventional ultrasound (US) radiomics and clinical features for distinguishing mummified thyroid nodules (MTNs) from pa... read more

Toward Autonomous Histotripsy: Integrating Deep Learning Segmentation With Robotic Control for Glioblastoma.

Ultrasound in medicine & biology Jun 1, 2026

OBJECTIVE: Glioblastoma multiforme (GBM) is an aggressive brain tumor in which incomplete margin delineation during surgery can contribute to residual disease or unintended damage to healthy tissue. This study proposes an artificial intelligence- and... read more

Carfentanil in the illicit drug supply: A machine learning approach for trace detection using surface-enhanced Raman spectroscopy.

The International journal on drug policy Jun 1, 2026

BACKGROUND: Carfentanil is an extremely potent synthetic fentanyl analogue often present at trace levels alongside other fentanyl analogues and long-acting sedatives, and has become increasingly prevalent in drug supplies across Canada and the United... read more

Application of artificial intelligence in the design of single tooth-supported restorations: A systematic review.

The Journal of prosthetic dentistry Jun 1, 2026

STATEMENT OF PROBLEM: Designing dental prostheses using computer-aided design software programs can be complex and time-consuming. To address this challenge, artificial intelligence (AI) has been increasingly integrated into the design process. While... read more

A Preliminary Open-Label Pilot Study of a Pillow-Based ELF-ELME (Extremely Low-Frequency, Extremely Low Magnetic Environment) Intervention for Major Depressive Disorder.

Neuropsychopharmacology reports Jun 1, 2026

BACKGROUND: Mitochondrial dysfunction has been implicated in the pathogenesis of depression. Major depressive disorder (MDD) is a prevalent condition with substantial individual and societal burden. A novel approach-exposure to an extremely low-frequ... read more

Artificial Intelligence Medical Compendium