AI Medical Compendium

Exploring Chemoinformatics Aspects of Few-Shot Meta-Learning by Example of an Infinite Dilution Activity Coefficient in Ionic Liquid Prediction.

Journal of chemical information and modeling Apr 13, 2026

Collection of substantial training sets for structure-property modeling often poses a significant challenge, especially for niche sorption systems. This study provides computational experiments with meta-learning that presents a compelling solution t... read more

Novel machine learning-based approach to identify viral biomarkers of human respiratory emissions from oral and nasal metagenomes.

mSphere Apr 13, 2026

Humans spend approximately 90% of their lives in built environments, making virus transmission indoors a key determinant of health. Environmental sampling of respiratory viral pathogens is often challenging because of frequent non-detect measurements... read more

Toward AI-Powered Cancer Etiology Research.

Cancer discovery Apr 13, 2026

Advances in multimodal longitudinal data and artificial intelligence (AI) create new opportunities for cancer etiology research. We envision an AI-powered discovery workflow integrating an interoperable epidemiologic data ecosystem and causal inferen... read more

Training the Next Generation of AI-Enabled Cancer Scientists.

Cancer discovery Apr 13, 2026

Despite unprecedented opportunities at the convergence of artificial intelligence (AI) and cancer research, few scientists possess fluency in both domains. We propose a six-principle framework for training "AI-oncology bilingual" scientists who can b... read more

Inferring rheumatoid arthritis disease activity status from the electronic health records across health systems.

Arthritis & rheumatology (Hoboken, N.J.) Apr 13, 2026

OBJECTIVE: Disease activity plays a central role in rheumatoid arthritis (RA) clinical studies. The inconsistent availability of data on disease activity in real-world electronic health records (EHR) data has limited the ability to generate real-worl... read more

Accuracy of Large Language Models in Frequently Answering Questions Related to Presurgical Nasoalveolar Molding.

The Cleft palate-craniofacial journal : official publication of the American Cleft Palate-Craniofacial Association Apr 13, 2026

ObjectiveTo assess the accuracy, readability, and comparative quality of five large language models (LLMs) in answering frequently asked questions related to nasoalveolar molding (NAM) in cleft care.DesignRepeated measures study.SettingThis study eva... read more

Running an electron microscopy core facility.

Journal of microscopy Apr 13, 2026

As electron microscopes became more costly, technically complex, and integral to a wide range of scientific fields, centralised electron microscopy (EM) core facilities have become essential for maintaining accessibility, performance, and quality. Dr... read more

AI-based evaluation of implant abutment screw torque decay: A periapical radiograph pilot study.

Journal of periodontology Apr 13, 2026

BACKGROUND: To develop a deep learning framework for non-invasive detection of implant abutment central screw torque decay using periapical radiographs, addressing the clinical challenge of mechanical screw loosening without invasive intervention. ME... read more

Beyond autonomy: why medicine needs artificial intelligence teammates, not artificial intelligence doctors.

Diagnostic and interventional radiology (Ankara, Turkey) Apr 13, 2026

Unsupervised phenotyping of the periodontal architecture through high-dimensional clustering of electronic health records: A multicenter study.