AI Medical Compendium

Adaptive Temporal Mixture of Experts for Predicting Stiffness Metrics from the Ocular Response Analyzer and Identifying Keratoconus: Stiffness Estimates from Ocular Response Analyzer.

American journal of ophthalmology Feb 26, 2026

PURPOSE: To develop a machine learning-based modeling approach for extracting elastic stiffness estimates from Ocular Response Analyzer (ORA) waveforms. DESIGN: Prospective observational cohort study with model training and testing using development ... read more

Can Artificial Intelligence (AI) Help With The Development of Generic Clinical Skills When Breaking Bad News: A Quantitative Evaluation.

Clinical medicine (London, England) Feb 26, 2026

STUDY OBJECTIVE: Artificial Intelligence (AI) is being increasingly applied in medical education, yet its role in developing complex communication skills, such as breaking bad news, is less well defined. The Joint Royal Colleges of Physicians Trainin... read more

Using Data and Artificial Intelligence to Improve Care Pathways of Older People Experiencing Falls and Frailty: Opportunities, Challenges, and Practical Considerations for Clinicians.

Clinical medicine (London, England) Feb 26, 2026

Older people living with falls and frailty are common in emergency attendances, admissions and functional decline. Artificial intelligence (AI) and machine learning (ML) are increasingly incorporated in risk prediction, service streamlining and re-en... read more

Deep Learning-Enhanced Biomarker Interpretation on Cytology Cell Blocks - Foundations and Emerging Opportunities in Spatial Pathobiology.

The American journal of pathology Feb 26, 2026

Cytology cell block specimens are essential diagnostic materials in patients with advanced-stage malignancy and often represent the only available substrate for therapeutic biomarker evaluation. Their ability to preserve tumor cells, capture high-gra... read more

Improved sub-visible particle classification in flow imaging microscopy via generative AI-based image synthesis.

Journal of pharmaceutical sciences Feb 26, 2026

Sub-visible particle analysis using flow imaging microscopy combined with deep learning has proven effective in identifying particle types, enabling the distinction of harmless components such as silicone oil from protein particles. However, the scar... read more

Beyond the Cage: The Rise and Promise of Non-Animal Models in Biomedical Research.

European journal of pharmacology Feb 26, 2026

The accelerating shift in biomedical research toward human-relevant, ethical, and innovative methodologies has propelled the adoption of Non-animal models (NAMs) as vital alternatives to traditional animal models. This review examines the different t... read more

An interpretable ensemble machine learning model for predicting carbon dioxide adsorption on magnesium oxide-based sorbents.

Environmental research Feb 26, 2026

Accurately predicting the carbon dioxide (CO2) adsorption capacity of magnesium oxide (MgO)-based sorbents is crucial for advancing carbon capture technologies. This study develops an interpretable machine learning framework to address this challenge... read more

Harnessing Hitchhikers: Outer Membrane Vesicles Leading the Way in Advanced Cancer Therapeutics and Diagnostic- A Review.

Cancer letters Feb 26, 2026

Cancer therapy is increasingly shaped by delivery platforms designed to overcome the limitations of conventional chemotherapy and radiotherapy. Among these, bacterial outer membrane vesicles (OMVs) have emerged as versatile nanocarriers with intrinsi... read more

Harnessing exosomes for precision diagnostics and therapies in psychiatry disorders.

Clinica chimica acta; international journal of clinical chemistry Feb 26, 2026

Exosomes are nanosized extracellular vesicles enriched with proteins, lipids, and nucleic acids and are emerging as powerful mediators of intercellular communication with transformative potential for psychiatry. Their ability to cross the blood-brain... read more

Multimodal Representation Learning for Parsing Biological Heterogeneity in Psychiatric Neuroimaging.

Biological psychiatry Feb 26, 2026

For decades, psychiatric neuroimaging has searched for biomarkers of depression and other disorders, but they remain elusive in clinical practice. While the last five years have seen rapid progress, other large-scale correlative studies have found on... read more

Artificial Intelligence Medical Compendium