Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 46,951 to 46,960 of 224,199 articles

Harnessing exosomes for precision diagnostics and therapies in psychiatry disorders.

Clinica chimica acta; international journal of clinical chemistry
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 

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

Cancer letters
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 

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

Environmental research
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 

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

European journal of pharmacology
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 

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

Journal of pharmaceutical sciences
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 

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

The American journal of pathology
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 

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)
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 

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

Clinical medicine (London, England)
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 

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
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 

Harnessing AI to Decode Protein Kinases: Structural, Functional, and Therapeutic Design Perspectives.

New biotechnology
Recent advances in Artificial Intelligence (AI) are reshaping kinase research by uncovering complex regulatory mechanisms and accelerating drug discovery. These advances have enabled the capture of elusive allosteric transitions and transient cryptic... read more