AI Medical Compendium

Structural, Compositional, and Dielectric State Profiling in Label-Free Single-Cell Monitoring.

Small methods Jun 3, 2026

Individual cells sense and transition between functional states, and the distribution of these states over time determines drug response, disease progression, and cell manufacturing outcomes. However, repeated measurement is difficult with label-base... read more

Body-Donor-Derived Data in Medical Artificial Intelligence: From Foundational Resources to Trustworthy Applications.

Clinical anatomy (New York, N.Y.) Jun 3, 2026

In recent years, artificial intelligence in medicine has evolved from single recognition tasks toward structural understanding, spatial reasoning, and clinical interpretability. High-quality anatomical data have become a key factor in further develop... read more

A Values-Based Framework for Ethical AI Integration in Dental Education-Explore, Embrace, Evolve, and Enhance.

Journal of dental education Jun 3, 2026

Epigenetic reprogramming of tissue-resident memory T cells in chronic inflammatory disorders and implications for targeted therapies.

Epigenomics Jun 3, 2026

BACKGROUND: Tissue-resident memory T (TRM) cells play a role in causing long-term tissue injury in chronic inflammatory diseases via pathological epigenetic reprogramming. Nevertheless, the epigenetic processes that cause this malfunction have not be... read more

Body composition phenotyping of obesity in children aged 6-18 years: multi-strategy clustering and interpretable machine learning.

Annals of human biology Jun 3, 2026

BACKGROUND: Body composition heterogeneity in childhood obesity is not fully captured by BMI, motivating operational phenotyping using non-invasive measures. AIM: To identify body composition-based phenotypes of obesity in children aged 6-18 years us... read more

Ethical and Legal Challenges of Partially and Fully Autonomous AI in Healthcare: Reinterpreting Liability and Preserving Trust.

Bioethics Jun 3, 2026

Artificial intelligence (AI) is increasingly embedded in healthcare in a variety of ways, ranging from semi-autonomous decision support systems to the various visions of completely autonomous clinical systems. This article explores the ethical and le... read more

Toward a Synthetic Data Revolution: Diffusion Model-Enhanced Hepatocellular Carcinoma Prediction in Steatotic Liver Disease.

Hepatology research : the official journal of the Japan Society of Hepatology Jun 3, 2026

AIM: Steatotic liver disease (SLD) encompasses a heterogeneous spectrum with varying risks of hepatocellular carcinoma (HCC). Limited sample sizes limit the development of predictive models, particularly for rare outcomes. This study evaluated whethe... read more

Leveraging Artificial Intelligence in Allergy, Asthma, and Immunology With Environmental Exposures.

Allergy Jun 3, 2026

Artificial intelligence (AI) in environmental health science is revolutionizing data analysis and problem-solving approaches. These technologies facilitate the prediction of environmental exposures and disease outcomes and enable the identification o... read more

A Data-Driven Normalization Framework for Subject-Specific Cerebrovascular Reactivity Assessment in Cerebrovascular Disease.

Journal of magnetic resonance imaging : JMRI Jun 3, 2026

BACKGROUND: Assessment of cerebrovascular reactivity (CVR) has been reported using acetazolamide-augmented blood oxygenation level-dependent (BOLD) MRI; however, wide intersubject baseline variability can complicate interpretation. PURPOSE: To develo... read more

Extracellular Vesicles in Exhaled Breath Condensate as Emerging Biomarkers in Lung Cancer.

American journal of physiology. Cell physiology Jun 3, 2026

Exhaled breath condensate (EBC) has emerged as a noninvasive liquid biopsy medium that captures aerosolized material from the respiratory tract and may provide insight into local lung biology. Within this matrix, extracellular vesicles (EVs) can carr... read more

Artificial Intelligence Medical Compendium