AI Medical Compendium

Few-Shot Lung Cancer Classification via Electronic Nose Using Large Language Models: A Multicentre Prospective Study.

Respirology (Carlton, Vic.) May 21, 2026

BACKGROUND AND OBJECTIVE: Electronic Nose (eNose) breathprints are promising non-invasive lung cancer diagnostic tools, but cross-site validation and adaptation remain barriers to clinical applications. It remains unknown whether a natural language p... read more

Meta-Learning as a Promising Strategy for Lipid Nanoparticle Optimization and Ionizable Lipid Discovery.

Nano letters May 21, 2026

The rapid growth of lipid nanoparticle (LNP)-based RNA therapeutics demands predictive tools to accelerate formulation and lipid design, yet development remains limited by complex delivery mechanisms and scarce high-quality data. We investigated few-... read more

Circadian Deregulation in Multiple Myeloma: BMAL1/CLOCK Expression Patterns and Diagnostic Performance.

International journal of laboratory hematology May 21, 2026

BACKGROUND: Circadian clock disruption has emerged as a relevant axis in cancer; however, the expression patterns and diagnostic relevance of BMAL1 and CLOCK in multiple myeloma (MM) remain insufficiently defined. METHODS: BMAL1 and CLOCK mRNA expres... read more

Enhancing respiratory virus surveillance among hospitalised children: a machine learning-based predictive model.

BMJ paediatrics open May 21, 2026

BACKGROUND: Viral respiratory tract infections (vRTIs) are a leading cause of paediatric hospitalisation and healthcare utilisation. Existing syndromic surveillance tools, including the WHO Severe Acute Respiratory Infection definition, demonstrate l... read more

Blocking MOXD1-derived ACOX1 peroxisome trafficking suppresses metabolic dysfunction-associated steatohepatitis.

Gut May 21, 2026

BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) has become a major global health burden yet effective pharmacological treatments remain scarce. Lipotoxicity is one of the central drivers of MASH, but the molecular regulators that ... read more

AJNR Study-Specific Guidelines for AI in Medical Imaging: Bridging Gaps in Reference Standard and Clinical Evaluation.

AJNR. American journal of neuroradiology May 21, 2026

The rapid proliferation of artificial intelligence (AI) applications in neuroradiology can lead to heterogeneous study design and reporting that impede reproducibility and clinical translation. To support authors submitting AI imaging research to AJN... read more

Temporal In Vitro Models of Skin Wound Healing Components: A Cell-Specific Framework for Acute and Chronic Repair Mechanisms.

Advances in wound care May 21, 2026

SIGNIFICANCE: Wound healing is as much about opportunity (Gk. Karios) and sequence (Gk. Chronos). The sequential healing responses involve concerted responses of cells of various lineages along with both soluble (cytokines and growth factors) and ins... read more

Evaluating the feasibility of a scalable, digitally supported model for global collaborative surgical research: protocol for a prospective, international, multicentre observational study in cryptoglandular anal fistula treatment (CRAFT).

BMJ open May 21, 2026

INTRODUCTION: Management of cryptoglandular anal fistula is characterised by wide variation in diagnostic strategies, surgical techniques and outcome reporting, limiting comparison between studies and hindering evidence-based guideline development. T... read more

Impact of COVID-19-related data drift on machine-learning prognostic models predicting 30-day opioid-related emergency department visits, hospitalisation or mortality: a population-level administrative data study in Alberta, Canada.

BMJ open May 21, 2026

OBJECTIVE: To develop machine-learning (ML) models during the COVID-19 pandemic and adjacent time periods to evaluate the impact of data drift on model performance. DESIGN: This prognostic study used population-level administrative health data to dev... read more

NATURal history of coronary PlaquE on cardiac computed tomography in individuals without MACE or lipid-lowering therapy: NATURE-CTstudy.

Journal of cardiovascular computed tomography May 21, 2026

BACKGROUND: Coronary artery disease (CAD) progression has been examined mainly in cohorts enriched for major adverse cardiovascular events (MACE), a high burden of traditional risk factors, or prior exposure to risk-modifying therapies. In contrast, ... read more

Artificial Intelligence Medical Compendium