AI Medical Compendium

Distinct diurnal drivers of estuarine pCO2 revealed by interpretable machine learning.

Marine pollution bulletin May 21, 2026

Pronounced diurnal differences in the partial pressure of CO2 (pCO2) in surface estuary waters are observed, and resolving these disparities is a prerequisite for improving regional carbon budget estimates. However, underlying drivers of pCO2 at the ... read more

A novel endoscopic ultrasound system assisted by artificial intelligence for the recognition of pancreatic parenchyma and the detection of solid/cystic lesions.

Endoscopy May 21, 2026

Subject-independent emotion recognition with EEG bispectral quadratic phase coupling features and explainable machine learning.

Biomedical physics & engineering express May 21, 2026

Subject-independent emotion recognition from electroencephalography (EEG) is constrained by nonlinear neural dynamics and inter-subject variability. This study characterises nine bispectral quadratic phase coupling (QPC) descriptors extracted from fr... read more

Stabilizing neuromorphic ECG processors via adaptive fractional fatigue.

Biomedical physics & engineering express May 21, 2026

Spiking Neural Networks (SNNs) deployed on wearable devices can exhibit runaway firing when processing noisy electrocardiogram (ECG) signals, increasing switching activity and dynamic power and destabilising power regulation. To suppress redundant fi... read more

Beyond the Model: Practical Insights from Monitoring Predictive Models Across Diverse Clinical Workflows.

Applied clinical informatics May 21, 2026

OBJECTIVES: To support the artificial intelligence (AI) lifecycle in an integrated academic health system, we implemented a modular monitoring system to oversee electronic health record (EHR) vendor-provided clinical predictive models. This case stud... read more

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

Artificial Intelligence Medical Compendium