AI Medical Compendium

Autoencoder/RandomForest-TabPFN for Cross-Cancer Metabolomics: Prostate and Breast Cancer Diagnosis Using Paper Spray and Ion Mobility-Mass Spectrometry Techniques.

GigaScience May 7, 2026

Accurate and rapid disease diagnosis, particularly in prostate cancer (PC) and breast cancer (BC), is critical for early intervention and improved patient outcomes. Metabolomic signatures represent a robust molecular framework for elucidating cancer-... read more

Global Perspectives on CNS Drug Innovation: Achievements, Barriers, and Priorities for the Next Decade.

The international journal of neuropsychopharmacology May 7, 2026

BACKGROUND: Over the past decade, neuropsychopharmacology has shifted from stagnation to momentum, with first-in-class mechanisms and biomarker-enabled trials spanning psychiatry and neurology. METHODS: We narratively synthesized advances from 2013 t... read more

Cough Audio Recognition for Early Detection of Respiratory Diseases: Algorithm Development and Validation Study.

JMIR medical informatics May 7, 2026

BACKGROUND: Coughing is a common clinical symptom and a protective respiratory reflex closely associated with various respiratory system diseases. The acoustic characteristics of cough sounds are influenced by underlying pathological factors, with di... read more

Can a Large Language Model Grounded in Text-Based Agency-Specific Prehospital Protocols Provide Accurate Care Recommendations?

Prehospital emergency care May 7, 2026

OBJECTIVES: Large language models (LLMs) using a retrieval-augmented generation (RAG) approach have the ability to respond to user queries with answers grounded in specific sources. We conducted an exploratory evaluation of the accuracy of a RAG-base... read more

Metabolite-centric identification of antimetabolite drug targets across cancer and neurodegenerative diseases.

Molecular omics May 7, 2026

Antimetabolites, primarily studied in cancer, are novel drugs targeting metabolic networks by mimicking and inhibiting disease-causing metabolites, enabling poly-pharmacologic effects essential for complex diseases. Moreover, predicting patients like... read more

Why We Need Patients and Community at the Center of AI Health Communication Research.

Journal of medical Internet research May 7, 2026

Holderried and colleagues tested whether artificial intelligence (AI)-generated, patient-centered information can help people understand what they need to do after being discharged from a hospital. Participants demonstrated stronger comprehension whe... read more

From Pilot Trap to Institutional Capacity: A Governance Framework for Sustainable Clinical AI Implementation in Health Systems.

Journal of medical Internet research May 7, 2026

Clinical artificial intelligence (AI) applications frequently fail to transition from short-term pilot projects into sustained components of routine clinical care, a phenomenon referred to in this viewpoint as the pilot trap. This persistent gap refl... read more

Mechanically Robust Hydrogel Strain Sensor Enabled by a Multicross-Linked Electrospun-Fiber Network for Human Motion Recognition and Interactive Control.

ACS applied materials & interfaces May 7, 2026

The burgeoning demands for health care and human-machine interfaces highlight the need for high-performance wearable strain sensors. However, it remains a major challenge to develop hydrogels that simultaneously exhibit robust mechanical properties a... read more

Resource Use Patterns in US Telehealth Services: Machine Learning and Clustering Analysis Across 4 Specialties.

JMIR medical informatics May 7, 2026

BACKGROUND: The expansion of telehealth services, particularly during the COVID-19 pandemic, has transformed health care delivery in the United States. Telehealth promises greater access and resource efficiency by reducing wait times and appointment ... read more

Application of hiPSCs for tissue modeling and therapy: are we on track?

Stem cells (Dayton, Ohio) May 7, 2026

Stem cells are key for development of disease modeling and therapies. While promising, however, current application of cutting-edge hiPSC technologies is, among others, confounded by cellular heterogeneity leading to concerns about their suitability ... read more

Artificial Intelligence Medical Compendium