Artificial Intelligence Medical Compendium

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

Showing 501 to 510 of 200,021 articles

Nanomedicine in precision treatment of gastric cancer: current clinical landscape.

Molecular biology reports
Gastric cancer (GC) remains a leading cause of cancer-related mortality worldwide, with therapeutic efficacy often hindered by late-stage diagnosis, chemoresistance, and the immunosuppressive tumor immune microenvironment (TIME). This review systemat... read more 

Symbolic Acceleration and Embodied Integration: Toward a Developmental Framework of Identity Reconstruction.

Integrative psychological & behavioral science
Identity is a multi-level integrative process involving coordinated development across affective, symbolic, and embodied systems-a process of progressive self-organization that is biologically paced, relationally embedded, and irreducibly enacted thr... read more 

Leveraging large language models in patient-reported outcome measure development: practical opportunities, cautions, and a human-in-the-loop roadmap.

Journal of patient-reported outcomes
BACKGROUND: Patient-reported outcome (PRO) measure development involves multiple language-intensive stages, including conceptual domain definition, candidate item generation, qualitative refinement, and cognitive interviewing prior to psychometric ev... read more 

ABCA8 drives bone loss via disrupting Th17/Treg imbalance: a novel immunometabolic target for osteoporosis.

Inflammation research : official journal of the European Histamine Research Society ... [et al.]
BACKGROUND: Osteoporosis is a metabolic bone disease characterized by reduced bone mass and microarchitectural deterioration, with complex involvement of molecular networks and immune-associated transcriptional dysregulation. OBJECTIVE: This study ai... read more 

A machine learning‑enhanced serum metabolomics model for non‑invasive detection of gastric cancer.

Metabolomics : Official journal of the Metabolomic Society
BACKGROUND: Gastric cancer (GC) is a leading cause of cancer-related deaths globally, with early detection crucial for improving survival. Current non-invasive biomarkers lack sensitivity in early stages, necessitating more accurate diagnostic tools.... read more 

Integrative Transcriptomic, Network, and Machine Learning Analyses Identify Genistein and Resveratrol-Associated Therapeutic Targets in Alzheimer's Disease.

Molecular neurobiology
Alzheimer's disease (AD) is a multifactorial neurodegenerative disorder characterized by complex molecular alterations across multiple brain regions. In this study, we applied an integrative systems-level framework combining multi-region transcriptom... read more 

Bioactive compounds for neuroinflammation and neuropathic pain management: molecular and cellular mechanisms.

Inflammopharmacology
Bioactive compounds are a promising multi-target strategy for managing neuroinflammation and chronic pain. Bioactive compounds such as Paeonol, Kaempferol, and Acteoside demonstrate significant analgesic and anti-inflammatory effects by inhibiting pr... read more 

Large Language Models for Cholesteatoma Diagnosis: A Pathology-Validated Study.

The Journal of craniofacial surgery
OBJECTIVES: To evaluate the diagnostic performance of the large language model (LLM) Gemini 2.5 for cholesteatoma detection using histopathology as the reference standard, and to compare its performance with that of routine radiologic assessment. A s... read more 

Characterization of vascular tortuosity throughout the murine oxygen-induced retinopathy model of ischemic retinopathy.

JCI insight
Vascular tortuosity (VT) is a critical biomarker of disease progression and decision to treat ischemic retinal disorders, particularly retinopathy of prematurity (ROP). The murine oxygen-induced retinopathy model is the most widely-used model of isch... read more 

AI-Driven Design and Clinical Translation of Nucleotide-Peptide and Peptide-Drug Conjugates.

ACS biomaterials science & engineering
While nucleotide-peptide conjugates and peptide-drug conjugates demonstrate a considerable evolution as next-generation therapeutics, the successful translation of these complex agents relies on advances in bioconjugation strategies. By anchoring nuc... read more