AI Medical Compendium

Neuroimaging-derived brain age as a new promising biomarker in mental disorders.

Neuroscience and biobehavioral reviews Feb 12, 2026

Mental disorders are frequently associated with accelerated brain aging, yet the diagnostic and classificatory utility of brain age remains uncertain. This study aimed to evaluate the diagnostic value of brain age across multiple mental disorders and... read more

Therapeutic potential of pharmacological components of Salvia miltiorrhiza against atherosclerosis: A preclinical systematic review and meta-analysis.

Journal of ethnopharmacology Feb 12, 2026

ETHNOPHARMACOLOGICAL RELEVANCE: Atherosclerosis (AS) severely threatens global health, while current therapies exhibit limitations. Recognized as a 'superior-grade' herb in the Shennong Ben Cao Jing, Salvia miltiorrhiza Bunge (Danshen) has been shown... read more

Integrated bioinformatics and machine learning approaches reveal that Venenum bufonis acts against acute pharyngitis by inhibiting the p38 MAPK/ERK-MKNK1-eIF4E signaling pathway.

Journal of ethnopharmacology Feb 12, 2026

ETHNOPHARMACOLOGICAL RELEVANCE: Venenum bufonis (VB) has been used for centuries in Asia to treat pharyngitis. However, its active components and mechanisms require further elucidation. AIMS OF THE STUDY: This study aimed to identify the active compo... read more

Thalamocortical and corticostriatal pathways in the progression from acute to chronic musculoskeletal pain: an fMRI study.

The journal of pain Feb 12, 2026

Most people experience acute pain as a temporary condition, while a small subset develops chronic pain. The role of pain-related circuits driving this transition remains unclear. Using UK Biobank data and an independent dataset (OpenPain), we analyze... read more

Brain Mechanisms of Pain Anticipation in Chronic Low Back Pain: Insights into Phenotypical Responses to Mind-Body Therapy.

The journal of pain Feb 12, 2026

Pain perception and emotional processing share common predictive mechanisms influenced by anticipation, expectation, and uncertainty. This study identifies distinct neural phenotypes of pain anticipation in chronic low back pain(cLBP) and examines th... read more

Identification of key biomarkers for initial corticosteroid resistance in newly diagnosed primary immune thrombocytopenia.

Experimental hematology Feb 12, 2026

Corticosteroid resistance is a major obstacle to the management of patients with primary immune thrombocytopenia (ITP), as the factors contributing to the variability in treatment response remain largely unknown. We analyzed a broad set of plasma pro... read more

Research on the Application Value of Blood Plasma Autofluorescence Spectroscopy Model Constructed by Machine Learning Algorithms in Identifying the Types of Post-operative Kidney Transplantation Injury.

Photodiagnosis and photodynamic therapy Feb 12, 2026

BACKGROUND: This study aimed to assess the value of blood plasma autofluorescence spectroscopy in classifying renal injury after renal transplantation. METHODS: The researchers included 86 patients after kidney transplantation and established five cl... read more

Computational discovery and prioritization of ribose-5-phosphate isomerase A as a mitochondrial target for reversing senescence in mesenchymal stem cells.

International journal of biological macromolecules Feb 12, 2026

Age-related osteoporosis is increasingly recognized as a disease of stem cell dysfunction, hallmarked by the skewed lineage commitment of mesenchymal stem cells (MSCs) away from osteogenesis towards adipogenesis. This functional decline is closely li... read more

A unified survey on drug-target interaction and binding affinity prediction: Models, representations, and challenges.

Biotechnology advances Feb 12, 2026

Drug discovery is a complex and systematic process aimed at finding new treatment methods that can prevent or treat specific diseases. Accurately predicting the interaction and binding affinity between drugs and targets is one of the key steps in mod... read more

Design and screening of single transition-metal atom anchored on G/BP heterostructure as NORR electrocatalysts: A DFT and machine learning study.

Journal of hazardous materials Feb 12, 2026

Electrocatalytic NO reduction reaction (NORR) enables the conversion of hazardous NO gases into valuable NH₃ under ambient conditions. However, due to the slow reaction kinetics and low Faraday efficiency of NORR, it is essential to explore active an... read more

Artificial Intelligence Medical Compendium