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Finerenone Modulates PANoptosis to Improve Immune Microenvironment in Diabetic Nephropathy: A Machine Learning-Based Mechanistic Analysis.

Diabetic nephropathy (DN) is characterized by nephron degeneration induced by hyperglycemia, driven ...

Bioinformatics analysis of Rho-signal transduction genes in postmenopausal osteoporosis and periodontitis.

Postmenopausal osteoporosis (PMOP) increases the risk of periodontitis (PD), yet the shared mechanis...

Combining mucosal microbiome and host multi-omics data shows prognostic potential in paediatric ulcerative colitis.

Current first-line treatments of paediatric ulcerative colitis (UC) maintain a 6-month remission in ...

Deep learning-driven incidental detection of vertebral fractures in cancer patients: advancing diagnostic precision and clinical management.

PURPOSE: Vertebral compression fractures (VCFs) are the most prevalent skeletal manifestations of os...

Integrative network pharmacology and multi-omics reveal anisodamine hydrobromide's multi-target mechanisms in sepsis.

Sepsis, marked by hyperinflammation and subsequent immunosuppression, lacks effective phase-specific...

Noninvasive On-Skin Biosensors for Monitoring Diabetes Mellitus.

Diabetes mellitus represents a major global health issue, driving the need for noninvasive alternati...

A Study of Spontaneous Self-Injurious Behavior and Neuroimaging in Rhesus Macaques.

Nonsuicidal self-injury (NSSI) demonstrates escalating prevalence among adolescents as a maladaptive...

Machine Learning-based Classification of Adrenal Tumors Using Clinical, Hormonal, and Body Composition Data.

OBJECTIVE: Accurate diagnosis of adrenal tumors, including mild autonomous cortisol secretion (MACS)...

Toward a unified pipeline for natural product discovery: tools and strategies for NRPS and PKS pathway exploration and engineering.

Covering: up to 2025.Non-ribosomal peptide synthetases and polyketide synthases are modular biosynth...

Robustness of steroidomics-based machine learning for diagnosis of primary aldosteronism: a laboratory medicine perspective.

OBJECTIVES: Use of machine learning (ML) in diagnostics offers promise to optimise interpretation of...

Estimation of Overall Cyclosporine Exposure Using Machine Learning.

BACKGROUND: Cyclosporine (CsA), an immunosuppressant widely used in solid-organ transplantation, req...

Osteoarthritis progression pattern based on patient specific characteristics using machine learning.

This study aimed to identify key factors associated with different progression patterns of early ost...

Application of machine learning reveals diagnostic biomarkers related to pyroptosis in Alzheimer's disease and analysis of immune infiltration.

BackgroundAlzheimer's disease (AD) is characterized by complex pathological mechanisms, with pyropto...

Integrating bulk and single cell sequencing data to identify prognostic biomarkers and drug candidates in HBV associated hepatocellular carcinoma.

Hepatitis B virus (HBV) infection is a major driver of hepatocellular carcinoma (HCC), yet the mecha...

Opportunistic computed tomography (CT) assessment of osteoporosis in patients undergoing transcatheter aortic valve replacement (TAVR).

UNLABELLED: CT-based opportunistic screening using artificial intelligence finds a high prevalence (...

Artificial intelligence-based diabetes risk prediction from longitudinal DXA bone measurements.

Diabetes mellitus (DM) is a serious global health concern that poses a significant threat to human l...

Machine learning to forecast rituximab responses for paediatric immune thrombocytopenia: Forging a path towards personalized medical care.

Primary immune thrombocytopenia (ITP) is an autoimmune disorder characterized by decreased platelet ...

Deep Learning for Osteoporosis Diagnosis Using Magnetic Resonance Images of Lumbar Vertebrae.

This work uses T1, STIR, and T2 MRI sequences of the lumbar vertebrae and BMD measurements to identi...

Reshaping transplantation with AI, emerging technologies and xenotransplantation.

Organ transplantation remains the sole definitive treatment for many forms of end-stage organ failur...

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