Steroids

Identification and validation of NETs-associated biomarkers in osteoporosis with diabetes.

Osteoporosis and diabetes represent major global public health challenges. Neutrophil extracellular traps (NETs) serve as key components of the innate immune system by capturing and eliminating pathogens. This exploratory study aimed to preliminarily identify biomarkers associated with NETs in osteoporosis with diabetes and to provide initial insights into underlying molecular mechanisms. A transc...

Protocol for a global electronic Delphi on integrating artificial intelligence into solid organ transplantation.

Artificial intelligence (AI) is increasingly recognized as a transformative force in the field of solid organ transplantation. From enhancing donor-recipient matching to predicting clinical risks and tailoring immunosuppressive therapy, AI has the potential to improve both operational efficiency and patient outcomes. Despite these advancements, the perspectives of transplant professionals - those ...

Detection of sample swapping in anti-doping investigations using machine learning.

The substitution of a urine sample that may result in an adverse analytical finding with a previously collected, clean sample is strictly prohibited u...

Immune checkpoint molecules beyond PD-1 and CTLA-4: emerging targets in autoimmune diseases and cancer immunotherapy.

BACKGROUND: Immune checkpoint molecules are pivotal regulators of immune activation and tolerance, playing critical roles in cancer, autoimmunity, inf...

Molecular and Pharmacogenetic Marker Evaluation in Relation to the Toxicity and Clinical Response of Acute Lymphoblastic Leukemia Treatment in Indian Children (MPGx-INDALL): Protocol for a Prospective Observational Cohort Study.

BACKGROUND: Understanding interindividual variability in treatment response and toxicity is essential for optimizing outcomes in pediatric acute lymph...

A metabolomics-driven machine learning model for osteoporosis risk prediction.

Osteoporosis, marked by decreased bone mineral density (BMD), poses a major public health concern by increasing fracture risk, lowering quality of lif...

Comprehensive Multiomics Characterization of Perineural Invasion in Cervical Cancer Reveals Diagnostic Markers, Molecular Drivers, and Therapeutic Strategies.

UNLABELLED: Perineural invasion (PNI) is an important pathologic feature of cervical cancer that is associated with poor prognosis and provides key in...

Discovery of Novel MLKL PROTAC Degraders for the Treatment of Hepatocellular Carcinoma via Promoting Parthanatos.

Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, primarily due to its low immunogenicity and immunosuppre...

Influence of blood transfusion on outcomes in patients with gastric cancer.

Chen et al's research provides valuable data supporting the cautious use of transfusions during gastric cancer surgery. However, to interpret causalit...

Use of artificial intelligence and radiomics for diagnosis and prediction of osteoporotic fractures: a systematic review.

AIM: Osteoporosis (OP) is a prevalent metabolic bone disease causing millions of fractures annually, leading to significant healthcare and economic bu...

Loop of N2-polarized neutrophils and exhausted CD8 + T cells induces immunotherapy resistance in NSCLC.

While neutrophils represent a prominent myeloid component in non-small cell lung cancer (NSCLC), the specific immunosuppressive functions of N2-polari...

[Care for uncontrolled asthma in Germany - with focus on Magdeburg and Mannheim regions].

Description of treatment and prescription patterns among asthma patients in the regions of Magdeburg (MD) and Mannheim (MA) compared nationwide.We ana...

Genetic and clinical determinants of tacrolimus accumulation in early liver transplantation: evidence for a combined genotype-antibiotic effect.

BACKGROUND: Tacrolimus is a first-line immunosuppressant essential for preventing graft rejection after liver transplantation, but its narrow therapeu...

Artificial intelligence-assisted spatial omics-based biomimetic nanoplatform for intelligent and precise intervention in the immunosuppressive core region of ovarian cancer.

Ovarian cancer (OC) ranks among the most aggressive malignancies of the female reproductive system. The immunosuppressive tumor microenvironment (TME)...

A metabolic-immune subtype of breast cancer defined by G6PD and SHMT2: From single‑cell dissection to dual-targeted therapy.

Breast cancer heterogeneity limits the precision of current prognostic and therapeutic strategies, underscoring the need for molecular frameworks that...

Molecular-level understanding of the aging bone and regeneration mechanisms using computational methods.

Bone degeneration diseases, such as osteoporosis, are skeletal disorders characterized by diminished bone mass and increased susceptibility to fractur...

Clinical implementation of AI for vertebral fracture detection in CT aligned with fracture liaison services: high prevalence of undiagnosed vertebral fractures.

UNLABELLED: We assessed feasibility and effectiveness of AI-based VF screening in CT, integrated with a local FLS. The system identified VFs in 14% of...

GOLD 2026: Transforming COPD Management with Early Intervention, Multi-dimensional Assessment, and Personalized Care.

The 2026 report from the Global Initiative for Chronic Obstructive Lung Disease (GOLD) introduces substantial conceptual and practical updates to the ...

Precision immunotherapies for systemic lupus erythematosus: From pathogenic targets to translational horizons.

Systemic lupus erythematosus (SLE) is a heterogeneous autoimmune disorder in which aberrant B-cell activation, persistent autoantibody production, and...

Identification of core genes mediating the association between obesity and hepatocellular carcinoma: A bioinformatics study based on mitochondrial metabolism and immune pathways.

PURPOSE: Obesity is strongly associated with hepatocellular carcinoma (HCC), yet the molecular mechanisms linking them remain unclear. This study aime...