Steroids

Quantitative Analysis of Retinal Fluid by a Deep Learning Model in Uveitic Macular Edema.

OBJECTIVE: To assess whether artificial intelligence (AI)-derived fluid volume provides prognostic value for visual outcomes in uveitic macular edema (UME) and to compare model performance to central macular thickness (CMT) measurements alone. DESIGN: Secondary subanalysis of patients with UME in the First-line Antimetabolites as Steroid-sparing Treatment (FAST) clinical trial using a deep learnin...

Machine Learning-Based Prediction of Central Line-Associated Bloodstream Infection in Children with Acute Leukemia.

Central line-associated bloodstream infection (CLABSI) is a frequent and severe complication in children undergoing treatment for acute leukemia, substantially compromising therapeutic outcomes. This study aimed to develop a machine learning-based predictive model to facilitate the early identification of patients at high risk. A retrospective analysis was performed using clinical data from 407 pe...

PFAS is associated with perineural invasion in triple-negative breast cancer with a potential role for Cathepsin D dysregulation: a multi-omics and experimental study.

Per- and polyfluoroalkyl substances (PFAS) are persistent pollutants linked to breast cancer (BC), but their role in perineural invasion (PNI) of trip...

Targeting tumor-associated G-protein coupled receptors: beyond single-axis inhibition toward multidimensional regulation.

G protein-coupled receptors (GPCRs) serve as central hubs in tumor signal transduction and microenvironment regulation. However, their therapeutic exp...

Prospects and Challenges of Personalized Immunotherapy in Breast Cancer Treatment and Long-term Cancer Management.

Breast cancer is highly heterogeneous,and different molecular subtypes exhibit significant variations in their response to immunotherapy.While signifi...

Multimodal Artificial Intelligence for Early Detection and Precision Management of Inflammatory and Infiltrative Cardiomyopathies.

BACKGROUND: Inflammatory and infiltrative cardiomyopathies, including cardiac sarcoidosis, transthyretin amyloidosis, and autoimmune myocarditis, are ...

Synthetic Inducible Bacteria Normalize the Microenvironment of Refractory Tumors, Potentiating Checkpoint Inhibitor Responses.

Immunotherapy has transformed cancer treatment but remains ineffective in many solid tumors, largely due to the immunosuppressive tumor microenvironme...

Few-shot learning-driven discovery of Lutein suppresses Th1-mediated inflammation via glucose metabolism.

The discovery of selective immunosuppressants for T cell-mediated diseases like Ulcerative Colitis (UC) is a significant challenge. While traditional ...

Consensus statement on the application of artificial intelligence in osteoporosis screening and management: perspectives from the Asia-Pacific region.

UNLABELLED: Osteoporosis is a major and growing health concern in the Asia-Pacific region, y et it remains widely underdiagnosed and undertreated due ...

Integrative multi-omics analysis identifies a core ferroptosis signature and validates resveratrol as a novel inducer in pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) has a dismal prognosis due to treatment resistance and an immunosuppressive, fibrotic microenvironment. Ferrop...

Integrating spatial and single-cell transcriptomics via machine learning to characterize efferocytosis in hepatocellular carcinoma prognosis and immunotherapy.

BACKGROUND: The intratumoral heterogeneity and immunosuppressive microenvironment of hepatocellular carcinoma (HCC) significantly limit therapeutic ef...

Beyond eGFR and Albuminuria: Biological Pathways and Multiomics in Cardiovascular-Kidney-Metabolic Disease.

Cardiovascular-kidney-metabolic disease (CKM) represents a growing public health challenge driven by the convergence of obesity, diabetes, and cardiov...

Efficacy of short-course bevacizumab for brain tumor radiation necrosis with a volumetric analysis.

PURPOSE: Radiation necrosis (RN) is a challenging complication of cranial irradiation, often requiring corticosteroids for management. This study eval...

Immunological Drug-Drug Interactions in Immune Checkpoint Inhibitor Therapy: Mechanisms, Clinical Evidence, and Artificial Intelligence.

PURPOSE OF REVIEW: Immune checkpoint inhibitors (ICIs) have transformed cancer therapy, producing durable responses across multiple malignancies. Howe...

Single-cell and machine learning reveal ROS-associated heterogeneity in hepatocellular carcinoma for precision medicine.

BACKGROUND: Reactive oxygen species (ROS) are critical regulators of tumor development and progression, yet their clinical significance and cellular m...

Retinal biological age correlates with bone mineral density and fracture risk score and predicts incident osteoporosis.

Osteoporosis often lacks accessible screening tools, leading to underdiagnosis and increased fracture risk. We explored the potential of a retinal agi...

Adrenal gland dysfunction in males with cluster headache.

BACKGROUND: Cluster headache is associated with compensated hypogonadism in males, suggesting impaired testicular steroidogenesis. It is unknown if ad...

The Combination of Machine Learning and Metabolomics for the Clinical Diagnosis of Hepatocellular Carcinoma.

The early diagnosis of hepatocellular carcinoma (HCC) lacks biomarkers with a high sensitivity and specificity. This study was to find sensitive and s...

Hemovigilance in a Brazilian Amazon blood center: A temporal analysis of 5-year consumption patterns.

BACKGROUND: The transfusion of blood components remains a cornerstone in the management of hematological and onco-hematological diseases. Effective bl...

Single-cell and deep learning identify hypoxia-responsive lncRNAs predicting outcomes in colorectal cancer.

Emerging evidence highlights hypoxia-responsive long non-coding RNAs (lncRNAs) as potential modulators in tumor biology. In this study, we explored th...