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Latest AI and machine learning research in steroids for healthcare professionals.

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Development and internal validation of an interpretable machine learning model for predicting vancomycin-induced nephrotoxicity in hospitalized children.

INTRODUCTION: Vancomycin is widely used for severe Gram‑positive infections in children, but vancomycin‑induced nephrotoxicity (VIN) limits its safe application. Existing prediction models rely primarily on traditional logistic regression with limited discriminative performance in pediatric populations, and machine learning (ML) approaches have not been systematically evaluated. AIM: This study ai...

Aug 25 2026 42640374

Development and validation of a multidimensional machine learning model for predicting delayed graft function in deceased donor kidney transplantation.

PURPOSE: Delayed graft function (DGF) remains a significant complication following deceased donor kidney transplantation. This study aimed to develop and validate a multidimensional machine learning model for predicting DGF by integrating clinical data, machine perfusion parameters, donor scores, and histopathological scores. METHODS: A retrospective analysis was conducted on 961 deceased donor ki...

Aug 24 2026 42635724
Preventing fragility fractures: AI-based opportunistic osteoporosis detection in routine CT ​.

UNLABELLED: This study shows that an artificial intelligence tool can identify patterns of reduced bone mineral density in routine CT scans that would...

Aug 24 2026 42635729
Apigenin Alleviates Ligamentum Flavum Ossification by Dual-Targeting CA9 and CDK6 and Modulating Calcium/PI3K-Akt Signaling.

While apigenin shows therapeutic potential for bone-related disorders like osteoporosis and osteoarthritis, its mechanisms in regulating ligamentum fl...

Aug 22 2026 42631587
Osteosarcopenia Revisited: From Mechanisms to Management.

Sarcopenia and osteoporosis are characterized by insufficient mass and function of skeletal muscle and bone, and often co-occur in older persons, a co...

Aug 22 2026 42631701
Integrative single-cell and machine-learning analysis identifies LGALS1 as a macrophage-associated diagnostic and prognostic biomarker in hepatocellular carcinoma.

BACKGROUND: Hepatocellular carcinoma (HCC) is characterized by marked heterogeneity and an immunosuppressive microenvironment in which tumor-associate...

Aug 22 2026 42632122
Integrative single-cell sequencing and machine learning analyses identify chronic inflammation and cancer-associated fibroblast subsets as drivers of adverse outcomes in ovarian cancer.

BACKGROUND: Ovarian cancer remains the deadliest gynecological malignancy, with neoadjuvant chemotherapy (NACT) often leaving residual fibroblast-enri...

Aug 22 2026 42632123
Corticosteroid Stewardship: Can it help us avoid the corticosteroid trap? Journal of Allergy and Clinical Immunology: In Practice.

With an almost 20-year experience with asthma biologics, it is now clear that a major impact of all available asthma biologics is the opportunity to r...

Aug 22 2026 42632540
Revisiting clinical scoring tools for the diagnosis of thrombotic thrombocytopenic purpura (TTP).

Thrombotic thrombocytopenic purpura (TTP) is a rare, life-threatening hematologic emergency that leads to increased complexities and mortality due to ...

Aug 21 2026 42629530
Associations between sex steroid hormones and female malignancies: A cross-sectional analysis of NHANES data.

Sex steroid hormones, including estradiol (E2), estrone (E1), follicle-stimulating hormone (FSH), and luteinizing hormone (LH), have been implicated i...

Aug 21 2026 42629713
Robot-assisted rehabilitation therapy for adhesive capsulitis: A pilot randomized controlled trial on clinical and patient-reported outcomes.

BACKGROUND: Adhesive capsulitis, commonly known as frozen shoulder, presents with pain and restricted movement. Treatments include physical therapy fo...

Aug 21 2026 42629747
Machine learning of sunitinib resistance genes reveals that SP5 regulates angiogenesis and sunitinib resistance in RCC via the VEGFA/AKT axis.

BACKGROUND: Sunitinib resistance remains a major clinical challenge in renal cell carcinoma, and the underlying molecular mechanisms are incompletely ...

Aug 20 2026 42623896
Unclassifiable Invasive Pulmonary Aspergillosis in the Intensive Care Unit: Insights From a Multicenter, Retrospective Cohort Study in France (2022-2024).

BACKGROUND: Suspected invasive pulmonary aspergillosis (IPA) is increasingly treated in intensive care, including in patients without classical immuno...

Aug 19 2026 42682890
Osteoporosis prediction in primary Sjögren's syndrome: development and external validation of a machine-learning comparison model.

OBJECTIVES: Osteoporosis and fragility fractures are clinically important complications of primary Sjögren's syndrome (pSS) that may accelerate functi...

Aug 19 2026 42616665
Nanotechnology-based immunotherapy: integrating Artificial Intelligence (AI) with current strategies in combating brain cancer disease.

Brain cancer is one of the most challenging malignancies and a major contributor to worldwide morbidity and mortality. Glioblastoma, the most aggressi...

Aug 18 2026 42613493
Microbiome-Driven Precision Medicine in Asthma: Roles of Targeted Therapies and Artificial Intelligence.

OBJECTIVE: To evaluate the current evidence regarding airway and gut microbiome alterations in asthma pathogenesis and therapeutic response, and to ex...

Aug 18 2026 42613688
Exploring the causal relationship and pathogenesis of intracranial aneurysms with osteoporosis based on Mendelian randomization and bioinformatics study.

INTRODUCTION: Intracranial aneurysms (IA) and osteoporosis (OP) are both common conditions among the elderly population. Observational studies suggest...

Aug 18 2026 42611067
Radiotherapy and immunotherapy in cancer treatment: mechanisms of clinical synergy.

Synergizing radiotherapy (RT) with immune checkpoint inhibitors has emerged as a promising strategy for solid tumors. RT acts as a potent immunomodula...

Aug 17 2026 42606129
Multi-Omics Integration Identifies a CDH3-Associated Malignant Epithelial State and Immunosuppressive Niche to Predict Prognosis in Thymic Epithelial Tumors.

Thymic epithelial tumors (TETs) are rare and heterogeneous malignancies whose aggressive epithelial states and microenvironmental organization remain ...

Aug 15 2026 42603286
A novel adrenomedullin receptor signaling-based prognostic model predicts immunosuppressive microenvironment and informs therapeutic stratification in hepatocellular carcinoma: A retrospective bioinformatics study.

The adrenomedullin receptor signaling pathway plays a crucial role in tumor progression, yet its comprehensive implication in hepatocellular carcinoma...

Aug 14 2026 42601689
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