Hemophilia

Engineering selective amyloid precursor protein inhibitors by machine learning and deep mutational scanning.

Deep mutational scanning (DMS) has proven effective for mapping protein-protein interactions (PPIs), but it cannot provide complete coverage of the mutation landscape, particularly for multi-mutant variants. To address this limitation, we trained machine-learning (ML) models on previously generated DMS data for a stabilized amyloid precursor protein inhibitor (APPI) binding to either of two serine...

Machine learning and cox model-based prediction of CDK4/6 inhibitor outcomes in HR+/HER2 - metastatic breast cancer: a multicenter real-world study.

BACKGROUND: Cyclin-dependent kinase 4/6 inhibitors (CDK4/6is) are standard therapy for HR+/HER2 - metastatic breast cancer (MBC), yet treatment outcomes vary substantially and individualized prognostic tools based on real-world data remain limited. This study evaluated real-world effectiveness and developed prognostic models integrating Cox regression and machine learning. METHODS: This multicente...

Discovery and development of small-molecule inhibitors targeting cytotoxic T lymphocyte associated protein 4 to enhance cancer immunotherapy and reduce side effects.

The immune system plays crucial role to fight against cancer. Still, cancer cells have evolved mechanisms to evade immune responses, especially throug...

AI-driven discovery and validation of a GIPC1 PDZ domain inhibitor for pancreatic ductal adenocarcinoma.

Pancreatic ductal adenocarcinoma (PDAC) remains highly aggressive, with a five-year survival rate under 13.3%, due to late diagnosis, rapid progressio...

Mechanisms, management and prevention of anorectal sexually transmitted infections.

Anorectal bacterial sexually transmitted infections, predominantly chlamydia, gonorrhoea and syphilis, represent a substantial and evolving global hea...

Machine learning-powered qualitative structure properties relationship models for prediction of corrosion inhibition efficiencies of triazoles.

The development of a holistic theoretical framework that can predict the corrosion inhibition efficiency and evaluate the anti-corrosion potentials of...

Machine learning approaches to predict early cardiac immune-related adverse events in patients receiving immune checkpoint inhibitors.

PURPOSE: Immune checkpoint inhibitor (ICI)-induced cardiac immune-related adverse events (cardiac irAEs) are rare yet serious complications. Clinical ...

Artificial intelligence in immune checkpoint inhibitor research: A bibliometric analysis of the landscape.

This bibliometric analysis examines the transformative role of artificial intelligence (AI) in immune checkpoint inhibitor (ICI) research. Using VOSvi...

Cross-modal mapping of cancer stem-like cell plasticity using deep learning.

Cancer stem-like cells (CSCs) play a pivotal role in driving tumor heterogeneity, therapeutic resistance, and disease progression. Despite the power o...

Targeted radionuclide-drug conjugates: Current status and perspectives.

Radionuclide drug conjugates (RDCs) are emerging molecular platforms for diagnostic imaging, targeted radionuclide therapy, and precision-oncology the...

Novel biomarkers for the differential diagnosis of paediatric MYH9-related diseases and immune thrombocytopenia revealed by plasma proteomics.

Differentiating myosin heavy chain 9 (MYH9)-related disease (MYH9-RD) from immune thrombocytopenia (ITP) remains clinically challenging. This study ut...

DINCH Exposure Contributes to Osteoarthritis Pathogenesis via TSPO-Mediated Chondrotoxicity: Evidence from In Silico Prediction to Experimental Validation.

Diisononyl cyclohexane-1,2-dicarboxylate (DINCH), a widely used plasticizer substitute, has been widely detected in human populations and has emerged ...

Retinal Pigment Epithelium and Microglia Transplantation in Age-related Macular Degeneration.

Age-related macular degeneration (AMD) remains a leading cause of irreversible blindness worldwide, characterized by the progressive breakdown of the ...

Global genomic surveillance of β-lactam resistance in Escherichia coli across human, animal, and environmental reservoirs.

BACKGROUND: Escherichia coli poses a global health threat from increasing β-lactam resistance. This study uses genomic and One-Health data to map resi...

Integrated spatially guided transcriptomics and multiplex imaging identify a high-risk CD163+/CD11c-subgroup in diffuse large B-cell lymphoma.

Emerging data identify infiltrating immune cells in diffuse large B‑cell lymphoma (DLBCL) as prognostic biomarkers with tentative implications for the...

Integrated machine learning and structural bioinformatics guided identification of novel molecular scaffolds as renin inhibitors.

Cardiovascular diseases (CVDs) remain the leading cause of death globally, with hypertension as its critical hallmark. The Renin-Angiotensin-Aldostero...

Hypertension-associated DNA methylation signatures and multi-generational epigenetic clocks in Korean adults.

Hypertension is a hallmark of vascular aging; however, the epigenetic link between biological aging and blood pressure remains unclear. This epigenome...

Can artificial intelligence lead the next frontier of hemophilia management and care?

Cardiorenal Syndrome: Pathophysiological Crosstalk Between Heart and Kidney.

Cardiorenal syndrome (CRS) describes the bidirectional deterioration of cardiac and renal function, in which dysfunction of one organ induces or perpe...

AI digital pathology as a key tool providing in-depth understanding of the progression and regression of MASH and fibrosis in male mouse models.

Optimizing murine models for studying Metabolic Dysfunction-Associated Steatohepatitis (MASH) and fibrosis is crucial for understanding disease mechan...