Hemophilia

Developments in the design and therapeutic applications of GSK3β inhibitors.

Glycogen synthase kinase-3β (GSK3β) has emerged as one of the most thoroughly validated therapeutic targets in modern drug discovery, with dysregulation implicated in neurodegenerative diseases, metabolic disorders, cancer, psychiatric conditions, and inflammatory pathologies. This review provides a comprehensive and critical overview of recent advances in GSK3β inhibitor design, encompassing ATP-...

Guideline-Aligned Machine Learning for Predicting Ondansetron Administration at the End of Anaesthesia: Explainable Decision Support for PONV Prophylaxis.

Artificial Intelligence (AI) and Clinical Practice Guidelines (CPGs) both aim to support clinical decision-making but may provide conflicting suggestions. This manuscript presents a Guideline-Aligned Machine Learning (GAML) model to predict ondansetron administration at the end of anaesthesia, based on Gan et al.'s Fourth Consensus Guidelines for the Management of Postoperative Nausea and Vomiting...

Targeting metabolic dysregulation in postmenopausal breast cancer: Synergistic effects of nutrition-based interventions and exercise on molecular and cellular pathways.

Postmenopausal females diagnosed with breast cancer who are undergoing aromatase inhibitor (AI) therapy often exhibit metabolic disturbances, which ma...

Blocking MOXD1-derived ACOX1 peroxisome trafficking suppresses metabolic dysfunction-associated steatohepatitis.

BACKGROUND: Metabolic dysfunction-associated steatohepatitis (MASH) has become a major global health burden yet effective pharmacological treatments r...

Immune Checkpoint Inhibitor-Associated Cardiovascular Toxicity: Mechanisms, Clinical Manifestations, and Clinical Impact.

Immune checkpoint inhibitors (ICIs) represent a class of novel anticancer agents that enhance T cell-mediated recognition and elimination of tumor cel...

Xiao Zhen Fang mitigates cutaneous toxicity by inhibiting PANoptosis: Insights from untargeted metabolomics and transcriptomics.

BACKGROUND: Epidermal growth factor receptor (EGFR) inhibitors and other targeted therapies frequently cause cutaneous toxicities, impairing patient q...

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...

A multi-agent system for automating scientific discovery.

Scientific discovery is driven by the iterative process of observation, hypothesis generation, experimentation, and data analysis. Despite recent adva...

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...

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...

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...

Identification of drug candidates against glioblastoma with machine learning and high-throughput screening of heterogeneous cellular models.

Glioblastoma multiforme (GBM) is an aggressive primary brain tumour that presents significant treatment challenges due to its complex pathology and he...

Multimodality Imaging in Myocarditis: Integrating Etiology, Diagnosis, and Risk Stratification.

PURPOSE OF REVIEW: Myocarditis presents with heterogenous clinical manifestations and remains diagnostically challenging due to nonspecific biomarkers...

Multimodal interpretable deep learning for transcriptome-informed precision oncology and drug mechanism analysis.

Precision oncology faces critical challenges in interpreting complex cellular signals and predicting drug responses across heterogeneous cancer enviro...

Exploring human GABA transporter 3 binders for epilepsy through quantum reactivity analysis, molecular dynamics, machine learning prediction, and network pharmacology.

CONTEXT: Drug-resistant epilepsy (DRE) remains a major therapeutic challenge, affecting millions of patients globally who do not respond to convention...

CT-based radiomic markers to predict late-onset seizures after traumatic brain injury.

Post-traumatic epilepsy (PTE) is a major long-term complication of traumatic brain injury (TBI), but early risk prediction remains imprecise. Radiomic...

Tubulointerstitial Diseases: An Updated Framework for Diverse and Emerging Entities.

Tubulointerstitial diseases represent a heterogeneous group of kidney diseases with diverse causes and overlapping histopathologic and immunophenotypi...

Insights into SIRT2 inhibition from machine learning-assisted multi-level screening of the NCI database.

The nicotinamide adenine dinucleotide (NAD+)-dependent deacetylase Sirtuin 2 (SIRT2) plays a regulatory function in diverse cellular processes and has...

Artificial intelligence-driven rational design and optimization of a potent terpenoid-derived PCSK9 inhibitor.

Hypercholesterolemia is a pivotal risk factor for cardiovascular diseases, and its effective management is critical to reducing cardiovascular event i...

Prenatal serotonin reuptake inhibitor exposure and maternal depression symptoms are associated with altered fetal brain and placental development.

Maternal mental health is associated with fetal neurodevelopment. Identifying effective treatments for maternal psychiatric conditions is a public hea...