Latest AI and machine learning research in hemophilia for healthcare professionals.
BACKGROUND: Treatment-free remission (TFR) has become a treatment goal for chronic myeloid leukemia (CML). This study aimed to define precise conditions for treatment discontinuation and to develop TFR prediction models in a Chinese population. PATIENTS AND METHODS: This study collected data from 11 centers involving 802 cases of tyrosine kinase inhibitor (TKI) discontinuation in patients with CML...
Generative artificial intelligence (AI) is now widely applied in medicinal chemistry, with detailed case studies emerging in the literature. Here, we describe an early application of REINVENT, AstraZeneca's in-house generative molecular design platform, to identify new inhibitor scaffolds for hematopoietic progenitor kinase 1 (HPK1). REINVENT was deployed at two stages of the project to address di...
Dual specificity tyrosine phosphorylation-regulated kinase 1A (DYRK1A), a member of the CMGC kinase family, regulates diverse cellular processes and i...
Predicting small molecule-protein interactions across nonhomologous proteins remains challenging because shared ligand recognition is often not eviden...
INTRODUCTION: Acid-related gastrointestinal diseases, particularly gastroesophageal reflux disease (GERD) and peptic ulcer disease (PUD), remain major...
Hypoxia, a hallmark of solid tumors, drives malignant progression and represents a major therapeutic challenge. Metabolic reprogramming induced by hyp...
BACKGROUND AND PURPOSE: Microglia are central regulators of neuroinflammation in depression. Drivers involved remain incompletely understood. Sigma no...
The pseudoknot secondary structure in SARS-CoV-2 RNA is essential for regulating protein synthesis through - $$ - $$ 1 programmed ribosomal frameshi...
Accurate prediction of molecular properties is essential for accelerating drug discovery, yet current deep learning methods generally lack reliable un...
Designing novel core scaffolds for small molecules is an important yet challenging task in medicinal chemistry, particularly during the lead-generatio...
RATIONALE: After inadequate response to first-line biologic or targeted synthetic (b/ts) disease-modifying antirheumatic drug (DMARD) therapy in adult...
Interpretable machine learning approaches to quantitative structure-activity relationship (QSAR) modelling are increasingly applied in drug discovery,...
BACKGROUND: Inappropriate empirical antimicrobial therapy (IEAT) significantly increases mortality in patients with resistant Gram-negative bacteremia...
Dual antiplatelet therapy (DAPT), combining aspirin with a P2Y12 inhibitor, remains central to secondary prevention after acute coronary syndrome and ...
BACKGROUND: Inherited PLN (phospholamban) R14del variants cause dilated cardiomyopathy with a high burden of malignant ventricular arrhythmias. Howeve...
Pyroptosis is a major contributor to the pathophysiology of acute liver failure (ALF), a condition with high mortality. Although N‑acetylcysteine (NAC...
Ulcerative colitis (UC) is a chronic inflammatory bowel disease with limited mechanism-based therapies, and ferroptosis-an iron-dependent lipid peroxi...
BACKGROUND: A major challenge facing prostate cancer (PCa) cells is oxidative stress, yet the precise role and underlying mechanisms remain inadequate...
Poly(adenosine diphosphate-ribose) polymerase 1 (PARP1) is a pivotal target for treating homologous recombination-deficient cancers through the mechan...
Quantitative prediction of inhibitor potency can accelerate early-stage drug discovery. Recently, data-driven approaches have gained widespread intere...