Hematology

Hemophilia

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

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SFTSV induces liver ferroptosis through m6A-related ferritinophagy.

Severe fever with thrombocytopenia syndrome (SFTS) is a widely prevalent infectious disease caused b...

Dual-Mode Detection of Trypsin and Screening of Trypsin Inhibitors on the Basis of a Colorimetric/Fluorescence Sensing Probe.

Trypsin is a specific and reliable diagnostic biomarker of pancreatic function and pathological chan...

Efficacy and Safety of rVIII-SingleChain in Surgical Prophylaxis.

INTRODUCTION: RVIII-SingleChain is a B-domain-truncated factor VIII construct with a covalent bond b...

Effects of Hepatic or Renal Impairment on Pharmacokinetics of Fruquintinib.

Fruquintinib (FRUZAQLA) is a highly selective tyrosine kinase inhibitor of all three vascular endoth...

Study on the effect and mechanism of PM on the expression of alzheimer's-like lesions related proteins in SH-SY5Y cells.

Fine particulate matter (PM) is recognized as one of the most harmful environmental pollutants to hu...

HIV-1 suppression and rare dolutegravir resistance in antiretroviral-experienced people with HIV in Liberia.

BACKGROUND: Increasingly, persons with HIV in Liberia are receiving antiretroviral therapy containin...

Biocatalytic production of a monoamine oxidase B/catechol-O-methyltransferase inhibitor from piperine by engineered P450 BM3.

The single-step biotransformation of the natural compound piperine into a known dual inhibitor of mo...

Comprehensive analysis of Syzygium cumini L. pomace extract as an α-amylase inhibitor: In vitro inhibition, kinetics, and computational studies.

Type 2 diabetes mellitus (T2DM) is a widespread metabolic disorder characterized by impaired regulat...

A cascade nanoreactor based on metal azolate framework integrated natural enzyme for α-glucosidase activity assay and inhibitor screening.

Enzyme cascades have attracted widespread attention owing to the exceptional specificity and efficie...

Advancing antimalarial drug discovery: ensemble machine learning models for predicting PfPK6 inhibitor activity.

Malaria is a significant global health challenge, causing high morbidity and mortality. The rise of ...

Ligand-Based Drug Discovery Leveraging State-of-the-Art Machine Learning Methodologies Exemplified by Cdr1 Inhibitor Prediction.

Artificial intelligence (AI) is revolutionizing drug discovery with unprecedented speed and efficien...

Exploring 4 generation EGFR inhibitors: A review of clinical outcomes and structural binding insights.

Epidermal growth factor receptor (EGFR) is a potential target for anticancer therapies and plays a c...

Repurposing of the Syk inhibitor fostamatinib using a machine learning algorithm.

TAM (TYRO3, AXL, MERTK) receptor tyrosine kinases (RTKs) have intrinsic roles in tumor cell prolifer...

Febrile neutropenia management in high-risk neutropenic patients: a narrative review on antibiotic prophylaxis and empirical treatment.

INTRODUCTION: Although febrile neutropenia (FN) remains a major cause of morbidity and mortality in ...

Systematic review of infodemiology studies using artificial intelligence: social media posts on HIV preexposure prophylaxis.

OBJECTIVES: To explore how artificial intelligence (AI) can enhance infodemiology, which distributes...

Insights into phosphorylation-induced influences on conformations and inhibitor binding of CDK6 through GaMD trajectory-based deep learning.

The phosphorylation of residue T177 produces a significant effect on the conformational dynamics of ...

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