Hematology

Hemophilia

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

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Showing 43-63 of 4,984 articles
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...

(4)
Aug 2026 42623896
Machine Learning-Based Screening of Optimal miRNA Targets Enabled by a Cytosolic Delivery Carrier for Augmenting Cancer Therapy.

Nucleic acid therapeutics offer promise for precision cancer treatment, but are limited by inaccurat...

(1)
Aug 2026 42615487
Targeting FAR1 to inhibit intestinal macrophage ferroptosis: repurposing irinotecan as a novel sepsis therapy.

Intestinal barrier breakdown is a key driver of sepsis-related multiple organ dysfunction; however, ...

(1)
Aug 2026 42616198
Deep learning-driven discovery and optimization of natural LSD1 inhibitors for the treatment of Alzheimer's disease.

Alzheimer's disease (AD) is a prevalent neurodegenerative disorder with limited effective disease-mo...

(3)
Aug 2026 42612268
Discovery and activity evaluation of fungal chitin synthase inhibitors via virtual screening.

Chitin synthase is a fungal-specific and highly selective antifungal target, and its inhibitors repr...

(2)
Aug 2026 42607446
AI-driven dual-task prediction model for co-stratifying efficacy and toxicity in NSCLC immunotherapy.

While effective against non-small cell lung cancer (NSCLC), PD-1 inhibitors can induce immune-relate...

(4)
Aug 2026 42594060
Deep learning-assisted virtual screening of a large chemical library for selective GSK3β inhibitors.

Glycogen synthase kinase-3β (GSK3β) is a serine/threonine kinase involved in neurodegenerative, neur...

(3)
Aug 2026 42584522
Machine Learning Models Integrating CYP2C19 Genotypes for Long-Term Risk Prediction and Personalized Antiplatelet Therapy Selection in Myocardial Infarction.

Machine learning (ML) models integrating genetic and clinical data show promise for personalizing an...

(1)
Aug 2026 42586055
Identification of novel PKR inhibitory chemotypes via integrated molecular modelling and machine learning.

Interferon-inducible RNA-dependent protein kinase (PKR) is an emerging therapeutic target involved i...

(3)
Aug 2026 42582948
A Bayesian Survival Model to Support the Selection of the Best Hematopoietic Stem Cell Donor.

The selection of a donor for allogeneic hematopoietic stem cell transplantation (HSCT) is a complex,...

(5)
Aug 2026 42580665
Clinical Research on Microecological Landscape for Infection Risk Stratification in Newly Diagnosed Patients with Hematological Conditions.

INTRODUCTION: Infection is a common and potentially fatal complication during the treatment of hemat...

(2)
Aug 2026 42560632
Uncovering the molecular landscape of young-onset diffuse gastric cancer: A relieff-based feature selection analysis on RNA-Seq data.

BACKGROUND: Diffuse Gastric Cancer (DGC) is an aggressive subtype with a poor prognosis and a lack o...

(3)
Aug 2026 42561036
Artificial Intelligence based identification of druggability of essential hypothetical proteins in Plasmodium falciparum.

Malaria, caused by Plasmodium falciparum is a deadly disease and remains a global health concern. Wi...

(3)
Aug 2026 42556607
Radiomics Model Predicts Efficacy of First-Line CDK4/6 Inhibitor Combined with Endocrine Therapy in HR+/HER2- Advanced Breast Cancer.

INTRODUCTION: The combination of CDK4/6 inhibitors and endocrine therapy is the first-line standard ...

(6)
Aug 2026 42557206
Integrative multi-omics reveals a prognostic and therapeutic landscape of synthetic lethality-associated signatures in lung adenocarcinoma.

Lung adenocarcinoma (LUAD) exhibits considerable heterogeneity and therapeutic resistance. Here, we ...

(1)
Aug 2026 42597961
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),...

(1)
Aug 2026 42477885
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 - me...

(3)
Jul 2026 42536225
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