Hematology

Hemophilia

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

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A Bioprinted Head and Neck Cancer Organoid-Based Platform for Evaluating Multimodal Therapies

Treatment of advanced head and neck squamous cell carcinoma (HNSCC) often involves radiotherapy comb...

Pathway-Centric Integration of CRISPR Fitness with Molecular Features Draws Cancer State Maps

Cancer cells display heterogeneous pathway activity that shapes therapeutic vulnerability, but mappi...

Learning activator-inhibitor dynamics at the cell cortex with neural likelihood ratio estimation

A key question in cell biology is how cell-scale organization emerges from a given set of molecular ...

Spatial remodeling of the urothelial carcinoma tumor microenvironment shapes response to neoadjuvant atezolizumab

The ABACUS study was a single arm, phase II trial evaluating neoadjuvant atezolizumab in operable ur...

CT-Based Deep Foundation Model for Predicting Immune Checkpoint Inhibitor-Induced Pneumonitis Risk in Lung Cancer

Background: Immune checkpoint inhibitors (ICIs) have revolutionized cancer therapy but can cause ser...

Multi-Objective Reinforcement Learning for Generating Covalent Inhibitor Candidates

Rational design of covalent inhibitors requires simultaneously optimizing multiple properties, such ...

Identification of compounds that repress DUX4 expression in facioscapulohumeral muscular dystrophy

Facioscapulohumeral muscular dystrophy (FSHD) is caused by epigenetic dysregulation of the disease l...

Explainable AI for end-to-end pathogen target discovery and molecular design

Drug discovery is often constrained by target identification, a bottleneck especially acute in antim...

Multimodal Machine Learning Reveals the Genomic and Proteomic Architecture of Heart Failure with Preserved Ejection Fraction

Heart failure with preserved ejection fraction (HFpEF) affects over 30 million people and lacks dise...

Results of a large scale study of the binding of 50 type IIinhibitors to 348 kinases: The role of protein reorganization

Kinase family proteins constitute the second largest protein class targeted in drug development effo...

BEACON: predicting side effects and therapeutics outcomes to drugs by Bridging knowlEdge grAph with CONtextual language model

Biomedical knowledge graphs encode millions of relationships between drugs, proteins, pathways, and ...

Deep Learning-Guided Discovery of Celestolide as a Natural Allosteric Inhibitor Targeting CYP51 and Its Application in Strawberry Preservation.

Most CYP51 inhibitors act competitively and are prone to resistance, whereas allosteric inhibitors h...

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Jul 2025 40576401
A deep learning model for structure-based bioactivity optimization and its application in the bioactivity optimization of a SARS-CoV-2 main protease inhibitor.

Bioactivity optimization is a crucial and technical task in the early stages of drug discovery, trad...

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Jul 2025 40239482
Use of machine learning techniques to predict poor survival after hematopoietic cell transplantation for myelofibrosis.

With the incorporation of effective therapies for myelofibrosis (MF), accurately predicting outcomes...

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Jun 2025 40145857
[Progress in neoadjuvant immunotherapy for locally advanced rectal cancer].

Neoadjuvant chemoradiotherapy (NACRT) is the standard treatment for locally advanced rectal cancer (...

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Jun 2025 40550665
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