Hemophilia

Predictive value of machine learning for radiation pneumonitis and checkpoint inhibitor pneumonitis in lung cancer patients: a systematic review and meta-analysis.

Some studies have developed machine learning (ML) models for the prediction of pneumonitis following...

Boosting Checkpoint Blockade Immunotherapy with T Cell Membrane Redox Homeostasis Regulation and Deep Learning Enhanced NIR-II Imaging.

Immune checkpoint blockade therapy has revolutionized clinical oncotherapy by intercepting immunosup...

Discovery of SARS-CoV-2 papain-like protease inhibitors through machine learning and molecular simulation approaches.

The papain-like protease (PLpro), a cysteine protease found in severe acute respiratory syndrome cor...

Profiling antigen-binding affinity of B cell repertoires in tumors by deep learning predicts immune-checkpoint inhibitor treatment outcomes.

The capability to profile the landscape of antigen-binding affinities of a vast number of antibodies...

Predicting Affinity Through Homology (PATH): Interpretable binding affinity prediction with persistent homology.

Accurate binding affinity prediction (BAP) is crucial to structure-based drug design. We present [Fo...

HEalth Record Optimization for Identifying Candidates for HIV PRe-Exposure Prophylaxis: A Community-Informed Approach to Model Development.

Electronic health record (EHR)-based models to identify individuals who may benefit from pre-exposur...

Artificial Intelligence in Hemophilia Management: Revolutionizing Patient Care and Future Directions.

Recent advancements in artificial intelligence (AI) hold significant promise for transforming hemoph...

AI-driven discovery of brain-penetrant Galectin-3 inhibitors for Alzheimer's disease therapy.

Galectin-3 (Gal-3) has emerged as a critical regulator of neuroinflammation and a promising therapeu...

Deep learning assisted non-invasive lymph node burden evaluation and CDK4/6i administration in luminal breast cancer.

Precise lymph node evaluation is fundamental to optimize CDK4/6 inhibitor therapy in luminal breast ...

Formative evaluation of the acceptance of HIV prevention Artificial Intelligence chatbots by Black gay, bisexual, and other men who have sex with men in the Southern United States: Focus group study.

Gay, bisexual, and other men who have sex with men (MSM) account for 60% of new HIV infections among...

Neddylation status determines the therapeutic sensitivity of tyrosine kinase inhibitors in chronic myeloid leukemia.

BCR::ABL1-targeting tyrosine kinase inhibitors (TKIs) dominate the treatment of chronic myeloid leuk...

Artificial intelligence-enabled opportunistic identification of immune checkpoint inhibitor-related adverse events using [F]FDG PET/CT.

Gasdermin D drives the systemic storm and mortality after trauma with hemorrhage to a greater degree in biological females than males.

Severe injury accompanied by hemorrhagic shock triggers an early release of cell constituents into t...

Factors Influencing the Binding of HIV-1 Protease Inhibitors: Insights from Machine Learning Models.

HIV-1 protease inhibitors are crucial for antiviral therapies targeting acquired immunodeficiency sy...

CDKN1A and EGR1 are key genes for endoplasmic reticulum stress-induced ferroptosis in MASH.

Metabolic dysfunction-associated steatohepatitis (MASH) is a complex liver disease whose pathogenesi...

Investigating the Mechanisms of Pazopanib-induced Hepatotoxicity: Insights from Network Toxicology, Microarray Analysis, and Machine Learning.

BACKGROUND: Pazopanib is an oral multi-kinase inhibitor that is effective in treating various tumors...

Oral ENPP1 inhibitor designed using generative AI as next generation STING modulator for solid tumors.

Despite the STING-type-I interferon pathway playing a key role in effective anti-tumor immunity, the...

Metabolic reprogramming and immune microenvironment profiling in clear cell renal cell carcinoma: implications for prognosis, targeted therapy, and drug resistance.

Clear cell renal cell carcinoma (ccRCC) is the most prevalent form of kidney cancer, distinguished b...

HR-SC-an academic-developed machine learning framework to classify HRD-positive ovarian cancer patients and predict sensitivity to olaparib.

BACKGROUND: High-grade serous ovarian cancer (OC) patients with defects in the homologous recombinat...

Development and validation of a nomogram for differentiating immune checkpoint inhibitor-related pneumonitis from pneumonia in patients undergoing immunochemotherapy: a multicenter, real-world, retrospective study.

BACKGROUND: Immune Checkpoint Inhibitor-related Pneumonitis (CIP) exhibits high morbidity and mortal...

Investigation of the Significance of Blood Signatures on Sepsis-Induced Acute Lung Injury in Sepsis Within 24 Hours.

Sepsis is an infection-induced dysregulated cellular response that leads to multiorgan dysfunction....