Area of research
Genetics · Hematology
Research interest
Research interests include Myeloproliferative Neoplasms: Diagnosis and Treatment, Hemoglobinopathies and Related Disorders, AI in cancer detection, and Acute Myeloid Leukemia Research.
Artificial intelligence in hematology
Safety and efficacy of bromodomain and extra-terminal (BET) inhibitor INCB057643 in patients (pts) with relapsed or refractory myelofibrosis (r/r-MF) and other advanced myeloid neoplasms: A phase (Ph) 1 study.
Preliminary data from the Phase I/II study of nuvisertib, an oral investigational selective PIM1 inhibitor, in combination with momelotinib showed clinical responses in patients with relapsed/refractory myelofibrosis
Slideflow: deep learning for digital histopathology with real-time whole-slide visualization
Deep learning generates synthetic cancer histology for explainability and education
Integration of clinical features and deep learning on pathology for the prediction of breast cancer recurrence assays and risk of recurrence
Deep learning applications in visual data for benign and malignant hematologic conditions: a systematic review and visual glossary
Uncertainty-informed deep learning models enable high-confidence predictions for digital histopathology
Pan-cancer image-based detection of clinically actionable genetic alterations
Clinical, laboratory, and genetic risk factors for thrombosis in sickle cell disease
Author Correction: Pan-cancer image-based detection of clinically actionable genetic alterations
Pan-cancer image-based detection of clinically actionable genetic alterations
Deep learning detects virus presence in cancer histology