Area of research
Artificial Intelligence · Cancer Research
Research interest
Research interests include Cancer Genomics and Diagnostics, Artificial Intelligence in Healthcare and Education, Machine Learning in Healthcare, and Topic Modeling.
The MI-CLAIM-GEN checklist for generative artificial intelligence in health
Use of a Large Language Model to Assess Clinical Acuity of Adults in the Emergency Department
CORAL: Expert-Curated Oncology Reports to Advance Language Model Inference
A comparative study of large language model-based zero-shot inference and task-specific supervised classification of breast cancer pathology reports
Topic modeling on clinical social work notes for exploring social determinants of health factors
Assessing Large Language Models for Oncology Data Inference From Radiology Reports
Assessing the potential of GPT-4 to perpetuate racial and gender biases in health care: a model evaluation study
Defining incidence and complications of fibrolamellar liver cancer through tiered computational analysis of clinical data
PPM1D mutations are oncogenic drivers of de novo diffuse midline glioma formation
Structural variants shape driver combinations and outcomes in pediatric high-grade glioma
Structural variants shape driver combinations and outcomes in pediatric high-grade glioma
MR Imaging Correlates for Molecular and Mutational Analyses in Children with Diffuse Intrinsic Pontine Glioma
Predictability and persistence of prebiotic dietary supplementation in a healthy human cohort
Copy-number and gene dependency analysis reveals partial copy loss of wild-type SF3B1 as a novel cancer vulnerability
Characterizing genomic alterations in cancer by complementary functional associations
Comprehensive molecular characterization of gastric adenocarcinoma
Pan-cancer genetic analysis identifies PARK2 as a master regulator of G1/S cyclins
Pan-cancer patterns of somatic copy number alteration
Identification of a pan-cancer oncogenic microRNA superfamily anchored by a central core seed motif
Absolute quantification of somatic DNA alterations in human cancer
β-Catenin-Driven Cancers Require a YAP1 Transcriptional Complex for Survival and Tumorigenesis
Cancer Vulnerabilities Unveiled by Genomic Loss