Area of research
Artificial Intelligence · Reproductive Medicine
Research interest
Research interests include AI in cancer detection, Ovarian cancer diagnosis and treatment, EEG and Brain-Computer Interfaces, and Cancer Genomics and Diagnostics.
Abstract 77: AI-driven 3D spatial transcriptomics for 3D tumor microenvironment mapping in prostate adenocarcinoma.
Molecular and Genetic Characterization of MHC Deficiency Identifies EZH2 as Therapeutic Target for Enhancing Immune Recognition
Interfaces of Malignant and Immunologic Clonal Dynamics in Ovarian Cancer
The driver landscape of sporadic chordoma
Divergent modes of clonal spread and intraperitoneal mixing in high-grade serous ovarian cancer
Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study
Dynamics of genomic clones in breast cancer patient xenografts at single-cell resolution
Distinct evolutionary trajectories of primary high‐grade serous ovarian cancers revealed through spatial mutational profiling
The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups
The clonal and mutational evolution spectrum of primary triple-negative breast cancers
DriverNet: uncovering the impact of somatic driver mutations on transcriptional networks in cancer