Area of research
Molecular Biology · Artificial Intelligence
Research interest
Research interests include RNA modifications and cancer, AI in cancer detection, Asymmetric Synthesis and Catalysis, and RNA Research and Splicing.
Prediction of non-muscle invasive bladder cancer recurrence using machine learning of quantitative nuclear features
Prediction of early recurrence of hepatocellular carcinoma after resection using digital pathology images assessed by machine learning
TGF-β Signaling in Lung Health and Disease
TBX4 is involved in the super-enhancer-driven transcriptional programs underlying features specific to lung fibroblasts
Quantitative diagnosis of breast tumors by morphometric classification of microenvironmental myoepithelial cells using a machine learning approach
YAP and TAZ modulate cell phenotype in a subset of small cell lung cancer
Association of variations in HLA class II and other loci with susceptibility to EGFR-mutated lung adenocarcinoma
Nrf2 Activation Protects against Solar-Simulated Ultraviolet Radiation in Mice and Humans
Fission yeast Lem2 and Man1 perform fundamental functions of the animal cell nuclear lamina
CD99 is a novel prognostic stromal marker in non‐small cell lung cancer