Open Protocols

This person has no open protocols at the present moment.

Closed Protocols

This person has no closed protocols at the present moment.

Publications

Publication Name	PubMed ID	Journal
DDN3.0: determining significant rewiring of biological network structure with differential dependency networks.	38902940
Spatial Transcriptomic Analysis of Ovarian Cancer Precursors Reveals Reactivation of IGFBP2 during Pathogenesis.	36206311
VCAM-1 complements CA-125 in detecting recurrent ovarian cancer.	37357306

Interests

Development and translation of biomarkers into clinical in vitro diagnostic tests

Both methodologies and practice in the design and execution of studies and experiments for biomarker discovery and translation which requires the integration of multidisciplinary knowledge.

Machine learning and statistical learning for in vitro diagnostic multivariate index assay (IVDMIA) development

The application of AI/machine/statistical learning to derive multivariate models of biomarkers to improve early detection of cancer has its unique challenges. It is essentially an ill-defined learning problem in that the amount of training data (except for imaging data) are typically insufficient to derive models with decision surfaces that match the complexity and heterogeneity of cancer. The learning process therefore requires the quantitative integration of existing clinical and biological knowledge/data to help to reduce the search space in learning. Dr. Zhang is interested in developing efficient learning algorithms that allows for the numeric infusion of existing data/knowledge.

To update protocols, publications, biomarkers, or science data, please contact the Data Management and Coordinating Center.

Site

Johns Hopkins University

Degree(s)

Ph.D.

Email

zzhang7@jhmi.edu

Person ID

3248

Note

To update contact information, please visit the Data Management and Coordinating Center .