Nir is a Professor of Computer Science and of Life Sciences at the Hebrew University of Jerusalem. Prof. Friedman pioneered the use of probabilistic graphical models in reverse engineering of regulatory networks from high-throughput biological assays. In the last decade he shifted his focus to studying molecular mechanisms of transcription and chromatin by combination of novel high-throughput experiments and analysis. He examines these questions both in basic science context and in application to medical diagnosis and decision-making. Prof. Friedman has published more than 150 papers in peer-reviewed journals and conferences. He is the recipient of multiple awards, including the Michael Bruno Memorial Award (Yad Hanadiv), the Alexander von Humboldt Research Award, and three Advanced Researcher ERC grants. Prof. Friedman co-authored a widely used textbook on probabilistic graphical models.
Clinical Dx Showcase:
Hebrew University: The largest and oldest research university in Israel. Senseera: Startup company developing liquid biopsy assay.
Cell-free chromatin liquid biopsy
cfChIP-seq is a new informative modality for liquid biopsy
The PMWC 2023 Data Applications in Clinical Diagnostics Showcase will provide a 15-minute time slot for selected organizations, including commercial companies, clinical testing labs, and medical research institutions, to present their latest advancements, insights, applications, and technologies to an audience of clinicians, leading investigators, academic institutions, pharma and biotech, investors, and potential clients. We will learn about new technologies and findings that promise expedited, cost-effective, and accurate clinical diagnosis for early disease detection, treatment decisions, and disease prevention.