Biography
Professor Noam Shomron is passionate about using basic science to advance better healthcare. Prof Shomron heads the Genomic Intelligence Research Laboratory at the Faculty of Medicine at Tel Aviv University, after training at MIT. He leads a multidisciplinary team of scientists: biologists, physicians, computer scientists and bioinformaticians. The team develops computational methods for parsing molecular and big-data in the bio-medical field using Artificial Intelligence, successfully publishing more than 150 scientific papers and applying for more than 30 patents. Shomron’s aim is to deepen our understanding of diseases at an early stage, in order to translate information into clinical reality. Shomron is also the Editor of ‘Deep Sequencing Data Analysis’ (Springer); Director of ‘Rare-Genomics’ Israel (NPO); Academic Director of ‘ScienceAbroad’ (NPO); and, Co-founder and Chief Scientific Officer (CSO) of Variantyx which provides clinical interpretation of whole genome sequences.
Clinical Dx Showcase:
Variantyx
Variantyx provides end-to-end Whole Genome Sequencing services based on the Genomics Intelligence bioinformatics platform.
Variantyx’s Genomic Intelligence For Whole Genome Sequencing
Variantyx presents a unique approach for Whole Genome Sequencing analysis based on its Genomic Intelligence platform. Variantyx's mission is to deliver comprehensive, cost-effective genomic testing to patients, physicians, hospitals and commercial labs.
The PMWC 2020 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.