Bernard Chen trained in traditional statistics before managing product and analytics teams for companies like Apple, Ubisoft, and Scopely that could generate 100k samples of user data in days. Oncological data is more complicated to acquire and more complicated in its interactions, but the underlying problems for anyone working with data remain the same: 1) Have I asked my questions correctly? 2) Do I have the right data to answer my questions? He co-founded Quantum Insights with Stanford physicist, Marvin Weinstein, in 2017 to apply a quantum mechanics-based algorithm to big data. QI’s algorithm isn’t better than other algorithms - it’s different. That difference frequently identifies un-predicted associations that can be used to classify patients or sub-type diseases for our partners in pharma.
Clinical Dx Showcase:
Quantum Insights Inc.
Quantum Insights uses principles from quantum mechanics to identify diagnostic signatures and improve patient outcomes.
Finding Off-Label Treatments for Rare Diseases
Kidney renal papillary cell carcinoma (KIRP) has no FDA-approved treatment. By clustering cancers in the TCGA, we were able to identify the 5 most-similar cancers. Three drugs were identified that targeted genes which were significant in our classification of KIRP.
The PMWC 2022 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.
- Clinical Dx/Oncology (including Liquid Biopsy)
- Clinical Dx/Cardio Vascular
- Clinical Dx/Nerodegenerative