Orly Alter is a USTAR associate professor of bioengineering and human genetics at the Scientific Computing and Imaging Institute and the Huntsman Cancer Institute at the University of Utah, a scientific advisory board member of the American Institute of Physics APL Quantum and the NCI-DOE Cancer Moonshot collaboration on predictive oncology, the principal investigator of the American Institute of Mathematics Quantum Research Community, and the CSO and a co-founder of Prism AI Therapeutics. Her NCI Physical Sciences in Oncology project partially supported her developing quantum mechanics-based multitensor AI/ML and solving the 75-year-old problem of correctly predicting glioblastoma patients’ survival, gene targets, and drug responses from their genomes. As a genetics postdoctoral fellow at Stanford University, she invented the “eigengene” in a top-50 most cited PNAS paper of all time. Her Ph.D. dissertation in applied physics, also at Stanford, was published by Wiley and is recognized as crucial to quantum computing.
Presentation Title:
Quantum Mechanics-Based Multitensor AI/ML Uniquely Able to Discover, Validate, and Interpret Predictors from Small-Cohort Noisy High-Dimensional Multiomic Data
Presentation Abstract:
We have mathematically proven that our AI/ML overcomes the challenges of real-world multiomic data. We have computationally shown that our algorithms, known as comparative spectral decompositions, are uniquely able to discover accurate, precise, actionable, and mechanistically interpretable predictors, applicable to the general population, from the multiomes of as few as 19 patients. We have experimentally demonstrated that our predictors consistently validate across laboratories and sometimes across indications, in federated and imbalanced studies and over time, and outperform all other indicators where they exist.