Conference Presentation, Lecture
Matt Might: The Algorithm for Precision Medicine
- Data utilization is projected to be recognized by the end of the 21st century as the most significant advancement for improving human health.
- Precision medicine implementation requires every physician recommendation to include a proof of efficacy to mitigate legal liability and ensure acceptance.
- The speaker intends to transition the precision medicine research service into the UAB Health System to facilitate scaled clinical care.
- Clinical trials for NGLY1 deficiency are scheduled to commence at the Mayo Clinic within two weeks.
- Specific therapeutic recommendations generated by the Medicanin system include sulforaphane for NGLY1 deficiency, Xylitol for Fanconi anemia, and the repurposing of ovarian cancer drugs for genetically identified prostate cancer cases.
- A knowledge graph and logic programming framework are planned to generate 145 treatment suggestions for overactive bladder, while Kappa, a graph rewriting language, will be used to model enzyme reaction systems.
- Diagnostic logic is expected to function in reverse to produce ranked lists of potential diseases based on symptom constellations.
- Future strategies involve reprocessing full biomedical literature using modern Natural Language Processing to enhance knowledge graphs and constructing proofs to underpin patient recommendations.
- Patients with rare or undiagnosed conditions are anticipated to utilize a research consultation service to identify the next steps in their diagnostic or therapeutic journey.
- Genetic tumor profiling aims to identify mutations driving cancer and discover counteracting medications.
- Approximately 500 individuals worldwide are estimated to have NGLY1 deficiency.
- Immediate recommendations for many precision medicine cases are predicted to prioritize scientific experiments to generate data rather than immediate pharmaceutical intervention.
- The speaker maintains optimism regarding the gradual resolution of complex disorders through targeted mechanistic analysis and asserts that non-actionable situations can be addressed through further scientific inquiry.