Friday 9/20 at 2:30pm, join the panel on #AI for #Pediatric #Cancer at the 2024 #BrainStormSummit in DC! I will discuss the platform we are building at our @UUtah spin-off, and our multi-tensor AI/ #ML underlying it. The @PrismAIThera peutics, Inc. platform is uniquely able to accelerate #PrecisionMedicine. The multi-tensor AI/ML is uniquely able to identify actionable and mechanistically interpretable predictors from small-cohort and noisy, high-dimensional multi-omic clinical data. Let’s partner up to cure the most devastating diseases! #ArtificialIntelligence #Biomarkers #BrainCancer #DataScience #MachineLearning #MultiTensorDecompositions #SingularValueDecomposition @brainstormsmt @HuntsmanCancer @NCIPhySci @OneU_RAI @UofUNeurosurg @UtahBME @UtahCGM @UtahCOE @UTechLicensing @UUSCI @JesTsai

Meet Asaf Zviran & me, representing @UUtah spinoff @PrismAIThera peutics at #ASCO24! Our platform is your operating system for drug development, biomarker discovery, & #ClinicalTrials, & our team is on a mission to accelerate your precision therapeutics! Typical AI cannot generate effective biomarkers, or predictors, from your real-life, small-cohort, & noisy, multi-omic data. But #PrismAI can! And with #PrismAIInside, your biotech company & health system can too! Our AI extends the mathematics that underlies #quantum mechanics to overcome the typical AI limitations. Our algorithms (i) compare & integrate any data types, of any number & dimensions, & (ii) scale with data sizes. Our models (iii) are interpretable in terms of known biology & batch effects & (iv) correctly predict previously unknown mechanisms. Our prospective & retrospective validation of a genome-wide pattern of DNA copy-number alterations in brain tumors proved that the models discover biomarkers, or predictors, of survival & response to treatment that are (v) the most accurate & precise, (vi) clinically actionable in the general population based upon as few as 50–100 patients, & (vii) are consistent across studies & over time. On Saturday 6/1 from 12:30pm online & at 1:30–4:30pm in Hall A, join me as I discuss two recent @NCIPhySci -funded projects demonstrating the power of our platform. a. #AI / #ML-Derived Mechanistically-Interpretable Whole-Genome #Biomarkers of Patient Survival in Pre-Treatment Primary #Neuroblastoma Tumors & Whole Blood; meetings.asco.org/abstracts-… b. Prospective #Validation from a Retrospective Trial That Validated an AI/ML-Derived Whole-Genome Biomarker as the Most Accurate & Precise Predictor of Survival & Response to Treatment in #Glioblastoma; meetings.asco.org/abstracts-… Thanks as always to our fantastic collaborators, @JesTsai, @PriyaPonnapalli, Elizabeth Newman, Penelope Miron, @KristyLSMisk, @KristinWaite, @NSosonkina, Sara Coppens, Anthony Bryan, @EstevanKiernan, Huanming Yang, Jay Bowen, @GhunwaNakouzi, @NCIJBSloan, Andrew Sloan, & Tiffany Hodges, our amazing program managers, @Nas_Zahir, David Miller, @EMJChavarria, @SEHanlon, & Jennifer Couch, the awesome team at @AltitudeLab, @Chandanananana, Kapil Sharma, & Lauryn Narramore, & the wonderful team at @UTechLicensing, Aaron Duffy, & Eric Paulsen! Reach out to us to schedule a meeting! @UUSCI @HuntsmanCancer @UtahCGM @UtahBME @UtahCOE @UofUNeurosurg @OneU_RAI #ArtificialIntelligence #DataScience #MachineLearning #BrainCancer #Cancer #PrecisionMedicine #Research