用于精准医疗和预测性细胞存活结果的多尺度数字孪生.pdf

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1、ORNL is managed by UT-Battelle LLC for the US Department of EnergyMultiscale Digital Twins for Precision Medicine and Predictive Cell Survival Outcomes Anuj J.Kapadia,PhD Distinguished Research Scientist,Section HeadAdvanced Computing in Health Sciences Oak Ridge National Laboratory Sept 16,2024NY S

2、cientific Data Summit 20242 2Medical digital twins that capture multiple scalesA virtual representation of youShould behave like a the real humanMultimodal Anatomy,Physiology,GenotypePhenotype,Biology,()MultiscaleMolecular to whole bodySingle human to whole populationImage from iStockphotos3 3A virt

3、ual human populationCancer treatment is massively complex.High variability in outcome.Cannot test treatments in patients due to ethical concerns.Our solution:We will build an HPC computational tool to provide personalized outcome predictions in cancer treatment.Based on detailed virtual patient(i.e.

4、,anatomy,physiology,perfusion),tumor biology(growth,damage,repair),interactions with molecular agents(MD)Train and validate against patient data from clinical partners Create deployable tool that can be used by clinicians,researchers,hospital systems for real-time clinical guidance and outcomes pred

5、ictioneXtended CArdiac Torso(XCAT)phantoms,E.Samei and P.Segars,Duke University 4 4Integrated into a Multiscale Computational EnvironmentSubcellularMulti-cellWhole bodyDNA damage,repairCell-specific responseInter-and intra-cellular effectsBiochemical response Bystander effectMulticellular tumor grow

6、thAnatomy,physiology,Perfusion,Organ systemsAbsorbed dose5 5Illustrative result:External beam tumor irradiationTime Multicell tumor growth modelExternal beam irradiation protocolsChromatin structureFluorescence In Situ Hybridization(FISH)plots showing DNA misrepairInman,Houri,Gounley,Agasthya,Kapadi