按照美国国家科学院报告操作生物医学数字孪生：有关机器学习和数据质量的问题.pptx

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1、,Operationalizing Biomedical Digital Twins compliant with the National Academies Report:Issues regarding machine learning and data quality,Gary An,MD,FACS,Department of Surgery,University of Vermont,New York City,NY,Sept 16,2024,New York Scientific Data Summit 2024:Addressing Data Challenges in Digi

2、tal Twins,A talk in 3 parts,Part 1:The NASEM Definition and Biomedical Digital Twins(BDTs),Part 2:Problems with data-centric BDTs,Part 3:Fine,you want to make a data-centric BDTData quality approaches=Attribution of slides to Davera Gabriel from Evidentli,Inc,Presentation from 22nd International Con

3、ference on Complex Systems(ICCAI 2024,https:/iccai.org/),National Academies of Science,Engineering and Medicine Report,“DEFINITION OF A DIGITAL TWIN modified from a definition published by the American Institute of Aeronautics and Astronautics(AIAA Digital Engineering Integration Committee 2020):A d

4、igital twin is a set of virtual information constructs that mimics the structure,context,and behavior of a natural,engineered,or social system(or system-of-systems),is dynamically updated with data from its physical twin,has a predictive capability,and informs decisions that realize value.The bidire

5、ctional interaction between the virtual and the physical is central to the digital twin.“,NASEM Elements of DT EcosystemThe“DT Loop”,How does this map onto Biomedical Digital Twins(BDTs)?,Axioms of“True”Precision Medicine,Axiom 1:Patient A is not the same as Patient B(Personalization)Axiom 2:Patient

6、 A at Time X is not the same as Patient A at Time Y(Precision)Axiom 3:The goal of medicine is to treat,prognosis is not enough(Treatment).Axiom 4:Precision medicine should find effective therapies for every patient and not only to identify groups of patients that respond to medicine(Inclusiveness),A