利用 AI 實現精準醫療的下一次飛躍.pdf

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1、Harnessing AI for Precision Medicines Next LeapDr.Puthen Veettil Jithesh FRSBAssociate Dean for Educationjveettilhbku.edu.qaWorld Summit AI 2024Predicting response to therapyGene expression signatures using machine learningJithesh PV,Allen W,Coyle V,Proutski I,Stevenson L,Fenning C,Stewart G,Longley

2、 D and Johnston P(2008)Comparative analysis of supervised classification methods in predicting response to chemotherapy in colorectal cancer patients.NCRI Cancer Conference 2008.NCRI,Birmingham Precision Medicine Early detection of individuals at risk of developing diseases,for improving preventive

3、measures Enabling precise diagnosis of patients,with the aim of providing appropriate therapy Predicting the prognosis and treatment response,to enhance efficacy and reduce adverse effects of treatment Development of novel therapeuticsBastaki K,Umlai UKI and Jithesh PV(2023)Personalized Medicine.In

4、Rahman M(Ed)Metabolomics A path towards personalized medicine,Elsevier Academic PressPrecision MedicineThe precise characterization of health states,disease states,and therapeutic options for affected individuals using multi-omics,imaging and phenotypic data,combined with medical history,social/beha

5、vioral determinants,and the environmental knowledgeBastaki K,Umlai UKI and Jithesh PV(2023)Personalized Medicine.In Rahman M(Ed)Metabolomics A path towards personalized medicine,Elsevier Academic PressDisease Risk PredictionHuang,Y.J.,Chen,C.H.,&Yang,H.C.(2024).AI-enhanced integration of genetic and

6、 medical imaging data for risk assessment of Type 2 diabetes.Nature Communications,15(1),4230.AI-based integration of genetic and medical imaging data for risk assessment of Type 2 DiabetesIdentifying facial phenotypes of genetic disorders using deep learning:DeepGestaltGurovich,Y.,Hanani,Y.,Bar,O.,

7、Nadav,G.,Fleischer,N.,Gelbman,D.,.&Gripp,K.W.(2019).Identifying facial phenotypes of genetic disorders using deep learning.Nature medicine,25(1),60-64Precision DiagnosisA foundation model for drug repurposing:TxGNNHuang,K.,Chandak,P.,Wang,Q.,Havaldar,S.,Vaid,A.,Leskovec,J.,.&Zitnik,M.(2024).A founda

8、tion model for clinician-centered drug repurposing.Nature Medicine,1-13Drug RepurposingA deep learning library for drug response prediction:DeepDRJiang,Z.,&Li,P.(2024).DeepDR:a deep learning library for drug response prediction.Bioinformatics,40(12),btae688.Drug Response PredictionDrug Discovery&Des

9、ignAbramson,J.,Adler,J.,Dunger,J.et al.Accurate structure prediction of biomolecular interactions with AlphaFold 3.Nature 630,493500(2024).GenAI can create novel protein sequences with specific properties for designing antibodies,enzymes,vaccines,and gene therapyAlphaFold 3:Accurate structure predic

10、tion of biomolecular interactionsSynthetic DataGenAI can create synthetic patient and healthcare dataUseful for training AI models,simulating clinical trials,or studying rare diseases without access to large real-world datasetsSynthetic Patient GenerationAn open-source,synthetic patient generator th

11、at models the medical history of synthetic patientshttps:/synthetichealth.github.io/synthea/#homePatient Care PersonalizationChatbots using GenAI can provide responses based on a single interaction.A person makes a query and the chatbot uses natural language processing to replyAgentic AI uses sophis

12、ticated reasoning and iterative planning to autonomously solve complex,multi-step problems https:/ AI for Precision Medicine:ChallengesInterconnectivity between the various issues that will need to be addressed in order to advance the benefits of AI for precision medicine https:/www.phgfoundation.org/wp-content/uploads/2024/02/Artifical-intelligence-for-genomic-medicine.pdfAI&Precision Medicine:Market outlookRevenue,2023(US$M)$196,633.9Forecast,2030(US$M)$1,811,747.3CAGR,2024-203037.3%AI&Precision Medicine:Market outlook“AI will not replace you.A person using AI will.”