{"@context":"http://iiif.io/api/presentation/3/context.json","id":"https://ualberta.aviaryplatform.com/iiif/v69862ck9w/manifest","type":"Manifest","label":{"en":["AI4Society Dialogues, S2E4 - Predicting cancer to drive early interventions"]},"logo":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","metadata":[{"label":{"en":["Description"]},"value":{"en":["\u003cp\u003eWhat if we had better ways to predict cancer and a tailored plan to intervene early in the process? Dr. Adam Kinnaird is conducting leading edge research in the area of prostate cancer, which affects 1 in 7 men in Canada throughout their life. We talk about his research into early interventions in cancer, why prostate cancer is so hard to diagnose, using AI/ML techniques in precision diagnostics, surgical robots, interdisciplinary research collaboration and why he’s excited about the future of precision medicine.\u003c/p\u003e\r\n\u003cp\u003e“Prostate cancer is a spectrum, [from low to high risk]…my particular research looks at the patient population for low risk prostate cancer…and doing active surveillance. We’re trying to better risk stratify men…we are using advanced imaging techniques, MRI and micro-ultrasound …as well as next generation genetic sequencing… We’re trying to come up with a composite risk score at the individual patient level.” – Adam Kinnaird\u003c/p\u003e\r\n\u003cp\u003e\u003ca href=\"https://forum.ai4society.ca/index.php/Member:Adam.Kinnaird\"\u003eDr. Adam Kinnaird\u003c/a\u003e is Assistant Professor, Faculty of Medicine and Dentistry, surgery department, at the University of Alberta. He is a urological surgeon and graduated as a Vanier Scholar with the Governor General’s Gold Medal at the University of Alberta.  Dr. Kinnaird is an award-winning researcher and recently completed an international fellowship at UCLA.\u003c/p\u003e"]}},{"label":{"en":["Rights Statement"]},"value":{"en":["\u003cp\u003e\u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/\"\u003eAttribution-NonCommercial-NoDerivatives 4.0 International\u003c/a\u003e\u003c/p\u003e"]}},{"label":{"en":["Date"]},"value":{"en":["2022-01-07 (Created)","2023-02-06 (Issued)"]}},{"label":{"en":["Type"]},"value":{"en":["Podcast","Talk"]}},{"label":{"en":["Agent"]},"value":{"en":["Kinnaird, Adam (Presenter)","Ingram, Katrina (Host)"]}},{"label":{"en":["Subject"]},"value":{"en":["Artificial intelligence--Medical applications (Topical)","Machine learning (Topical)"]}},{"label":{"en":["Language"]},"value":{"en":["English"]}}],"summary":{"en":["\u003cp\u003eWhat if we had better ways to predict cancer and a tailored plan to intervene early in the process? Dr. Adam Kinnaird is conducting leading edge research in the area of prostate cancer, which affects 1 in 7 men in Canada throughout their life. We talk about his research into early interventions in cancer, why prostate cancer is so hard to diagnose, using AI/ML techniques in precision diagnostics, surgical robots, interdisciplinary research collaboration and why he\u0026rsquo;s excited about the future of precision medicine.\u003c/p\u003e\r\n\u003cp\u003e\u0026ldquo;Prostate cancer is a spectrum, [from low to high risk]\u0026hellip;my particular research looks at the patient population for low risk prostate cancer\u0026hellip;and doing active surveillance. We\u0026rsquo;re trying to better risk stratify men\u0026hellip;we are using advanced imaging techniques, MRI and micro-ultrasound \u0026hellip;as well as next generation genetic sequencing\u0026hellip; We\u0026rsquo;re trying to come up with a composite risk score at the individual patient level.\u0026rdquo; \u0026ndash; Adam Kinnaird\u003c/p\u003e\r\n\u003cp\u003e\u003ca href=\"https://forum.ai4society.ca/index.php/Member:Adam.Kinnaird\"\u003eDr. Adam Kinnaird\u003c/a\u003e is Assistant Professor, Faculty of Medicine and Dentistry, surgery department, at the University of Alberta. He is a urological surgeon and graduated as a Vanier Scholar with the Governor General\u0026rsquo;s Gold Medal at the University of Alberta.  Dr. Kinnaird is an award-winning researcher and recently completed an international fellowship at UCLA.\u003c/p\u003e"]},"requiredStatement":{"label":{"en":["Attribution"]},"value":{"en":["\u003cp\u003e\u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/\"\u003eAttribution-NonCommercial-NoDerivatives 4.0 International\u003c/a\u003e\u003c/p\u003e"]}},"provider":[{"id":"https://ualberta.aviaryplatform.com/aboutus","type":"Agent","label":{"en":["University of Alberta Library"]},"homepage":[{"id":"https://ualberta.aviaryplatform.com/","type":"Text","label":{"en":["University of Alberta Library"]},"format":"text/html"}],"logo":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/organizations/logo_images/000/000/128/original/UA_Logo_WHT_RGB_%281%29.png?1725471982","type":"Image"}]}],"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/174/895/small/Episode_4.jpg?1680118566","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/86019/file/174895","type":"Canvas","label":{"en":["Media File 1 of 1 - Episode_4_-_Adam_Kinnaird.mp3"]},"duration":2157.79265,"width":640,"height":40,"thumbnail":[{"id":"https://d9jk7wjtjpu5g.cloudfront.net/collection_resource_files/thumbnails/000/174/895/small/Episode_4.jpg?1680118566","type":"Image","format":"image/jpeg"}],"items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/86019/file/174895/content/1","type":"AnnotationPage","items":[{"id":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/86019/file/174895/content/1/annotation/1","type":"Annotation","motivation":"painting","body":{"id":"https://aviary-p-ualberta.s3.wasabisys.com/collection_resource_files/resource_files/000/174/895/original/Episode_4_-_Adam_Kinnaird.mp3?1677005890","type":"Audio","format":"audio/mpeg","duration":2157.79265,"width":640,"height":40},"target":"https://ualberta.aviaryplatform.com/collections/2021/collection_resources/86019/file/174895","metadata":[]}]}],"annotations":[]}]}