{"id":1950,"date":"2026-06-12T15:00:51","date_gmt":"2026-06-12T15:00:51","guid":{"rendered":"https:\/\/trustedainews.com\/?p=1950"},"modified":"2026-06-12T15:00:51","modified_gmt":"2026-06-12T15:00:51","slug":"the-future-label-building-ai-innovation-backward-from-adoption-life-sciences-today-podcast-episode-65","status":"publish","type":"post","link":"https:\/\/trustedainews.com\/?p=1950","title":{"rendered":"The Future Label: Building AI Innovation Backward from Adoption \u2013 Life Sciences Today Podcast Episode 65"},"content":{"rendered":"<p>We&#8217;re thrilled to return for a new installment of the Life Sciences Today Podcast, brought to you by Healthcare IT Today. Today&#8217;s guest is Ayelet Geva, who heads Innovation and Business Development at the Jusidman Cancer Center, Sheba Medical Center. The majority of oncology breakthroughs fail not in the laboratory, but in the chasm between clinical validation and everyday clinical practice. Geva has observed what distinguishes the solutions that expand successfully from those that get stuck: it&#8217;s not the science. It&#8217;s about whether you&#8217;ve tackled the tough questions \u2014 around who foots the bill, whose workflows will need to change, and how adoption will look beyond a controlled pilot \u2014 before even running your first trial. In this episode, Geva explains how her team takes a distinct approach to innovation: they begin with the intended use, value proposition, and \u201cfuture label,\u201d then work backwards to build the supporting evidence, data, partnerships, and adoption strategies. <\/p>\n<p>Here are the main topics discussed in this episode of the Life Sciences Today podcast: Could you share your path to Sheba Medical Center? What does a typical work week look like for you? What is your personal interpretation of value creation?<\/p>\n<p>\u00a0<\/p>","protected":false},"excerpt":{"rendered":"<p>We&#8217;re thrilled to return for a new installment of the Life Sciences Today Podcast, brought to you by Healthcare IT&hellip;<\/p>\n","protected":false},"author":2,"featured_media":1951,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12],"tags":[],"class_list":["post-1950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aihealth"],"_links":{"self":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/posts\/1950","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1950"}],"version-history":[{"count":0,"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/posts\/1950\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=\/wp\/v2\/media\/1951"}],"wp:attachment":[{"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/trustedainews.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}