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DTSTART;TZID=America/Los_Angeles:20260716T110000
DTEND;TZID=America/Los_Angeles:20260716T120000
DTSTAMP:20260618T235534Z
CREATED:20260612T113815Z
LAST-MODIFIED:20260618T235534Z
UID:10594-1784199600-1784203200@thebiocalendar.com
SUMMARY:The Site AI Playbook: Vendor Tools\, Homegrown Solutions & What's Working
DESCRIPTION:This webinar gives clinical research sites a practical look at how AI is being used today across source documentation\, regulatory compliance\, finance\, eSource\, and other site operations. CRIO’s Mike Wenger will join a panel of clinical site operators to discuss what’s working\, what’s overhyped\, and how sites can evaluate AI opportunities with more confidence. \nAttendees will walk away with the ability to:\n• Decide when to build\, configure\, or buy AI solutions\n• Identify high-impact AI use cases for site operations\n• Evaluate vendor claims and spot potential red flags\n• Apply real examples from eSource\, document review\, compliance\, and financial workflows\n• Use AI to improve speed\, quality\, and compliance across clinical trials
URL:https://thebiocalendar.com/event/the-site-ai-playbook-vendor-tools-homegrown-solutions-whats-working/
LOCATION:Online webinar
CATEGORIES:Webinar
ATTACH;FMTTYPE=image/png:https://thebiocalendar.com/wp-content/uploads/2026/06/07-16-26-CRIO-eBlast-700x200-1.png
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DTSTART;TZID=America/Los_Angeles:20260716T120000
DTEND;TZID=America/Los_Angeles:20260716T130000
DTSTAMP:20260709T105826Z
CREATED:20260709T105826Z
LAST-MODIFIED:20260709T105826Z
UID:10756-1784203200-1784206800@thebiocalendar.com
SUMMARY:An Agentic AI Approach to Predicting Immunotherapy Response
DESCRIPTION:Immune checkpoint inhibitors have transformed cancer care\, yet only about 1 in 5 patients respond to PD-1 blockade. Predicting who will respond remains one of oncology’s biggest unsolved challenges. \nIn this webinar\, scientists from Mithrl and Elephas will share how combining functional tumor profiling with agentic AI can reduce that uncertainty\, integrating real-time cytokine data from live tumor biopsies with large-scale genomic datasets to reveal the immune signatures that drive response. Attendees will get a firsthand look at how this approach was applied across 131 human tumor specimens and what it uncovered. \nKey topics include: \n\nWhat these findings mean for biomarker strategy\, patient selection\, and immunotherapy drug development\nHow Elephas’ elive platform captures real-time tumor responses to checkpoint inhibitors using live tumor fragments from patient biopsies\nHow Mithrl’s AI Scientific Decision Engine integrates multiple data types to generate biological insights\, without the manual data wrangling or pipeline engineering such analyses typically require\nThe distinct immune profiles and cytokine signatures identified across patient subgroups\, validated against public genomic datasets
URL:https://thebiocalendar.com/event/an-agentic-ai-approach-to-predicting-immunotherapy-response/
LOCATION:Online webinar
CATEGORIES:Webinar
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