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08:00
Coffee & Registration
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09:00
Applications of AI in Pharma Stage: Chair Welcome
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09:15
Opening Keynote: Mastering the Health Data Quality and Interoperability Pain Point
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09:45
End-to-End Genetic Drug Development Enabled by the AI Workbench
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10:15
Increasing Efficiency for Life-Saving Drugs
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10:40
Morning Networking Break
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11:00
Applying AI and NL for Personalized Medicine
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11:30
The Technology Pipeline for Bringing Drugs to Fruition
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12:00
Panel Discussion: How to Prepare Your Organization to Roll out ML and AI
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12:45
Lunch & Networking
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13:45
Mining Drug Labels to Avoid Adverse Events
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14:20
Roundtable Discussions
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15:15
Afternoon Networking Break
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15:45
Realizing the Potential of Big Data, AI and ML in Pharma
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16:15
Predict Adverse Drug Events
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16:40
AI for Target Identification
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17:10
Closing Chair Remarks
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17:15
Networking Reception
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18:15
End of Day One
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08:00
Coffee & Registration
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09:00
Research, Advancements and Future Trends - Chair Welcome
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09:15
Panel Discussion: Overcoming the Trust and Ethical Implications of AI in Healthcare
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10:00
Amplifying Data from Medical Imaging With Deep Learning
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10:30
Cutting-Edge AI and ML Tech for Medicine: What’s Next?
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10:55
Morning Break
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11:15
Connecting Radiology Imaging and Genetic Data for Cancer Patients Using a Robust AI-Based Software Platform
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11:45
The Future of AI in Oncology
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12:15
Lunch & Networking
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13:15
Discussion Group: Best Practices for AI Implementation in Healthcare
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14:00
Discussion Group: Overcoming the Clinical and AI Knowledge Gap
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14:45
Closing General Session: Future Trends of AI and ML in Healthcare
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15:15
Close of AI in Healthcare Summit