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Session 4: Innovative Uses of Alternative Data Sources
Session Chair(s)
Pritibha Singh, MBA, MSc
Senior Manager, Corporate Affairs Analytics & Insights
Novartis AG, Switzerland
Advancements in use of big data, including applications such as historical controls and synthetic arms, enabled by applications of AI and machine learning, continue to transform clinical trials and research. While the aim continues to be to leverage all data to generate insights, these new approaches come with challenges due to use of data from multiple modalities. Emerging examples of combining multimodal data to generate insights and drive decision making will be shared, and the possibilities that exist through use of these advancements in data use and application will be explored.
Learning Objective : - Describe what different types of data modalities in healthcare can be combined
- Recognize what sorts of insights drive decision-making from multimodal data
- Discuss applications of AI and Machine Learning in healthcare
Speaker(s)
Speaker
Pritibha Singh, MBA, MSc
Novartis AG, Switzerland
Senior Manager, Corporate Affairs Analytics & Insights
HOME: A Pilot Natural History Study of Metachromatic Leukodystrophy to Augment Controls for Regulatory Consideration
Hussein Ezzeldin, PhD
FDA, United States
Senior Staff Fellow, OBE, CBER
Historical Control Borrowing in Clinical Trial Analyses
Duncan Rotich, PhD
Bristol-Myers Squibb Company, United States
Biostatistician
Speaker
Jo Aggarwal, MBA
Wysa, United States
Founder/CEO