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Virtual Event

2022 年 11 月 14 日 7:00 上午 - 2022 年 11 月 15 日 7:00 下午

Horsham, PA 19044

Data Science Conference

Bridging Data Science and Clinical Development!

Session 2: Mainstreaming Artificial Intelligence (AI) and Machine Learning (ML) in Pharmaceutical Development: How Can We Next-Level AI and ML?

Session Chair(s)

Rebecca  Taha, PhD, MBA

Rebecca Taha, PhD, MBA

Director Biostatistical Consulting

ICON Biotech Solutions, United States

Though the terms Artificial Intelligence (AI) and Machine Learning (ML) are widely used, major scientific advancements in the life sciences are attributable to the technologies that are still in their infancy relative to their potential. This session moves beyond the hype with industry innovators who share their deep experience and technology expertise through real-world examples. From exciting areas of opportunity in clinical development to potentially costly, under-considered problem areas, attendees can expect to broaden their knowledge in this exciting area of transformational technology.

Learning Objective : At the conclusion of this session, participants should be able to:
  • Discuss potential errors that can result from a narrow understanding of the data feeding into AI/ML algorithms
  • Describe the growing areas of opportunity in AI/ML in clinical development, beyond drug discovery

Speaker(s)

Representative Invited

Speaker

Representative Invited

Eli Lilly and Company, United States

Miruna  Sasu, PhD, MBA

Speaker

Miruna Sasu, PhD, MBA

COTA, United States

President and Chief Executive Officer

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