2023 Plenary Keynote Program
2024 Coming Soon…
Tuesday, May 16
Plenary Keynote Organizer's Remarks4:00 pm
Innovative Practices Awards
Joseph Cerro, Independent Consultant
Chris Dwan, Independent Consultant, Dwan, LLC
Allison Proffitt, Editorial Director, Bio-IT World
The Innovative Practices Awards recognizes and celebrates innovation that advances life sciences research. Bio-IT World is currently accepting entries for the 2023 Innovative Practices Awards, a competition
designed to recognize partnerships and projects pushing our industry forward. Winners will be announced in mid-April 2023, recognized during the Tuesday May 16 Plenary Keynote Program, and scheduled to give
a 30-minute podium presentation about their project during the conference. The deadline for entry is March 3, 2023. For more details about the Awards and to submit an application, visit the official Bio-IT World Innovative Practices Awards page: https://www.bio-itworld.com/Award/.
David Gosalvez, PhD, Executive Director, Strategy & Informatics Portfolio, PerkinElmer Informatics
The Promise of Data, Analytics, and Technology: Fueling Scientific and Medical Breakthroughs
Anastasia Christianson, PhD, Vice President, Global Head of AI, ML, Analytics, and Data, Pfizer Inc.
Edward Cox, Head & General Manager, Digital Health & Medicines (DHM), Pfizer Inc.
The 21st century has been referred to as the Century of Biology. With 90% of the world’s 97 zettabytes of data generated in the past 2 years and 30% of today’s data being healthcare related, how are
we using data technology, and advanced analytics (artificial intelligence, machine learning, and deep learning) to advance our understanding of disease and deliver “breakthroughs that change patients'
Welcome Reception in the Exhibit Hall with Poster Viewing5:45 pm
Wednesday, May 17
Santanu Sen, Vice President, Healthcare & Life Sciences, Virtusa
PLENARY KEYNOTE PRESENTATION:8:15 am Federated Futures: How the Largest Federated Learning Effort in Medicine Will Inform Our Next Steps
Is a federated learning model sufficient to handle data from 71 institutions and more than 6,000 patients located on six continents? Researchers from Penn Medicine and Intel Labs say yes. An interdisciplinary team
created the largest to-date global federated learning effort to develop an accurate and generalizable machine learning model for detecting glioblastoma borders. We will share what we learned about creating and
maintaining such a federation, how the software infrastructure evolved over the course of the study, and how this work will empower the future of high-quality, precision clinical care worldwide.
Coffee Break in the Exhibit Hall with Poster Viewing9:30 am
Thursday, May 18
Registration and Morning Coffee7:30 am
Presentation to be Announced8:00 am
Assessing Innovation: How Pharma Makes Tech Investment Decisions
Aaron Mann, Chief Executive Officer, Clinical Research Data Sharing Alliance
This panel session will assemble senior leaders who evaluate new technology adoption. We will hold an interactive discussion to help provide transparency in the evaluation and decision-making process for assessing
and investing in new technologies. Themes we will cover include: 1) process for evaluating, piloting, and scaling new technologies and technology approaches; 2) how an organization evaluates an emerging
technology vendor landscape; 3) when and how a formal buying process becomes required, and 4) identifying key stakeholders, decision-makers, and gatekeepers.