Date and TimeTitle
Jun 24, 2021
10:08am - 10:48am (Eastern)
Keynote - Reimagine Tomorrow, Today: Establishing Drug Development as a Patient-Centric Learning Health Network

We will explore the need to reimagine biopharma to better enable clinical discovery, drug development, and the commercialization of drug therapies in a post-COVID-19 world.

Jun 24, 2021
10:50am - 11:45am (Eastern)
Moving from Theory to Practice: Dispelling the Hype of AI

The AI “experiment” is over and has moved into practical applications to drive innovation in medicine. In this lively panel discussion, you’ll hear from scientists on the leading edge about how they are leveraging AI/ML in practice to improve human health outcomes. With precision medicine poised to transform patient care, the big data revolution in healthcare and drug development has taken center stage. Yet, the promise of precision medicine hinges on the ability to reduce the complex interconnections of large, multi-omic datasets into useful biological information. These experts will illuminate how the adoption of breakthrough, biologically-validated AI/ML approaches have resulted in evidence-based success with the potential to understand virtually any disease in much greater detail.

Jun 24, 2021
11:55am - 12:55pm (Eastern)
From Population to Personal – The AI Opportunity to Impact Health and Treatments in Chronic Disease

The promise of precision medicine and personalized care to improve patient outcomes and individual wellness continues to entice, however progress outside cancer and rare disease has been slow. This panel will look at the potential for AI and precision medicine to impact chronic disease such as respiratory, neurodegenerative, neuropsychiatric and cardiometabolic disorders. We will discuss how AI can accelerate diagnosis, identification of genetic disease risks and development of new targeted treatments.

Jun 24, 2021
12:58pm - 1:19pm (Eastern)
Enabling the Next Generation of Clinical Trials with AI

Artificial intelligence poses both unique opportunities and challenges as it revolutionizes healthcare through enablement of next generation clinical trials, reduced operational costs and delivery of improved patient care. In this talk, Dr. Ocampo will provide an understanding of the considerations that pharmaceutical and healthcare companies must address when using artificial intelligence to advance personalized medicine. Addressing these opportunities comprises Roche’s holistic approach to applying machine learning to digital pathology for enablement of advanced personalized medicine.

Jun 24, 2021
1:26pm - 1:42pm (Eastern)
How AI Can Improve Decision Making

You make hundreds of decisions every day. What is a good decision? Each of these decisions can determine the quality of care. This talk explains how integrated data and artificial intelligence can help make better decisions in diagnosis and therapy.

Jun 24, 2021
1:45pm - 2:02pm (Eastern)
Introduction to the Alliance for AI in Healthcare

The Alliance for Artificial Intelligence in Healthcare (AAIH) is an international advocacy organization dedicated to the responsible adoption and application of AI/ML in healthcare. Our members represent all healthcare sectors, including drug R&D, digital health, medical devices, healthcare delivery, data science & technology providers with a shared goal of improving the state of healthcare globally through AI-enabled solutions.  In 2021 our initiatives are in the areas of data access, regulatory frameworks, fairness, bias and equity, and ML/AI standards.

Jun 24, 2021
2:05pm - 2:38pm (Eastern)
Keynote – Accelerating Genomic Discoveries with AI and Machine Learning

The golden era of machine learning has arrived. With large genomic and multi-omic datasets at the center of both precision and personalized medicine, life sciences organizations need to evolve their AI and machine learning efforts from pilot experiments into fully operational and practical applications that accelerate discovery and drive innovation in genomics. In this keynote presentation, Amazon’s Brian Donnelly will share practical insights and real-world examples of how leading institutions are leveraging AI/ML every day to accelerate genomic analysis and improve health outcomes for patients.