The State of AI in Precision Health

We find ourselves at the intersection of Medicine and AI. What will it take to make this convergence effective and successful?

Technology and policy are converging to create unique opportunities for healthcare transformation through artificial intelligence and platforms. Dr. Halamka will discuss Mayo Clinic Platform’s collaborative, privacy-protecting architecture and ecosystem; use cases for predictive and generative AI in medicine; and efforts to promote responsible use of AI in healthcare for the benefit of patients.

As a radiologist, Dr Shrestha has been told: “Run for the hills, the machines are coming!” As an innovator and strategist, he will be speaking to the practical elements of bringing together a health system’s approach to embracing AI and focusing on the impact in the real world, including through the power of ecosystems done right.

This panel will be moderated by Gene Tunik and will include a Q&A.

A discussion on the challenges faced by companies developing medical devices and drugs using AI, and the real world solutions and that work.

This panel will be moderated by Laurent Audoly and will include a Q&A.

Complimentary lunch and networking break.

The intersection of AI and precision health offers unprecedented potential to transform healthcare, but this innovation must also address critical issues of health equity. AI technologies are driving breakthroughs in drug discovery, personalized treatment, and genomics, presenting opportunities for both public and private sector solutions to reshape global healthcare. In this talk, Geli will explore how these advancements are being deployed to tackle pressing healthcare challenges across regions, from Africa to the US, while addressing disparities in access and outcomes. By examining cutting-edge venture solutions and real-world examples, Geli will highlight how AI is transforming patient care and driving more equitable health outcomes. The presentation will also explore how public and private sector collaboration can ensure that AI-driven precision health advances are inclusive, scalable, and accessible to all populations, particularly in regions undergoing rapid demographic and health transitions.

This talk will explore the transformative role of AI in pediatric healthcare. The presentation will delve into how AI technologies are being integrated to enhance patient care, streamline hospital operations, and advance medical research. With a focus on improving patient outcomes and operational efficiency, Dr. Brownstein will highlight the hospital's AI governance, innovation initiatives, and real-world applications, emphasizing Boston Children's role as a leader in digital health transformation.

This panel will be moderated by Justin Manjourides and will include a Q&A.

Precision oncology, or the use of biomarker-driven use of drugs, is a rapidly expanding field. It is driven by the availability of readily identifiable drug targets on cancers via genomic technologies and a growing list of new “targeted” agents. Oncologists strive to use this information to design treatment plans for their patients, but struggle with the abundance of biomedical data for identifying the right drug. Matching drugs with the right target should be a perfect scenario for AI technologies. In this talk, we will explore what the current issues are with using AI in this context and how we can overcome these with new concepts and workflows.

Featuring Northeastern Faculty and Researchers and moderated by Elizabeth Mynatt.

Prediction of catastrophic clinical events across patient populations and environments will become standard of care for healthcare providers. For this purpose, continuous vital signs and waveforms from cardiorespiratory patient monitors remain among the most underutilized source of patient measurement data. As an objective indicator of physiology, these information rich time series present a unique opportunity to detect the early signatures of deterioration while avoiding bias. In this summary, we highlight recent advancements in the state-of-the-art and provide examples illustrating their potential impact.

Ethics is an integral part of healthcare and medicine. However, with the introduction of AI, the ethics and health landscape becomes more complex. Traditional bioethics, medical ethics, and research ethics, while well-established, do not fully address the ethical issues that arise from the development and deployment of AI in healthcare. AI presents new ethical challenges and without a robust responsible AI framework and implementation, these ethical issues risk permeating healthcare systems and solutions. This talk explores the essential components required to integrate AI ethics into the broader healthcare ecosystem, ensuring that innovation in AI aligns with the ethical imperatives of the medical and health sciences domains.