Biomedicine in the Age of Generative AI

Biomedicine in the Age of Generative AI

Tuesday, June 11 | 12 p.m. ET | Virtual

Speaker: James Zou, PhD
Associate Professor, Biomedical Data Science, Computer Science, and Electrical Engineering
Stanford University

This talk will explore how to develop and use generative artificial intelligence (AI) to help researchers, clinicians, and patients. Dr. Zou will discuss how to use AI to generate recipes for making and validating new drugs and how visual-language AI can help clinicians interpret histology images. Finally, he will discuss using large language models (LLM) to simplify medical forms and improve informed consent for patients as well as share perspectives on what’s on the new horizon for generative AI.

Zoom Information
Join via PC, Mac, iOS or Android: https://zoom.us/j/98840587618?pwd=RWpjRzlRK1pPL2lVUWt5ZWE4bmpxQT09
Meeting ID: 988 4058 7618
Passcode: 191972

Ethical Aspects of AI in Biomedical Research: The NIH Bridge to AI Initiative

Ethical Aspects of AI in Biomedical Research: The NIH Bridge to AI Initiative

Friday, March 22 | 12 p.m. ET | Hybrid: 321 MacNider Hall & Virtual

Speaker: Vardit Ravitsky, PhD
President and CEO, The Hastings Center
Senior Lecturer on Global Health and Social Medicine, Harvard Medical School
Professor, University of Montréal

Dr. Ravitsky will be speaking at the UNC Center for Bioethics’ Research Ethics Grand Rounds Merrimon Lecture. She is the President and CEO of The Hastings Center, an independent, nonpartisan bioethics research institute that is among the most prestigious bioethics and health policy institutes in the world. Dr. Ravitsky joins the Center from the University of Montreal where she was Professor at the Bioethics Program, School of Public Health. She is also a Senior Lecturer on Global Health and Social Medicine at Harvard Medical School. She received her PhD from Bar-Ilan University in Israel, her MA from the University of New Mexico, and her BA from the Sorbonne University in Paris, France. Dr. Ravitsky runs an active research program and holds several positions on advisory boards. Her research in bioethics focuses on ethical, legal, and social implications of genomics and assisted reproductive technologies, with an emphasis on emerging biotechnologies and their implications for women’s autonomy and for disability rights. She also studies the ethics of AI in biomedicine.

To learn more, visit the event webpage.

Zoom Webinar Link | Passcode: 004091

2024 Precision Medicine Tri-Conference

2024 Precision Medicine Tri-Conference

March 26-28 | San Diego, CA

Join thousands of international thought leaders to discuss the latest research, technologies, innovation and business models in precision medicine and precision health. Topics will include innovation and market access strategies for at-home diagnostics, liquid biopsy and advanced diagnostics for precision oncology, AI and digital tools, spatial biology and single-cell multiomics in advancing precision medicine and more.

To learn more and register, visit the conference website.

Please note: Registration is required for both in-person and virtual attendees.

An Overview of Applied Machine Learning in Medicine at UNC

An Overview of Applied Machine Learning in Medicine at UNC

Thursday, January 4 | 12-1 p.m. ET | 4th Floor Old Clinic Auditorium or Online

Speaker: Amanda Nelson, MD
Associate Professor of Medicine, UNC-Chapel Hill

A discussion on the application of AI tools to answer clinical questions around diagnosis, phenotyping, prognosis, and precision medicine using examples from investigators at UNC.

 

WebEx Information:

https://uncsom.webex.com/uncsom/j.php?MTID=m893f54367d9d2ac90bbac612e815bf88
Meeting number (access code): 2314 463 7243
Meeting password: V!rtu@lmgr22

Duke Precision Medicine Program Forum Series

Thursday, April 27 | 12-1 p.m. ET | Online

The Duke Precision Medicine Program Forum Series features speakers from Duke and beyond working on innovative research in clinical, translational, and basic sciences.

Michael Pencina, PhD
Vice Dean for Data Science
Duke University School of Medicine

Title: How do we make sure that health AI algorithms are in the service of humanity?

Learn more and register on the Precision Medicine Forum Series website.

Application of Artificial Intelligence & Machine Learning for Precision Medicine

Friday, February 17 | 10 a.m.-4:15 p.m. ET | Online

The U.S. Food and Drug Administration (FDA) – in collaboration with the University of Maryland Center of Excellence in Regulatory Science and Innovation (M-CERSI) – will host a one-day virtual public workshop entitled “Application of Artificial Intelligence and Machine Learning for Precision Medicine.”

The purpose of this workshop is to review current methodologies, opportunities, challenges, and best practices to address the rapidly changing landscape of artificial intelligence and machine learning in the setting of drug development and precision medicine.

Read the agenda, speaker bios, and register for this free event on the University of Maryland’s website.