Generative AI for Healthcare Workshop

We are pleased to announce the Generative AI for Healthcare Workshop at UCLA on April 19th, 2024. This one-day workshop is hosted by the UCLA Department of Statistics and sponsored by UCLA College Luskin Lecture. It will be held in the Laureate Room (1st floor) at the UCLA Luskin hotel Conference Hotel.

About

Generative AI holds profound significance for healthcare by revolutionizing various aspects of medical research, diagnostics, and patient care. Its capacity to generate realistic and diverse data allows for the creation of synthetic datasets that augment the limited availability of real-world patient information, facilitating the development and validation of robust machine learning models. In this workshop, we will discuss two main pillars in healthcare AI: “trustworthiness” and “interpretability”. In the realm of healthcare, where data privacy and ethical considerations are paramount, the generation of synthetic electronic health records (EHRs) not only enhances trustworthiness by preserving individual privacy but also underscores the critical role of interpretability in ensuring transparent decision-making processes, particularly within medical applications. The workshop brings together a diverse community of generative AI researchers from various disciplines, including statistics, machine learning, and computer science, along with policymakers and industrial partners. Please join us on April 19 for this great event in the Luskin Hotel. Registration is required but free.

Program

All events will be held at UCLA Luskin hotel Conference Hotel, Laureate Room (1st floor). Lunch will be provided at Legacy Room (2nd floor).

April 19th, Friday

• 8-8:50 Register
• 8:50-9 Opening Remark
• 9-9:45 Keynote Talk by Eran Halperin (UCLA/United Health)
• 9:45-10:15 Poster/Coffee/Tea
• 10:15-12:15 Invited Session 1: TBD
  Session Chair: TBD
  • Title: TBD
    Speaker: Jacob Aptekar (Medidata)
    Slides: TBD
  • Title: TBD
    Speaker: Quanquan Gu (UCLA)
    Slides: TBD
  • Title: TBD
    Speaker: TBD
    Slides: TBD
  • Title: TBD
    Speaker: TBD
    Slides: TBD
• 12:15-13:30 Lunch
• 13:30-14:15 Keynote Talk by Ramesh Durvasula (Eli Lilly)
  Title: TBD
  Chair: TBD
• 14:15-14:45 Poster/Coffee/Tea
• 14:45-16:45 Invited Session 2: TBD
  Session Chair: TBD
  
  • Title: TBD
    Speaker: Haoda Fu (Eli Lilly)
  • Title: TBD
    Speaker: Qi Liu (FDA)
  • Title: TBD
    Speaker: Xiaofeng Lin (UCLA)
    Slides: TBD
  • Title: TBD
    Speaker: Sheng Wang (University of Washington)
    Slides: TBD
• 16:45-17:00 Closing workshop

Poster

It is strongly encouraged to upload your poster in the registration link below (deadline is April 1st). You need to bring posters to the conference site to setup. The poster exhibit time is from 9:40-17:00.

Registration (Deadline April 1st, 2024) No Registration Fee.

CLICK HERE for registration.

Accommodation

If you need accommodation, nearby options include the following local hotels.

• UCLA Meyer & Renee Luskin Conference Center
• UCLA Guest House
• Palihotel Westwood Village
• Royal Palace Westwood
• W Los Angeles Westwood

Organizers

• Guang Cheng, UCLA Statistics (Chair)
• Namjoon Suh, UCLA Statistics
• Robert Tilman, Optum AI
• Qing Zhou, UCLA Statistics

Contact

For more information contact guangcheng@ucla.edu.

Workshop in 2023

In 2023, we held a workshop on synthetic data generation. For those who are interested, link is HERE!