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 and in-person workshop is hosted by UCLA Department of Statistics and Data Science and sponsored by UCLA College Luskin Lecture, Science Hub for Humanity and Artificial Intelligence, and UCLA DataX. 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.

Our Speakers

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

• 8:25-8:55 Register
• 8:55-9 Opening Remark by Prof. Guang Cheng, UCLA Statistics and Data Science
• 9-9:40 Keynote Talk by Eran Halperin (UCLA/United Health),
  
  • Chaired by Robert Tillman (Optum AI/UnitedHealth Group)
  • Title: Machine Learning in Healthcare
    

• 9:40-10:00 Poster/Coffee/Tea
  

• 10:00-12:00 Invited Session 1
  Session Chair: Guang Cheng (UCLA)
  • Title: AI/ML: New frontier in drug development
    Speaker: Qi Liu (FDA)
    
  • Title: CHIRon: A Generative Foundation Model for Structured Sequential Medical Data
    Speaker: Brian Hill (Optum AI/UnitedHealth Group)
    
  • Title: Towards a Foundation Model on Tabular Data
    Speaker: Xiaofeng Lin (UCLA)
    
  • Title: Creating production grade (Gen)AI powered software in Clinical Trial
    Speaker: Lichen Shen (Medidata) (Contact Info: lichen.shen@3ds.com)
    
• 12:00-13:00 Lunch
• 13:00-13:40 Keynote Talk by Wilko Schulz-Mahlendorf (Amazon Health Science)
  • Title: Generative AI opportunities for health customers, patients, and providers
    
• 13:40-14:40 Invited Session 2
  Session Chair: Chi-Hua Wang (UCLA)
  
  • Title: Filling the gaps between medical foundation models and real-world clinical applications
    Speaker: Sheng Wang (University of Washington)
    
  • Title: Guided Discrete Diffusion for Electronic Health Record Generation
    Speaker: Quanquan Gu (UCLA)
    
• 14:40-15:00 Poster/Coffee/Tea
• 15:00-15:40 Keynote Talk by Ramesh Durvasula (Eli Lilly)
  
  • Title: GenAI in Pharma: It’s not a question of WHETHER, it’s a question of HOW (and how much…)
    
• 15:40-16:40 Invited Session 3
  Session Chair: Weixiang Chen (Geminos Software)
  
  • Title: LLM Is Not All You Need. Generative AI on Smooth Manifolds
    Speaker: Haoda Fu (Eli Lilly)
    
  • Title: The Equity Imperative: Crafting Fair Generative AI Solutions in Healthcare
    Speaker: Hope Johnson (Teladoc Health)
    
• 16:40-16:45 Closing workshop

Detailed Talk Information.

For detailed talk information CLICK HERE.

Poster

It is strongly encouraged to upload your poster in the registration link below (deadline is April 15th). You need to bring posters to the conference site to setup. The poster exhibit time is from 9:40-17:00.

Registration is now closed.

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

Parking Information

The nearest parking station to the Conference center is UCLA Structure 8, guest parking station.

Organizers

• Guang Cheng, UCLA Statistics and Data Science (Chair)
• Namjoon Suh, UCLA Statistics and Data Science
• Robert Tillman, Optum AI
• Qing Zhou, UCLA Statistics and Data Science

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!