This Week In OHDSI

June 18, 2024

The June 18 community call focused on the Application of Large Language Models in the Evidence Generation Process. We welcomed three members of the community to present recent research in this area.

Knowledge-guided Generative AI For Automated Taxonomy Learning From Drug Labels – Yilu Fang • PhD Student, Columbia University
A Chatbot to Streamline Biomedical Data Discovery and Analysis – João Almeida • Chief Information Security Officer, University of Aveiro
Generative AI for real-world evidence – Martijn Schuemie • Research Fellow, Epidemiology Analytics, Janssen Research and Development

Community Updates

• All collaborator showcase submissions for the 2024 Global Symposium are due by 8 pm ET on Friday, June 21. Please use this link to submit your brief report!

• To carry out the OHDSI mission, we need an active and willing global network of data partners, and we need the ability to quickly identify those that might be the right fit for a specific clinical research question. Last year we piloted this effort through the Save our Sisyphus challenge and are now ready to move forward based on our learnings. The OHDSI Evidence Network workgroup is excited to initiate a network study that will describe the OHDSI Network in a publication, and will also create an open public resource designed to facilitate evidence generation faster and better than ever by building on methodologies developed by thought leaders around the world.

You can access the protocol here, and you can learn more about this effort from a recent OHDSI Evidence Network update. Come join us on this exciting journey!

The next edition of the CBER BEST Seminar Series will be held Wednesday, June 26, at 11 am ET. Jenna Wong, Assistant Professor in the Department of Population Medicine at Harvard Medical School and Harvard Pilgrim Health Care Institute, will lead a session on Applying Machine Learning in Distributed Networks to Support Activities for Post-Market Surveillance of Medical Products: Opportunities, Challenges, and Considerations. The full schedule for the CBER BEST Seminar Series, including past presentations, is available here.

• The July 2 community call will be our annual “Newcomer Introductions” session. We invite any of our newer members of the OHDSI community to join the call, introduce themselves and share about how they hope to collaborate with the community. To ensure the opportunity to take part in this session, please fill out this brief form.

2024 OHDSI Global Symposium

Registration is open for the 2024 Global Symposium, which will be held Oct. 22-24 at the Hyatt Regency Hotel in New Brunswick, N.J., USA. The three-day event will feature tutorials on Day 1, plenaries and the collaborator showcase on Day 2, and workgroup activities on Day 3.

• Day 1 will open with a single tutorial in the morning: An Introduction to the Journey from Data to Evidence using OHDSI. There will be four advanced tutorials during the afternoon: An Introduction to the Journey from Data to Evidence using OHDSI; Developing and Evaluating Your Extract, Transform, Load (ETL) Process to the OMOP Common Data Model; So, You Think You Want To Run an OHDSI Network Study?; and Using the OHDSI Standardized Vocabularies for Research. You can select your tutorials during the registration process.

• Collaborator Showcase submissions are now being accepted, and all details about the event are available here. Submissions are due by Friday, June 21, at 8 pm ET. Notifications of acceptance will be sent out by Tuesday, Aug. 20.

Job Openings

• Daniel Prieto-Alhambra announced an opening for a Postdoctoral Researcher in Real World Evidence to join the Pharmaco- and Device epidemiology research group at the Botnar Research Centre, NDORMS, University of Oxford. This person will be leading or co-leading real world evidence studies, analysing real world health data mapped to the OMOP common data model and write study reports and scientific manuscripts. More details and an application link are available here; the application deadline is 12 pm on July 1, 2024.

• Aki Nishimura announced that Johns Hopkins University is seeking postdoctoral fellows. The fellows would work on methodological research in pharmaco-epidemiology to address medication and device utilization, effectiveness, and safety relevant to health, lung, and blood diseases. More information and application details are available here. If you are interested in having Aki Nishimura as a co-advisor, please include him on your application email at aki.nishimura@jhu.edu.

Slides

Feng | Almeida | SchuemieCommunity Updates

Video Presentation

Knowledge-guided Generative AI For Automated Taxonomy Learning From Drug Labels (Yilu Fang)

A Chatbot to Streamline Biomedical Data Discovery and Analysis (João Almeida)

Generative AI for real-world evidence (Martijn Schuemie)