AI and Complex Systems in Biomedicine
Eighth Clinical and Translational Science Award Ontology Workshop
Announcement
The Clinical and Translational Science Ontology Group (CTSOG) invites you to join us March 16-18, 2022 in Orlando, Florida to discuss
Example use cases include .
Persons who are interested in participating can register here. If you have any questions, please contact William Hogan at hoganwr@ufl.edu.
Organizers
Workshop Co-organizers:
Bill Hogan, Jobst Landgrebe, Barry Smith
CTSOG Co-chairs:
Bill Hogan (University of Florida College of Medicine, Gainesville, FL), hoganwr@ufl.edu
Barry Smith (University at Buffalo, Buffalo, NY), phismith@buffalo.edu
Sponsors
Date
March 16 (Wednesday) - 18 (Friday), 2022
Venue
Venue: Embassy Suites, Kissimmee, FL (20 minutes from Orlando airport). A block of rooms will be available as well, and we will announce the block code in coming weeks.
= Embassy Suites by Hilton Orlando Lake Buena Vista South
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Registration*: A link to register will be forthcoming. We currently anticipate free to register, but that is subject to change.
- Organizers*: Barry Smith, Jobst Landgrebe, Bill Hogan
Schedule
- Outline of Agenda*: (starting and stopping times for official agenda each
day in bold)
- Tuesdau March 15th
Pre-Workshop Informal Meet & Greet: We will meet between 7pm and 10pm f
- Wednesday March 16th*
9a-12p Working session on the ontology of social determinants of health
12p-1p Lunch (available to all, not just working session participants)
- 1p*-1:15p Welcome and overview
1:15p-3:15p Opening Tutorial by Jobst Landgrebe, Cognotekt GmbH
- Opening Tutorial*: Jobst Landgrebe, Cognotekt GmbH
- Abstract*:
“Google’s deep-learning program for determining the 3D shapes of proteins stands to transform biology, say scientists.”
An optimism of this sort as to the potential of AI is shared by many working in the field of clinical and translational science. The purpose of this workshop is to explore the basis for this optimism, by looking at successes and failures of AI in different areas of biomedicine. Potential topics to be explored are:
- Can NLP build useful medical ontologies? - Machine learning and the role of ontology - AI and team science - AI and medical diagnosis and clinical decision support - The limits of AI when applied to complex systems - Complex systems and the replication crisis - AI in therapeutic decision making - AI in modelling cell biology - AI in modelling systems biology - AI-driven cell ontology - The challenges of implementing AI in healthcare
The tutorial will reflect on the questions of what will be the domain of medicine that will benefit most from AI and how will it impact the way we work in research and medical care?
3:15-3:30 Break
3:30-*5:00* Presentations
5:30p Reception
- Thursday March 17th*
- 9a-5p* Presentations with breaks and lunch provided
- Friday March 18th*
- 9a-12p * Working session and discussion of next steps, closing
10:45am: Introduction to CRO - Presenter: Frank Manion
11:00am: Introduction to d-acts - Presenter: Mathias Brochhausen
11:15am: Use cases - Facilitator: Mathias Brochhausen
