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.

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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

Past meetings of CTSOG

Date

March 16 (Wednesday) - 18 (Friday), 2022

Venue

Venue: Embassy Suites by Hilton Orlando Lake Buena Vista South, 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.

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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 ...

• 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

12:00am: Close