CCMBM Retreat with generative AI image of a human torso

2024 UCSF CCMBM & Department of Orthopaedic Surgery Scientific Retreat - Fueling MSK Health and Discovery with Data Science, Technology, and Digital Health

This scientific event, entitled “Fueling MSK Health and Discovery with Data Science, Technology, and Digital Health”, brings together research scientists, clinicians, and patients to explore recent advances and opportunities in the fields of data science, tech, and digital health as they intersect with musculoskeletal research and clinical practice. Preeminent speakers from the Bay Area and throughout the country will join together to share cutting edge research and management frameworks across the biological, rehabilitative, imaging, and epidemiologic sciences. Distinguished guests include Dr. Rob Reich of Stanford University; Dr. Anita Ho from the UCSF Bioethics Program; Dr. Marina Sirota from the UCSF Bakar Computational Health Sciences Institute; NIH ODSS Director Dr. Susan Gregurick; members of the Center for Intelligent Imaging; members of UCSF Data Sciences CoLab; members of UCSF Academic Research Services and Versa AI; and members of the Stanford Healthcare AI Team.

Please join us for this special two-day retreat sponsored by the NIH P30 Core Center for Musculoskeletal Biology and Medicine (CCMBM) and the Department of Orthopaedic Surgery. We will convene in-person for this year's event at UCSF's Mission Bay Campus, Genentech Hall, 600 16th St, San Francisco, CA 94158.

TENTATIVE EVENT AGENDA

DAY 1 - TUESDAY, March 12th, 5:30-8:00 PM

Open to the general community.

Welcome Gathering with speakers, MSK Leaders, UCSF Leaders, and invited guests
Event Program with Keynote Speakers
Rob Reich, PhD, Professor of Political Science at Stanford University
Governance of Emerging Technologies: The Case of AI Norms, Standards, and Policies
Anita Ho, PhD, MPH, Associate Professor at the UCSF Bioethics Program
Deep Ethical Learning in the Evolving AI Landscape for MSK Health
Panel Discussion on the ethics of artificial intelligence with keynote speakers will be moderated by Marc Kohli, MD, Professor of Radiology and Biomedical Imaging at UCSF
Slam Talk Competition & Lightning Talks
Poster Session and Reception

Graduate students, postdocs, and other trainees: Opportunities to present your research via a slam talk on Day 1, and/or posters on Day 2 are available here.

Junior Investigator Slam Competition FAQ (click to expand)

What is it?
The Core Center for Musculoskeletal Biology and Medicine (CCMBM) Young Investigator Slam Competition at UCSF challenges trainees to present a compelling presentation of their research in three minutes or less, using language that not only their peers but also non-specialists will understand. The purpose of this Slam is meant to incentivize trainees to clarify their ideas and to help others understand and appreciate the significance of their work.

Live Event
The CCMBM Young Investigator Slam Competition will be an in-person event that will take place on Tuesday, March 12, 2024, 7:00 PM, at the Genentech Auditorium (Mission Bay Campus). This event is a celebration not only of the finalists and competition winners, but also to highlight trainees at UCSF and of scientific enquiry.

Prize
First Prize for the best slam talk is $300.

Judges
A panel of screening judges will review all entries via sign-up form. The judges will choose the finalists to compete in the live event. An additional panel of judges will choose the 1st prize winner at the live event. Presentations will be judged based on scientific impact and the quality and clarity of your presentation.

Who can Enter?
As of February 28, 2024, you must be a current graduate student in a PhD program, Postdoctoral scholar/fellow, or Resident at UCSF. UCSF alumni are not eligible. Your presentation must be based on your own, original research. Trainees who entered the contest, or who were finalists in previous years ARE eligible to enter again. However, the winner and runner-up of previous contests are not eligible to enter again.

Rules for Live Presentations

Your presentation must be based on your own, original research.
You are allowed to use ONE slide to accompany your presentation. Your slide does not need to have your name on it. Your slide should enhance your presentation and not be the focus of your talk.
No transitions or animations are allowed on the slide.
No additional media, such as sound or video clips are permitted.
No props (eg costumes, musical instruments, laboratory equipment) are permitted.
Presentations will be in spoken word (not sung or otherwise performed).
Presentations are limited to three minutes and must be presented live on March 12, 2024.

Abstract Specifications
The abstract should be 500 words or less (excluding figure captions and citations) and include original research broadly related to musculoskeletal science. Feel free to re-use an abstract from another conference.

How Do I Enter?
Step 1: Review the contest rules, guidelines, judging criteria, eligibility, and other information in this FAQ. Check out some resources to help you craft an accessible 3-minute talk. Also, watch some of the past winning talks from live competitions.

Step 2: Sign up by February 26th.
SIGN UP

Step 3: Attend the Slam Talk Training Session at the end of January 2024.

When will I know if I am Chosen as a Finalist?
Finalists will be notified by March 1, 2024.

THANK YOU TO OUR EVENT SPONSORS

SPECIAL THANKS TO THE EVENT COMMITTEE

DAY 2 - WEDNESDAY, March 13th, 8:00 AM-5:00 PM

Open to the scientific community.

8:45 PM SESSION I - BASIC SCIENCE

Christopher Hernandez, PhD, UCSF Department of Orthopaedic Surgery
The Gut Microbiome and Aging Musculoskeletal Tissues

Saul Villeda, PhD, UCSF Department of Anatomy
Blood Based Approaches to Counter Aging

Gabriela Loots, PhD, UC Davis Department of Orthopaedic Surgery
Understanding Factors that Modulate Post Traumatic Osteoarthritis through scRNA-seq

Valentina Pedoia, PhD, UCSF Department of Radiology and Biomedical Imaging & Altos Labs
Multiscale AI-Powered Microscopy from Molecules to Organs

11:15 AM SESSION II - CLINICAL SCIENCE

Timothy Tsai, MD, Stanford Healthcare AI Applied Research Team
Advancing Artificial Intelligence and Machine Learning in Primary Care

Jeannie Bailey, PhD, UCSF Department of Orthopaedic Surgery
Using Real-World Data from Smartwatches to Track and Predict Chronic Low Back Pain Episodes

Tom Peterson, PhD, Core Center for Patient-centric, Mechanistic Phenotyping in Chronic Lower Back Pain (REACH)
Big, Small, Sparse, and Dense: Planning and Executing Research using Prospective and Retrospective Clinical Data