About the Event
Join Dell Med’s Office of Innovation and Entrepreneurship for a Texas-sized innovation event where teams from across UT will showcase their entrepreneurial projects alongside key players in the local life sciences community. Enjoy BBQ and learn about evolving projects that seek unique biomedical solutions to health challenges.
Last spring, Dell Med’s Texas Health Catalyst collaborated with the Cockrell School of Engineering, College of Pharmacy, College of Natural Sciences, the Institute for Foundations of Machine Learning, the Center for Rare Diseases and Discovery to Impact to put out a call for Outstanding Proposals in Health and two targeted challenges for AI in health and rare disease therapies and diagnostics.
Finalists will present their projects alongside our successful Texas Health Catalyst program alumni who will give updates on their entrepreneurial journeys. Join us to support these teams and network with innovators within life science entrepreneurial ecosystem in Austin.
For questions, contact Ruben Rathnasingham.
Agenda
2-4 p.m. | ‘Rodeo’ Competition
Presentations from this year’s Texas Health Catalyst cohort and alumni takes place.
Presenting Teams & Challenges
- Transformative Health Innovation Challenge
- Laser micro biopsy for cervical cancer diagnosis
- Increasing mRNA therapeutic safety and efficacy with a next-gen RNA polymerase
- Closing adult and prenatal immunization gaps with VAC-OPT
- Hospital of the Future Challenge
- A methodological approach to the machine learning estimation of audio recordings from a smartphone to detect fetal movements
- Improving preclinical research of anti-cancer monoclonal antibodies through antibody engineering
- A novel cancer immunotherapy for activating broad antigen-specific CD8+ T cells for enhanced anti-tumor responses in pancreatic cancer
- A magnetically steerable robotic guidewire for brain stroke treatment
- Post-Stroke Care Challenge
- Post-stroke spasticity prediction with AI
- Predicting post-stroke spasticity with a novel deep learning approach using large scale claims data
- Predicting post-stroke spasticity and optimizing treatment strategy based on longitudinal medical history records
4-6 p.m. | Reception & Winners Announced
Competition winners are announced during the BBQ reception.
In alignment with UT’s Year of AI, signature events, talks and engagement opportunities highlight research and innovation across a range of disciplines and fields. Learn more about UT’s “Year of AI” initiative and other AI news and campus events at yearofai.utexas.edu.