UCSF AI4ALL's summer program students will be presenting their group research projects involving different applications of AI to Biomedicine! UCSF AI4ALL's overall aim is to nurture diversity and inclusion in AI by teaching AI to high school students from underrepresented groups, focusing on AI for biomedical applications. During their virtual 3-week program (July 8 to July 26), students learn about coding and machine learning, and gain in-depth experience by working on their own research projects.
Symposium Schedule
10:15 am – 10:30am Welcome
10:30 am – 11:30am Keynote Speaker: Jessica Tenenbaum, PhD, Associate Professor, Biostatistics & Bioinformatics, Duke University, Associate Director for Bioinformatics in the Duke Translational Medicine Institute, Chief Data Officer, North Carolina Department of Health and Human Services
11:30 am – 1:15pm Students' Presentations
Project 1: Predicting Parkinson's Disease Using Demographic and Speech Features
Project 2: Prediction Of Tuberculosis From Chest X-Rays
Project 3: Predicting The H-Index Of Professors Given The Titles Of Their Papers
Project 4: Leveraging Machine Learning and Transcriptomics for Endometriosis
Project 5: Craniectomy Outcome Prediction Using EMR Data
Project 6: Prediction of Interacting Residues at Protein-Protein Interface
1:15pm – 1:30pm Closing remarks
Add to Calendar2024-07-26 17:15:002024-07-26 20:30:002024 UCSF AI4ALL Final Symposium
Register here for Zoom
UCSF AI4ALL's summer program students will be presenting their group research projects involving different applications of AI to Biomedicine! UCSF AI4ALL's overall aim is to nurture diversity and inclusion in AI by teaching AI to high school students from underrepresented groups, focusing on AI for biomedical applications. During their virtual 3-week program (July 8 to July 26), students learn about coding and machine learning, and gain in-depth experience by working on their own research projects.
Symposium Schedule
10:15 am – 10:30am Welcome
10:30 am – 11:30am Keynote Speaker: Jessica Tenenbaum, PhD, Associate Professor, Biostatistics & Bioinformatics, Duke University, Associate Director for Bioinformatics in the Duke Translational Medicine Institute, Chief Data Officer, North Carolina Department of Health and Human Services
11:30 am – 1:15pm Students' Presentations
Project 1: Predicting Parkinson's Disease Using Demographic and Speech Features
Project 2: Prediction Of Tuberculosis From Chest X-Rays
Project 3: Predicting The H-Index Of Professors Given The Titles Of Their Papers
Project 4: Leveraging Machine Learning and Transcriptomics for Endometriosis
Project 5: Craniectomy Outcome Prediction Using EMR Data
Project 6: Prediction of Interacting Residues at Protein-Protein Interface
1:15pm – 1:30pm Closing remarks
Division of Clinical Informatics and Digital TransformationAmerica/Los_Angelespublic
