Jiajie Sun
Pronouns: she/her
Research Mentor(s): Arvind Rao
Co-Presenter: Xu, Andi
Research Mentor School/College/Department: Computational Medicine and Bioniformatics / Medicine
Presentation Date: April 20
Presentation Type: Oral5
Session: Session 3 – 1:40pm – 2:30 pm
Room: Breakout room 3
Authors: Loria Sun, Avery Maddox, Arvind Rao
Presenter: 1
Abstract
The AID project aims to build a better world by applying Artificial Intelligence into the clinical medicine field. The goal of the project is to build an algorithm that collects all clinical cancer slides that are uploaded by clinical workers with qualified diagnoses. And the algorithm studies the patterns of cancer slides with the diagnoses. The algorithm can be applied in Low-to-Middle-Income Countries that lack professional workers with sufficient experience. The project also builds a connection between the LMIC clinical workers with more experienced pathologists around the world. The project focus on studying different algorithms and learning from them. The purpose of the project is to find the “best†algorithm that can provide a professional and correct diagnosis for cancer slides. The plan of the project has several stages. The first stage is to learn about the current algorithms that compute diagnosis with the slides. While our tasks during the first stage are to learn different various programming tools, like open slides with python and PyTorch.
Biomedical Sciences, Engineering
