June 10, 2020
Git/GitHub
MLib/Machine Learning
R
This program of research is focused on assessment of multiple levels of -omics data to apply machine learning approaches to identify novel biomarkers for type 2 diabetes risk and responses to risk reduction interventions.
May 26, 2020
Git/GitHub
JQuery/JavaScript
SQL
Primum is a project management application that simplifies data-driven healthcare quality improvement for clinical teams.
February 5, 2020
HPC/GPU Computing
NLP Tools
Python
Representation learning is a powerful machine learning technique to capture the intrinsic structure of data and meaningful interdependencies. We propose to apply these methods and develop a framework to test, evaluate and compare different models.
February 5, 2020
HPC/GPU Computing
NLP Tools
Python
PyTorch
To answer the important and unanswered questions relevant to the comparative effectiveness of treatments for IBD and precision medicine, we propose to develop a series of text classifiers/regressors to abstract these elements from clinical notes.
November 1, 2019
MLib/Machine Learning
Python
R
The goal of this project is to use a multi-omics integrative approach leveraging publicly available human genomics and transcriptomics as well as single nucleus RNA sequencing technology.
November 1, 2019
MLib/Machine Learning
Python
R
The goal of this project is to analyze publicly available, large-scale transcriptomic datasets of AD patients and age-matched controls.
November 1, 2019
Python
This project will be about building a dashboard to help clinicians who order UCSF500.
November 1, 2019
MLib/Machine Learning
Python
PyTorch
SQL
TensorFlow
This is a full pipeline infrastructure that has pre-written queries for pulling patient data from clarity in an organized manner.
November 1, 2019
Python
R
SQL
We would like to build a library of slides that the board members can use as a resource and we would like to build a modular text library.
November 1, 2019
NLP Tools
Python
The clinicians ask to discuss their patients at the MTB, wanting to know if there any therapeutically actionable variants in the patient's tumor.