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.
November 1, 2019
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
Python
TensorFlow
We'd love to work with more people, primarily those looking to gain expertise in: deep learning, neurodegenerative diseases, github / CI / containers, etc.
November 1, 2019
Apache Spark
Git/GitHub
HPC/GPU Computing
MLib/Machine Learning
NLP Tools
Python
PyTorch
R
SQL
TensorFlow
This project aims to build a platform for machine learning-based interpretation of multiple data sources.