Last took part in 2019

CBMI@UTHSC

We develop Biomedical and Clinical informatics applications

Contributors in 2026

–

Not taking part

Projects since 2016

3 a cycle on average

Cycles

1 of 11

First in 2019

Rank in 2026

–

By contributors

Mentors

for 3 projects in 2019

Contributors per cycle

Accepted projects each year, against the median organization that year

View as table

Each one has its own page of organizations and trends

Is CBMI@UTHSC in GSoC 2026?: No. It last took part in 2019.
How long has it taken part?: 1 of 11 cycles since 2016, first in 2019.
How many contributors does it usually take?: 3 a cycle on average, 3 in total. Its largest cycle was 2019, with 3.
What does it build with?: Python, JavaScript, Flask, TensorFlow, Reactjs.

Fever prediction model using high-frequency real-time sensor data
Aditya Singh-2Mentored by Akram Mohammed, Lokesh Kumar Chinthala, Rishi Kamaleswaran
Machine Learning has the ability to gain information, process it and give a well-defined output to the end-user. Machine Learning algorithms can...
Project Code
Deep learning model for sepsis prediction using high-frequency data
Ronet SwaminathanMentored by Anahita Khojandi, Akram Mohammed, Franco +1
Sepsis is a potentially life-threatening condition caused by the body's response to an infection. The body normally releases chemicals into the...
Project Code
Integrating genomics and high-frequency physiologic data for sepsis detection
Shayantan BanerjeeMentored by Akram Mohammed, Bhavya Kadiyala, Rishi Kamaleswaran
In this project we intend to integrate publicly available -omic and clinical datasets using natural language processing techniques. Combining...
Project Report