Software
Dream Team Software Engineering (DTSE) is our software development division. DTSE currently contains six subteams that are all focused on producing innovative technologies for patients and doctors through a combination of web apps, mobile apps, VR games, and software-controlled hardware.
Predictive Diagnostics
The Predictive Diagnostics Team is creating a machine learning model to predict the readmission rates of geriatric patients at Larkin Community Hospital in South Miami. By taking in data of patients aged 65 and older we are working to predict how likely they are to be readmitted back into the hospital within the next 30, 60, or 90 days. This will help doctors better prepare for their patients to ensure they are receiving the best treatment possible.
Care Connect
Care Connect is a web application made for the volunteers at the Equal Access Clinic of Gainesville to use when looking for community resources to give to patients. When the volunteers are interacting with patients in the clinic, they can use the web application to search for the patients criteria and category of the resource in order to select the best resource for each scenario. The website is developed using React and a SQL database to retrieve the information for all the resources available.
Train of Four
This team aims to automate the Train of Four test, which assesses anesthetic levels within a patient. The team combines computer vision with a TensorFlow/Keras image processing framework to accurately quantify hand movements of a patient after an electrical stimulus. This measurement tool standardizes and collects critical information that inform anesthesiologists on the effect and delivery of medications.
CT GAN
The CT GAN project has the goal of using Generative Adversarial Networks (GANs) to produce artificial CT scans. We are currently focusing on producing COVID positive CT scans and healthy CT scans. We are comparing a few different GAN architectures to see which produces artificial CT scans of the highest quality. Once we identify the best GAN architecture for our purposes, we can start applying it to CT scans of more rare pathologies, allowing us to augment their datasets which will help train ML diagnoses models.
Disease Research and Infection Forecasting Tool (DRIFT)
The Disease Reporting and Infection Forecasting Tool (DRIFT) is similar to a hurricane forecasting map - but for diseases. DRIFT uses a bioinformatics model called the SEIRD model along with machine learning to visualize disease spread predictions on a map two weeks before they happen. This will allow public health officials to make informed decisions about where to allocate resources when epidemics strike
Launchpad
Dream Team Engineering's Launchpad Team takes over unfinished products and help make them market ready! Last semester we worked on an app called GatorGoesToSurgery for Shands. The team is currently in the process of trying to get the app set up at Shands Hospital.
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