Right now, doctors cannot reliably predict how fast ALS will progress in a given patient. That makes it nearly impossible to design good clinical trials because you cannot measure whether a drug is working if you do not know what would have happened without it. This project is building algorithms that predict disease trajectory using clinical and genetic data. Better predictions mean smarter trials and faster answers for patients who do not have time to waste.
Partners:
- Mass General Brigham
What this project needs:
- Access to large longitudinal clinical datasets and genetic sequencing data from ALS patients and controls. The math is ready. We need the data to train and validate it.