The Lacuna Fund has announced the first round of awards to create datasets in the health domain. The teams selected for funding are unlocking the power of machine learning across the globe, from the rural provinces of Nepal to the neighborhoods of Chicago, USA. This funding and the project teams’ work will create, augment, and aggregate open datasets that are representative of affected populations and are therefore less biased and more likely to lead to equitable health outcomes worldwide.
With this announcement, MAI LAB is being awarded to create an annotated database of MRI images from sub-Saharan Africa for diagnosis of glioma, a rare, fast-growing, and highly fatal brain tumor. This dataset when completed would be used to run the Brain Tumor Segmentation (BraTS) Challenge, a global AI modeling challenge that has been running for more than 10 years.