We create blood content training sets from medical biodata collected in clinical environments around the world and invite data scientists to access the training sets, transforming them into a wide variety of blood-analysis models. Every model can be commercialized on the marketplace and offered to application developers for implementation.
While your contributions will reshape untold industries, you’ll also enjoy royalties whenever your model is implemented into blood-aware applications.
Our dataset management platform makes it easy to get what you need, when you need it. We classify, group and annotate each dataset to help you find the right fit. We’ll even notify you when datasets are updated. Once you’ve found what you need, you’re welcome to download each dataset in the optimized format for your favorite machine learning framework, including Torch, Caffe, TensorFlow, MXNet, Digits, Theano and Deeplearning4J.
All training sets are built from the ground up using medical biodata collected by our unique blood data harvesting tool – Bloodgate – ensuring an exceptional accuracy rate and detection range. The training sets are sorted by NIR device type, substance index and scan area.