Neuroscience Data Cloud
The healthcare industry is challenged to become more affordable, effective and accessible in an environment of rapid change and complexity. The successful healthcare enterprise of the future will be driven by data, have digital at its core, and have a flexible operating model.
Health organizations are implementing innovative digital health strategies. Whether the focus is cloud accessibility/integration, EHRs, machine learning, AI, cybersecurity or other technologies, leading organizations can fundamentally change the way healthcare is delivered and the health consumer experience.
Data pipeline development
Our client brought 10 years of concussion data to us with a method of diagnosis. We were tasked with developing the algorithms and a technological system for collection of baseline data, automated processing, and dynamic diagnosis.
We developed a data pipeline strategy, research framework and technology roadmap.
Autoencoder Machine Learning
Our autoencoder module analyzes the patterns of the biomarker data. It creates a synthetic baseline data expectation model and compares it to the concussed state. It analyzes each brain data file automatically and stores the synthesized baseline in the dataset.
Brain Data Cloud