Unlearn.AI is pioneering a computational framework for precision drug development. Our unsupervised deep learning technology is purpose-built to address the greatest challenges to applying machine learning in biology research.
Biology research data presents three primary challenges that existing machine learning approaches cannot overcome.
- Models must learn from small, unlabeled datasets.
- Models must incorporate many different types of data.
- Models must both capture both time-dependent and time-independent data.
A breakthrough in Unsupervised Learning
Tackling the challenges of biology data head-on, we built a new machine learning framework that is both flexible and powerful. This powerful framework is the foundation for our precision drug development solutions.
Unlearn Omics identifies patient sub-populations that are most likely to respond to new therapies using transcriptome, proteome, and microbiome data.
Unlearn Clinical optimizes trial design by analyzing clinical data from millions of simulated trials.