Artificial Intelligence (Ai) is revolutionizing diagnostics. In genomics, Ai algorithms known as machine learning and deep learning are used to process large and complex genomic datasets in combination with electronic records, claims, and other laboratory data.
This new approach expands upon Ai technologies, combining machine learning
with artificial neural networks that can make predictions
which guide and optimize treatment decisions.
We use advanced supercomputing hardware, Ai algorithms, and massive amounts of genetic and clinical data to unlock the secrets of the human blueprint. How cool is that?
Because the deep-learning framework is adaptable to different clinical care settings,
each hospital or clinic can modify the model to best fit available datasets and tailor it to its specific patient population. Not only does the model customize treatment therapies for individual patients, but it can also adjust its structure for the unique patient populations in each care setting.
With a growing biobank and related patient data, we are cracking the code to treatment alignment. Breakthroughs in biotechnology and genomics research offer hope and transform patient’s lives.
Data subscription services
In 2020, we plan to further develop the opportunity for collaboration
on scientific research through data subscription services.