Deep Learning in Java for Drug Discovery

Fri, 20 Aug 2021 09:28:10 +0000

In the age of big-data, rising pharmaceutical costs, and an ever-increasing market demand, it is becoming apparent that drug design strategies need to adapt in order to meet patients’ therapeutic needs for a host of medical conditions.

Costly and time-intensive experimental work is one of the main bottlenecks in the drug discovery pipeline, which can take up to a decade, while experiencing a failure profile of up to 95% before a molecular candidate can be approved for patient use.

Oscar Bastidas on foojay.io - Friends of OpenJDK

Deep Learning in Java for Drug Discovery