BIOTECH
The value of AI in biotech lies in reducing product defects, automating quality controls, increasing capacity, streamlining maintenance and speeding up processes. Pharma and biotech manufacturers are ideal candidates for sophisticated analytics as they are already well-instrumented with sensors, controllers and storage of historical data.
USE CASES
GAN-Based Molecule Docking Algorithm
Molecular docking problem is a very important problem nowadays as it is required for drugs discovery. The project was aimed at creating a new way of docking simulation in a new and much faster way. Using generative adversarial network let us create a new type of algorithm which was 10X faster than the original ones.
Genome Analysis
Genome analysis is a hard problem as it requires huge data analysis and machine learning capabilities. Analysis and prediction by time series and convolutional neural networks on genomic data.