Machine Learning System Could Remarkably Ease The Process Of Drug Discovery

A research team from the Computational Biology department of Carnegie Mellon University have developed a machine-learning based experimental set up for analysing the effects of drugs on protein patterns. The new fully automated robotic system is a first of its kind and reduces human effort by a staggering seventy percent. This novel approach towards drug – protein interaction will also be a boon for the medical industry by significantly lowering the cost of discovery of drugs.Indian-origin scientist Armaghan Naik, who is the lead author, stated that their research has been greatly influenced by biomedical scientists who have devoted their time to tinker with the concept of time-effective experimentation. Researchers had to intelligently choose the ideal conditions in order to design the experiment with utmost precision and efficiency. This was an…


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