in

AI pill against drug-discovery-ills as well as bills – What’s Novartis up to?

Early drug-discovery at this pharma-giant will now have help from brains of a different kind. Novartis is tapping Intel in the area of deep-neural networks for adding speed to high-content-screening in the discovery process. Interestingly, this collaboration team is cutting time-to-train image-analysis models from 11 hours to 31 minutes – an improvement of greater than 20 times.

What surfaced at AI DevCon has been bubbling at Novartis since last few months. The pharma-major has been betting strongly on AI (Artificial Intelligence) for some time now with numerous AI-pilot studies underway. From the desk of global head of drug development to CEO’s chair, Vas Narasimhan has been walking the talk enthusiastically with endeavours like ‘NIBR 2.0’; more open sharing of data in early research; and greater automation in early-stage research, including AI, as per some media reports. These have been purported to catalyse Novartis’s forays in areas like CRISPR/Cas9 for radical drug discovery and development as well as in strengthening rational evidence-based decisions around clinical trials (using 10 years of company data to dig patterns, for instance).

Nerve, a software system for tracking patient data on 550 clinical trials using Novartis drugs, is a case in point. What’s encouraging to see here is how these innovators are open to the idea of learning from bad decisions for going to good decisions with machine-learning and AI capabilities. The company is also seriously embracing telemedicine, automation and quantum computing for goals like efficiency and safety.

SYSKA Smart Light with Amazon Alexa

Of Privacy and Alexa eavesdropping scandal

Paytm payment bank

Goodbye Paytm