Futuristic Applications in Pharma : Artificial Intelligence & Machine LearningWednesday March 28th, 2018 Seema Surendran, Project Lead
Big data and machine learning could generate tremendous revenue in pharma and medicine, in the future. When the changes are big for the future, the innovations also aim at changing clinical settings. The potential towards improved diagnosis of disease, personalization of treatment, novel drug discovery and manufacturing practices, advancement in clinical trial research, improved treatment structures and smart health records are not far-off.
Many top pharma companies have already started to emerge in the field of artificial intelligence (AI) applications say Johnson & Johnson (for mobile platforms on health outcomes, anesthesia, surgical robots), Roche (for cancer therapy, drug discovery & development, personalized medicine sectors), Pfizer (for drug discovery), Novartis (for improved breast cancer treatment) and Bayer (for cancer & preventable diseases).
Artificial intelligence and machine learning are novel ideations to look R&D in a unique perspective. These two subjects grab plenty of attention in the pharma industry. Integration of such novel technologies might make tedious processes simpler, for example drug discovery which is extensive and expensive.
In the last 5 years, $1.5 billion has been invested in AI start-ups. No wonder, it can have big implications in healthcare and life science industries. This may be used to analyze early detection of disease in human. Through AI, the time to market drugs and capital could be reduced. We cannot deny the fact that it is still to be proven in terms of hurdles and bottlenecks.