Applications of Artificial Intelligence in Pharma
Artificial Intelligence (AI) is a trending and hottest technology with a huge scope of implementation in all sectors, which will ultimately not only benefit the community but also simplify the lifestyle to a great extent. According to industry analysts, the role of Artificial Intelligence will be higher in 2018 and is expected to transform and refine the healthcare industry in a big way. Even though there is a growing confusion among researchers over the progress and adoption including competition, you can expect major changes in the healthcare and pharma sectors once the Artificial Intelligence is completely integrated into the various fields of medicine. The companies should tap into Big Data, Machine Learning and AI to change the way we interact with the pharmaceutical segment.
Firstly, the nature of human thinking should be ascertained using long-term goals and potential of the technology at the macro level. After that, the complex problems can be solved easily with proper documentation. The main role of the AI should be to combat human capabilities via applications.
The AI revolution can be tapped by Imaging applications. It is to be noted that few companies have already received FDA approvals. However, the goal of the researchers should focus on emerging trends, drivers, and challenges in the evolving Pharma industry.
To successfully implement AI in the healthcare industry, you need to dissect data access and computing power. The huge growth of social, medical, biometrics, biochemical provides the required raw materials to design and develop the required algorithms, which will power a wide range of applications. Moreover, companies should also make effective use of sensors, chatbots, Augmented Reality (AR) and Natural Language Processing (NLP) before proceeding to integrate AI into medical and Pharma field.
The AI can be used to identify disease and related diagnosis. As per a report released by Pharmaceutical Research and Manufacturers of America in 2015, over 700+ medicines and vaccines to treat cancer were put into trial via AI and ML. The biologist should work in close relationship with information scientists before arriving at a conclusion.
The IBM Watson Health has inked a strategic partnership with IBM Watson Genomics in October 2016 to integrate cognitive computing and genomic tumor sequencing with precision medicine. Meanwhile, Boston-based Berg is making use of AI to develop diagnostics and therapeutic treatments in a wide range of specialization including Oncology. The company is currently conducting dosage trials for intravenous tumor treatment including detection and management of prostate cancer via AI.
The macular degeneration is the big problem faced by people above 60 years of age. The vision will slowly decay if adequate treatment is not provided. The DeepMind Health, which is a division of Google has established partnerships with London’s Moorfields Eye Hospital to develop a new technology to cure macular degeneration via AI.
Meanwhile, P1vital based in Oxford has developed a system named PReDicT to combat depression by making use of predictive analytics to offer treatment. The main purpose of PReDicT is to provide a viable emotional test battery.
With AI, health care providers will be able to provide customized medicine based on the health parameters coupled with predictive analytics. For example, the medical data, history and past results of a patient can be used to optimize the treatment. Moreover, an automated algorithm should transfer all the data to physician’s PC or mobile device instantly via advanced algorithms. It is also possible to keep track of the health from the physician’s home by making use of biosensors, devices, and mobile apps. The blood glucose levels and other parameters can be monitored regularly and alerts can be generated if a proper system with ML and AI is implemented.
Somatix has developed an ML-based gesture app to diagnose behavioral attitude.
