With Black mirror release, we have all been imagining scenarios in which Artificial Intelligence can influence our lives. And so do the pharmaceuticals. But unlike us, they are actually working to shape up the entire industry using this technology.
But pharma and the AI? Doesn’t ring a bell? No worries, because we, the Future of Pharma team, are here to enlighten you with the whole concept about AI Healthcare.
Humans have this miraculous capability to find a solution to a problem that has never occurred in the past. Be it the cure to a newly broken disease or something else. While machines, on the other hand, can process a huge set of data in no time. And that’s what the idea of executing AI in the field of pharma was based upon. Combining the amazing traits of these two genes to build an efficient medicine industry. And as supposed, AI technology is opening new doors of innovation for the pharmaceuticals not just in the area of drug development but also in the sales department.
But how exactly is it revolutionizing the R&D and Sales department?
With the average discovery time of a drug being 12 years, supported by the finances of millions of dollars, scientists thought of formulating a method to reduce the design time and cost. And that’s how they came up with these machine algorithms that minutely analyze the digital images of the cells based on the outcomes of historical treatment and provide researchers the streamlined information. Not to mention, their alluring capability to predict the success of a drug and its FDA approval.
Like every sales-driven industry, AI helps pharma to adopt the business strategies that have been most successful in the recent market. And how to make the best profit out of it with refined strategies and intelligent decision-making. Moreover, the AI-driven charts of advertisements speak well of the direct marketing messages that point to the customers’ needs and the areas they need to be more focused on.
Several mega pharmaceutical companies have already adopted the various AI techniques to track their progress and give a personalized experience to the consumers. For instance, Johnson & Johnsons has recently launched a skincare app, Neutrogena 360, which will monitor the skin throughout the day and give an insight into its needs for healthier skin.
This rising idea has been a driving force of so many entrepreneurial firms too, including Insitro, whose main objective is to integrate the Machine learning and Human Biology for providing better pharma facilities and avoiding the dead ends of the R&D’s project by earlier prediction.
With so many communities working to modify the ordinary pharmaceutical structure with the implementation of AI, maybe it’s time for you to outshine them all by leading a way to better medicine through converging the two main fields of science.