AI in Pharma: Mastering the Eight Biggest Challenges

The urgent demand for effective treatments became undeniable during the pandemic’s grip on the world. However, the traditional route for developing drugs is known for its lengthy and costly process. That is when AI stepped in as a beacon of hope. By sifting through vast amounts of medical data, AI algorithms could pinpoint drugs with established safety records that could combat COVID-19. A notable instance occurred at AstraZeneca, where AI aided in identifying baricitinib, a medication for rheumatoid arthritis, as a potential remedy for COVID-19 patients. This swift repurposing not only saved crucial time but also tapped into existing manufacturing and distribution networks, ensuring speedy access to the drug for patients in need. Although this breakthrough occurred within one organization and led to a breakthrough, its widespread adoption across the industry was prevented due to cumbersome pharmaceutical practices. So, what are the formidable challenges pharmaceutical companies grapple with? How can AI help these companies navigate these obstacles? Let’s deep dive into this. <a href="https://medium.com/@Kaneshwari.Patil/ai-in-pharma-mastering-the-eight-biggest-challenges-74f5a8148ea2">Read More</a>