Himanshu Jain

Drug discovery is a multi-stage process filled with financial as well as logistical challenges. According to some estimates, the cost to bring a single drug to market is around 2-3 billion dollars. This cost is mainly inflated by the high rejection rate of candidate molecules during clinical trials and the inefficient discovery phase. However, we can make this process much faster and cheaper by identifying strong candidates for trials and by developing a less labour-intensive discovery pipeline. The solutions are very clear, but according to the American Society for Biochemistry and Molecular Biology, 90% of the drug candidates fail in clinical trials even today.

Attempts have been made to solve these challenges, but nothing much has changed, and the industry still mostly relies on traditional methodologies. This is where Artificial Intelligence (AI) comes into play and promises to drive significant advancements in solving financial and logistical challenges. With the launch of powerful AI tools in the last few years, the world has realised the vast capabilities of AI. Since then, AI tools have revolutionised various fields, from ad-making to financial management. AI tools have the capability to analyse vast datasets, which can help make predictions and bring improvements in the drug discovery field as well. This includes identifying new drug targets, predicting the effectiveness of potential pharmaceuticals, and optimising dosage strategies. Moreover, AI can advance drug repurposing and help tailor…read more on NOPR