This talk explores the transformative impact of Artificial Intelligence (AI) on the research lifecycle, with a focus on its application in accelerating drug discovery. It introduces the concept of the "Perpetual Research Cycle," where AI facilitates the continuous flow from data to papers and knowledge, driving innovation in scientific research. The discussion will highlight how AI tools enhance critical stages of this cycle, particularly in literature analysis and review, which are fundamental to drug discovery.

The presentation will showcase specific AI-driven solutions that streamline systematic literature reviews, enable continuous monitoring of relevant publications, and enhance the precision and efficiency of data extraction from scientific literature. By automating and accelerating these processes, AI empowers researchers to derive deeper insights from vast amounts of scientific data, ultimately leading to faster and more effective drug discovery. The talk will also address key considerations for responsible AI implementation in research, ensuring trust, accuracy, and reliability in the quest for new therapies.