Drug research and development is a complex, expensive, and time-consuming procedure. So, for better ROI, it is crucial to identify the likelihood of success as early as possible. Incorporating artificial intelligence (AI) and machine learning (ML) algorithms into drug development will improve the overall success rate of the R&D. AI & ML can be incorporated into data analysis workflows to understand the biochemical basis of disease, identify druggable targets, optimize leads, and understand inherent properties of the drug itself to predict in vivo efficacy as well as adverse effects.
In this webinar, we discuss how drug discovery researchers can accelerate preclinical development, save time and money and speed time to market using Clarivate’s AI enabled suite of life sciences solutions.