The discovery paradigm of drugs is rapidly growing due to advances in machine learning
(ML) and artificial intelligence (AI). This review covers myriad faces of AI and ML in drug …

Artificial intelligence (AI), particularly deep learning as a subcategory of AI, provides
opportunities to discover and develop innovative drugs. The use of AI in drug discovery is …

Artificial intelligence (AI) speeds up the drug development process and reduces its time, as
well as the cost which is of enormous importance in outbreaks such as COVID-19. It uses a …

Drug discovery and development are critical processes that enable the treatment of wide
variety of health-related problems. These are time-consuming, tedious, complicated, and …

Over the past decade, artificial intelligence (AI) and machine learning (ML) have become the
breakthrough technology most anticipated to have a transformative effect on pharmaceutical …

Artificial intelligence (AI)—that is, machine intelligence—has the potential to make waves in
drug discovery. However, it is not without its challenges. In this issue of Future Drug …

The global spread of COVID-19 has raised the importance of pharmaceutical drug
development as intractable and hot research. Developing new drug molecules to overcome …

Abstract Machine Learning (ML) and Deep Learning (DL) are two subclasses of Artificial
Intelligence (AI), that, in this day and age of big data provides significant opportunities to …

Due to the heap of data sets available for drug discovery, modern drug discovery has taken
the shape of big data. Usage of Artificial intelligence (AI) can help to modify drug discovery …

Background: The lengthy and expensive process of developing a novel medicine often takes
many years and entails a significant financial burden due to its poor success rate …