AI in Drug Discovery: Speeding Up the Process
Developing a new drug is a long and expensive process, often taking over a decade and billions of dollars to bring a new treatment to market. Data Science and AI are revolutionizing this field by significantly accelerating drug discovery and testing.
AI-powered systems analyze biomedical data, genetic sequences, and chemical compounds to identify potential drug candidates in a fraction of the time it would take traditional methods. Deep learning models can also predict how new drugs interact with the human body, reducing the need for costly and time-consuming clinical trials.
For instance, in 2020, AI helped discover a new antibiotic capable of killing drug-resistant bacteria—something that previously took years of research. As AI advances, it will continue to lower drug development costs, reduce failure rates, and bring life-saving treatments to patients faster than ever before.