It costs millions of dollars to bring a drug to market – between searching for new drugs, developing new treatments, and having only a fraction of the therapies succeed between trials and regulatory approval – it’s an expensive and long journey.
But what if we could automate the drug discovery process?
Large pharmaceutical companies are now using artificial intelligence (AI) to power their search for treatments. AI promises to make the drug discovery process easier, quicker, and cheaper. It is quickly becoming an invaluable tool for scientists both inside and outside big pharma. Specifically, scientists are using AI algorithms to search through large volumes of data to predict drug treatment results, identify diseases, and diagnose illnesses; enhancing insight, development and learning. Small companies are playing an increasingly important role in helping Big Pharma make AI a core part of their discovery engine.