Artificial intelligence (AI) is revolutionizing the field of medicine by providing new tools for diagnosis, treatment, and research. AI can analyze large amounts of medical data to help doctors make more accurate diagnoses, develop personalized treatment plans, identify promising candidates for new drugs, and assist with clinical research. It can also provide support to healthcare providers and make personalized recommendations to patients. By analyzing vast amounts of data and providing support to healthcare providers, AI has the potential to improve the accuracy and effectiveness of medical care.

AI can speed up the procedures of gathering and accessing information, cutting medication development time in half and keeping the cost of new medicines in check. This is becoming increasingly important as the cost of identifying and developing medications rises. How much does it cost to produce a new drug? According to a 2020 study, the typical research and development expenditure for a new therapy was $985 million. The high trial failure rate contributed significantly to this expense.

The developed world is on the cusp of turning the corner in the fight against COVID-19 thanks to the unprecedented effort to rapidly develop and distribute effective vaccines. Now technologists are hoping to take drug development to the next level, and AI will play a big role. One of the companies at the forefront of using machine learning and AI to develop drugs is CytoReason. The company helps pharmaceutical firms like Pfizer accelerate drug development by providing high resolution models of the human body that's infected with the disease that the drug companies are targeting. "If I told you that in 200 years, drugs would be developed in a computer, you would not be real surprised," said CytoReason CEO and founder David Harel.