Automation and artificial intelligence are streamlining everything from regulatory tasks to clinical trials and drug development, helping life sciences companies bring treatments to patients faster.
According to NVIDIA’s inaugural State of AI in Healthcare and Life Sciences survey, two-thirds of participants say their organizations are actively using AI solutions, 73% say AI has helped reduce operational costs, and 81% say it has led to an increase in revenue.
1.Accelerating Clinical Trials Through Automation and AI:
Robotic process automation tools can be especially beneficial in this area by assessing patient records and matching them to appropriate trials.
2.The Role of Cloud and Advanced Analytics in Drug Discovery:
The drug discovery phase can be shortened by one or two years with AI. That’s because AI can identify and test the effects of different compounds faster than a human can.
3.Streamlining Documentation and Revenue Cycle Management With Agentic AI:
Life sciences is a highly regulated industry involving substantial paperwork. Agentic AI can help organizations more efficiently handle the red tape, which frees researchers to focus on the actual science.