In clinical trials, AI and automation offer transformative potential.
Reinforcement learning is used to address the challenge posed by the fact that naturally occurring protein subunits associate with each other in a way that cannot be replicated with current design approaches due to evolutionary selection.
To find novel drug leads, a machine learning algorithm was used to examine the descriptions of several substances. Results were found promising for potential antiparkinsonians.
Clinical trial use of AI is expected to increase, particularly in the area of medical coding.
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