Jul 1
Artificial Intelligence (AI) is reasonably well established in discovery and preclinical research, with success in areas such as target identification and molecular modeling. However, in clinical development, adoption has been fragmented and challenging to embed across the lifecycle.
Read the full article by Rob DiCicco from Drug Discovery News here.
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