AI Article Synopsis

  • A recent conference featured a panel of scientists from both small and large pharmaceutical companies discussing the intersection of machine learning (ML) and ADME/Tox (absorption, distribution, metabolism, excretion, and toxicology).
  • The discussion highlighted diverse viewpoints on the historical and current impact of AI in the pharmaceutical industry and its potential future applications.
  • The panel also explored emerging areas, including the use of AI in the development and study of nanomaterials.

Article Abstract

A recent conference organized a panel of scientists representing small and big pharma companies, who work at the interface of machine learning (ML) and absorption, distribution, metabolism, excretion, and toxicology (ADME/Tox). With the recent rebirth of AI related to pharma, it is timely to present this collaborative commentary to capture the diverging opinions on the past, present and future role of AI for ADME/Tox and how it can be applied in newer areas such as nanomaterials.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6594826PMC
http://dx.doi.org/10.1038/s41563-019-0332-5DOI Listing

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