SLAS Technology Special Collection on Artificial Intelligence in Process Automation Available Now – Newswise

Newswise Oak Brook, IL The February edition of SLAS Technology is a special collection of articles focused on Artificial Intelligence in Process Automation by Guest Editor Cenk ndey, Ph.D. (Amgen, Thousand Oaks, CA, USA).

This SLAS Technology special collection targets the use of artificial intelligence (AI) techniques and technologies as applied specifically to drug discovery, automated gene editing and machine learning. As AI becomes increasingly more prevalent in research, medicine and even everyday life, laboratory automation has gone beyond hardware advancements toward new levels of precision and complexity. Beyond research, AI serves as a powerful tool for clinicians diagnosing and treating patients in a medical setting. The AI advancements presented in this issue highlight the wide spectrum of medical AI breakthroughs.

This months issue of SLAS Technology also celebrates the top 10 most-cited articles within the journals history. Over the past decade, the publications priority has been to provide a platform for researchers to share technological advancements as well as a resource to continually share the impact of technology on life sciences and biomedical research.

The February issue of SLAS Discovery includes nine articles of original research in addition to the cover article.

Articles of Original Research include:

Other articles include:

Access to Februarys SLAS Technology issue is available at http://journals.sagepub.com/toc/jlad/26/1.

For more information about SLAS and its journals, visitwww.slas.org/journals. Access a behind the scenes look at the latest issue with SLAS Technology Authors Talk Tech podcast. Tune into Februarys episode by visiting https://slastechnology.buzzsprout.com/.

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SLAS (Society for Laboratory Automation and Screening) is an international professional society of academic, industry and government life sciences researchers and the developers and providers of laboratory automation technology. The SLAS mission is to bring together researchers in academia, industry and government to advance life sciences discovery and technology via education, knowledge exchange and global community building.

SLAS Discovery: Advancing the Science of Drug Discovery, 2019 Impact Factor 2.195. Editor-in-Chief Robert M. Campbell, Ph.D., Twentyeight-Seven Therapeutics, Boston, MA (USA).

SLAS Technology: Translating Life Sciences Innovation, 2019 Impact Factor 2.174. Editor-in-Chief Edward Kai-Hua Chow, Ph.D., National University of Singapore (Singapore).

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SLAS Technology Special Collection on Artificial Intelligence in Process Automation Available Now - Newswise