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AI and Machine Learning Facilitates Faster Path to Personalized Medicine

Artificial intelligence (AI) expert Jackie Hunter reveals how mining the depths of millions of hours of research identifies potential targets and solid candidates for drug discovery as it builds a future for individualized patient care.


SLAS Journals Showcase Scientific Advancements

By Alan E. Fletcher, Ph.D.

It takes the talent and scientific know-how of nearly 1,000 volunteers each year to publish SLAS’s two scientific journals, SLAS Discovery and SLAS Technology. This includes authors, reviewers, Editorial Board members and editors – all with the goal of presenting the very best in peer-reviewed research for our specialized audience.


A New View of Engineering Innovations for Personalized Medicine

A special issue of SLAS Technology showcases the technology demands for personalized medicine and reveals how life sciences engineers approach the development cycle with the end user in mind to ensure translational opportunities. “Many times you create an innovative instrument that works perfectly in your lab and never really gets translated into use where it’s most needed,” says Claire Hur, Ph.D. “We need to make tools and techniques that the clinical technician or the patient can use – not just the Ph.D. student who developed it.”