Every production process is, at its core, a black box. Engineers set parameters such as temperatures, pressures, feed rates, ...

A new Bayesian framework called PIML combines machine learning analysis of electrical impedance signals with clinical prior ...

This is an analysis of the latest global articles on cell culture technology from the past week, compiled by Troy ...

At ISC 2016, Edward Ahearne, a Senior Analytical Scientist in AstraZeneca's Early Chemical Development New Modalities group, was interviewed by LCGC International on why his team combined automated ...

Korean researchers have developed an AI technology for self-driving laboratories (SDLs) that incorporates researchers' experience and knowledge, expressed in natural language, into autonomous ...

Maintaining an appropriate fruit load is essential for balancing yield and quality in pear production, yet growers still rely ...

This article is long. However, to make it worth revisiting, I have provided three guideposts. Guidepost 1: Confidence Labels ...

Ed Ahearne combined automation , machine learning and Bayesian optimization to speed up method development for siRNA medicines. At ISC 2016, Edward Ahearne of AstraZeneca’s Pharmaceutical Sciences - ...

Fruit quality formation is regulated by the balance between assimilate supply from leaves and demand from developing fruits. Excessive fruit load ...

An artificial intelligence (AI) system for autonomous laboratories that can understand knowledge conveyed by researchers through speech or text and reflect it in experimental planning has been ...

AI incorporates researchers’ knowledge and experience expressed in natural language into experimental planning, reducing the ...

Initial and updated cohort data from ongoing Phase 1/2 study of highly selective non-brain-penetrant PARP1 inhibitor EIK1003 continue to support ...