Researchers Tomohito Amano and Shinji Tsuneyuki of the University of Tokyo with Tamio Yamazaki of CURIE (JSR-UTokyo Collaboration Hub) have developed a new machine learning model to predict the ...

The high quality of the produced compounds revealed that the scoring model function was highly relevant for de novo drug creation. Overall, the study findings showed that the latent score ...

Identifying mechanisms that control molecular function is a significant challenge in pharmaceutical science and molecular engineering. Here, we present a novel projection pursuit recurrent neural ...

Machine perfusion of kidneys from brain-dead donors is currently performed in approximately a third of all kidneys considered for transplantation in the United States. Machine perfusion of kidneys ...

To understand impact of input and output parameters during optimization and degree of complexity, in the current study we numerically designed a bubble column reactor with a single sparger in the ...

Festo’s Eric Rice explains two commonly used concepts “(software-defined automation” and “function integration”) in simple terms before contextualizing how Festo applies these concepts. The goal of ...

The illustration depicts some of the innovative ideas that underpin the new machine learning model that can quickly and accurately predict the dielectric function of simple molecules, such as shifting ...