Monoclonal antibody (mAb) manufacturing must continually improve to keep up with increasing demands. To do this, biomanufacturers can deploy machine learning tools to augment traditional process ...
Validating drug production processes need not be a headache, according to AI researchers who say machine learning (ML) could be a single answer to biopharma’s multivariate problem. The FDA defines ...
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More The training process for artificial intelligence (AI) algorithms is ...
Ultrafiltration membranes used in pharmaceutical manufacturing and other industrial processes have long relied on separating molecules by size. Now, Cornell researchers have created porous materials ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
Big data has become a big challenge for space scientists analyzing vast datasets from increasingly powerful space instrumentation. To address this, a team has developed a machine learning tool to ...
Long Yuan, PhD, director of the Department of Drug Metabolism and Pharmacokinetics at Biogen, explains how artificial ...
A new machine learning process designed to identify and classify hip fractures has been shown to outperform human clinicians. Two convolutional neural networks (CNNs) were able to identify and ...
IIT Delhi’s 6-month programme offers faculty-led, hands-on training in Data Science, ML, Deep Learning and Generative AI, ending with a valuable certificate.
BROOKLYN, N.Y.--(BUSINESS WIRE)--Pienso, the leading machine learning platform for non-programmers, today announces the close of a $2.1 million seed round. Led by Eniac Ventures, with participation ...
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