Biopharmaceutical manufacturing of proteins requires an efficient cell line. Starting with several thousand clones, researchers use multiple selection rounds to ultimately chose one clone for the ...

Predictive biomarkers to guide selection of first-line chemotherapy for advanced pancreatic ductal adenocarcinoma (PDAC) are an unmet clinical need. This study used the Computational Histology ...

Learn about how predictive analytics works, the types, benefits, use cases, and top tools. Predictive analytics is a process that uses statistics and modeling techniques to make informed decisions and ...

Predictive models are used across the student life cycle in higher education, to gauge yield in admissions as well as retention and graduation initiatives, as campus leaders look to understand what ...

Predictive Oncology aims to enhance drug discovery using its biobank and AI, following industry trends exemplified by Regeneron's 23andMe acquisition. Predictive Oncology Inc. is leveraging its ...

Semiconductor logic and memory technology development continues to push the limits of process complexity and cost, especially as the industry migrates to the 5 nm node and beyond. Optimization of the ...