Predictive modeling facilitates the identification of coformers, cocrystal components, and complexing agents. Poor water solubility continues to present a major challenge to formulators. Poor ...
Applying model-predictive methods and a continuous process-control framework to a continuous tablet-manufacturing process. Currently, there is a high level of interest in the pharmaceutical industry ...
The efficient management of hospital resources, particularly in terms of bed utilisation and staff allocation, is increasingly critical in modern healthcare systems. Predictive modelling for hospital ...
The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...
Ozion OPRA™ Predictive Resource Allocation – A visual breakdown of how predictive analysis, automation, and real-time optimization enhance airport operations. Click to enlarge. Aviation's real-time ...
Prediction of cancer treatment response from histopathology images through imputed transcriptomics. This is an ASCO Meeting Abstract from the 2023 ASCO Annual Meeting I. This abstract does not include ...
NEW YORK & TEL AVIV, Israel--(BUSINESS WIRE)--Pecan AI, the leader in AI-based predictive analytics for BI analysts and business teams, today announced that it has opened its predictive analytics ...
—This large, population-based study of patients with PP-DLBCL assessed prognostic factors and confirmed that certain common therapeutic interventions can modify disease progression. Being age 65 years ...
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