Implementing predictive analytics can become one of the biggest competitive differentiators for any educational institution ...
Beauty R&D is shifting toward “materials intelligence,” using AI and atom-level simulation to model ingredient interactions, cut trial-and-error, reduce waste, and speed the development of safer, ...
The collaboration marks a turning point in AI-driven drug design and trial forecasting, de-risking the drug development ...
XCells Biotechnologies ("iXCells"), a leading provider of human cell-based solutions and custom iPSC services, and Rosebud ...
PharmTech spoke with Dr. Asma Patel, VP Global Commercial and Scientific Consulting–Drug Product, to find out how the growth ...
Abcam and the other 17 members of the partnership today launched the IHI project, LIGAND-AI, to advance AI-driven drug discovery through open science.
Europe’s easing of AI and data rules could unlock faster innovation. Tech experts detail the AI use cases most likely to ...
A risk prediction model using longitudinal eGFR data could help identify kidney transplant recipients at risk for graft ...
Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
Models using established cardiovascular disease risk factors had satisfactory predictive performance for 5-year CVD risk in ...
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