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4 Results
Type: News
Section: Testing
AbstractComputerChemicalTech_850x425
Neural Networks Predict Material Structures, Behaviors Faster
A recent interview on Phys.org with Argonne National Laboratory Engineer Mark Messner explores how neural networks in AI could be used to predict material structures, given preferred properties, some 2,000+ times faster than standard simulations.
Jul 13th, 2021
The Pistoia Alliance is a not-for-profit organization working to lower barriers to innovation in life science and healthcare R&D.
Survey Predicts AI, Blockchain, Emerging Tech will Receive Most Funding
In a recent survey, respondents predicted that emerging technologies including AI and blockchain, and startup biotech will be the biggest contributors to life science innovation post-pandemic.
May 24th, 2021
The model accurately predicted skin permeability and the speed of the UHPLC method could classify it as a high-throughput approach.
Test Model Developed to Predict Skin Permeability of Compounds
A test model published in the Journal of Chromatography A uses retention on octadecyl, cholesterol-bonded and immobilized artificial membrane columns to accurately predict the skin permeability of compounds.
Jul 7th, 2022
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Study Reveals Factorial Model to Predict O/W Emulsion Stability
A study published in the Journal of Pharmacy & Pharmacognosy Research confirmed an approach to predict the physical stability and quality of o/w cosmetic emulsions using full factorial design.
Nov 6th, 2020
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