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Section: Research > Methods/Tools

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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.

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Patent Pick: Growing 3D Skin Predictions

A product manufacturer's reputation is perhaps its greatest asset, and growing numbers of cosmetic consumers with sensitive skin only raise the product development bar. That's where patented inventions such as this, a 3D skin model, can ensure product safety and support cosmetovigilance initiatives.

After simulating more than 100 prescriptions, a correlation between the actual cleansing rate and the simulation results of how dirt is absorbed was found, according to research from the companies.

System Developed for Predicting Makeup Removal Performance of Cleansing Agents

After simulating more than 100 mixtures, a group of researchers from Kirin Holdings, FANCL and Keio University identified a correlation between the actual cleansing rate and simulated results of how dirt is absorbed.

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Quantifying Well Aging: A Mathematical Sketch to Predict Age

There is no biological evidence to explain why some individuals look older or younger than they really are. This work sought to quantify the cutaneous characteristics of well aging based on focus group input, word clouds, biometric measurements and more.

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.

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[video] Shiseido on AI to Predict Skin Needs

Remember the "old days" when we traveled to live events? This interview is a nice throwback to the IFSCC Conference in Milan. Here, Kanako Kaneko, Ph.D., of Shiseido, presented her poster on AI to predict future skin needs.

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Kao Predicts 86 Changes in Skin with Age, Menstrual Cycle and More

Kao Corp. has designed a technique using AI and RNA from skin lipids to predict 86 constantly changing skin attributes. Results indicate shifts in skin moisture, transparency and glycosylation with age and during the menstrual cycle.

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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.

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