neutralize baldness-causing reactive oxygen species in the scalp. They selected the best candidate and constructed a proof-of-concept microneedle patch to show that it can effectively regenerate hair on mice. The study was recently published in ACS’Most people with substantial hair loss have the condition androgenic alopecia. This is also known as male- or female-pattern baldness.
One of these enzymes is superoxide dismutase , and researchers have recently created SOD mimics called “nanozymes.” But so far, those that have been reported aren’t very good at removing oxygen free radicals. So, Lina Wang, Zhiling Zhu, and colleagues wanted to see whether machine learning, a form of AI, could help them design a better nanozyme for treating hair loss.
For potential nanozyme candidates, the researchers chose transition-metal thiophosphate compounds. They tested machine-learning models with 91 different transition-metal, phosphate, and sulfate combinations, and the techniques predicted that MnPSnanosheets were synthesized through chemical vapor transport of manganese, red phosphorus, and sulfur powders.
Reference: “Machine Learning Guided Discovery of Superoxide Dismutase Nanozymes for Androgenetic Alopecia” by Chaohui Zhang, Yixin Yu, Shugao Shi, Manman Liang, Dongqin Yang, Ning Sui, William W. Yu, Lina Wang and Zhiling Zhu, 20 October 2022,
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