doi:10.1002/jmd2.12383 Mikhailova TL, Sishkova E, et al
Developing a simplified measure to predict the risk of autism spectrum disorders: Abbreviating the MCHAT-R using a machine learning approach in China
Hamaluba M, van der Pluijm RW, Weya J, Njuguna P, Ngama M, Kalume P, Mwambingu G, Ngetsa C, Wambua J, Boga M, Mturi N, Lal AA, Khuroo A, Taylor WRJ, Goncalves S, Miotto O, Dhorda M, Mutinda B, Mukaka M, Waithira N, Hoglund RM, Imwong M, Tarning J, Day NPJ, White NJ, Bejon P, Dondorp AM
Buyers making a decision based on the ingredient science rather than the marketing language need to weigh this carefully
Moreover, triple-fingerprinting approaches (combining, for example, TLC, HPLC, and UV-visible spectra) and multi-marker quantification are recommended to fully characterize extracts (Riaz et al., 2023)