Sumar Chan, Newman Caddies, Sameer Dhumale and Abduelmenem Alashkham have developed a new statistical framework that improves the accuracy of estimating biological sex from human mandibles. The study, published in Anatomical Science International, uses a combined OPLS and LDA approach on 109 historical skeletal specimens from Indian and Malay populations, achieving accuracy rates of up to 87.4%. The findings suggest that the method could enhance forensic identification by improving reliability across diverse populations and reducing confounding variation in traditional models. The article can be accessed via https://link.springer.com/article/10.1007/s12565-026-00932-y Publication date 08 May, 2026
