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A recent study has introduced advancements in forensic science by demonstrating a method to determine the sex of individuals using thermally treated human hair. Researchers, including Gunashree B., Thomas M.W., and Rawat S., have utilized artificial intelligence (AI) in combination with Attenuated Total Reflectance Fourier Transform Infrared (ATR-FTIR) spectroscopy to analyze hair samples.

最近的一项研究通过展示一种利用热处理过的人类头发来确定个体性别的方法，推动了法医学的进步。包括 Gunashree B.、Thomas M.W. 和 Rawat S. 在内的研究人员结合使用人工智能 (AI) 和衰减全反射傅里叶变换红外光谱 (ATR-FTIR) 来分析头发样本。

This approach aims to enhance the accuracy of sex determination in biological evidence, which could play a critical role in criminal investigations..

这种方法旨在提高生物证据中性别鉴定的准确性，这可能在刑事调查中发挥关键作用。

The research focused on the chemical composition of human hair subjected to thermal treatment and how these changes can be analyzed using ATR-FTIR spectroscopy. By applying AI algorithms, the team was able to identify patterns and differences between male and female hair samples based on their spectral data.

研究聚焦于经热处理后人发的化学成分变化，以及如何利用ATR-FTIR光谱分析这些变化。通过应用人工智能算法，团队能够根据光谱数据识别男性和女性头发样本之间的模式和差异。

The findings highlight the potential for this technique to provide reliable results even when traditional DNA analysis is not possible due to sample degradation or contamination. The study represents a step forward in forensic methodologies, offering an additional tool for investigators handling complex cases involving biological evidence..

研究结果强调了即使在因样本降解或污染而无法进行传统DNA分析时，这种技术仍能提供可靠结果的潜力。该研究代表了法医学方法的进步，为处理涉及生物证据的复杂案件的调查人员提供了一种额外的工具。

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Date: December 1, 2025

日期：2025年12月1日

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