Abstract

Nuclear Magnetic Resonance (NMR) spectroscopy plays a crucial role in forensic sciences by providing detailed chemical information about substances present in biological samples such as blood. NMR spectroscopy is a versatile tool in forensic sciences, offering non destructive and high-resolution analysis of biological samples like blood. Machine learning tools are increasingly employed in forensic investigations to enhance data analysis, pattern recognition, and decision-making processes. These tools aid in processing vast amounts of forensic data efficiently and uncovering hidden insights from complex datasets. Its ability to provide detailed chemical information aids in substance identification, quantitative analysis, and understanding of NMR data interpretation, making it invaluable in criminal investigations and forensic pathology.

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Data Sharing Statement

Funding