Research Paper Published | AI in Forensic Toxicology
We are pleased to highlight the publication of the research paper “AI in forensic toxicology: Machine learning for detection, classification, and prediction of Illicit substances” by Jitesh Kumar and co-authors.
This review explores how Artificial Intelligence (AI) and Machine Learning (ML) are transforming forensic toxicology through illicit substance detection, classification, spectral data analysis, predictive toxicology, and identification of emerging substances. It also discusses machine learning approaches such as Support Vector Machines, Random Forests, Artificial Neural Networks, and Deep Learning.
The paper examines key challenges including data availability, model interpretability, reproducibility, and legal admissibility, while highlighting future directions such as Explainable AI, Federated Learning, and high-throughput analytical integration.
📚 Journal: Legal Medicine and Drug Development
🔬 Research Area: AI, Machine Learning & Forensic Toxicology
🔗 DOI: 10.1016/j.lddd.2026.100571
🌐 IndianScientist: indianscientist.in
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