Development of forensic medicine in Rwanda- past, present, and future perspectives

Advancement and the existing landscape of forensic medicine in Africa: A comparison with developed countries

This article explores the development and challenges of forensic medicine in Africa, comparing it to developed countries. It addresses limited resources, funding, and a shortage of trained professionals. The growth of forensic investigation capabilities and the challenges of funding and technology access are discussed. Training and education have improved, but disparities remain. Partnerships with developed countries and international organizations are crucial to bridge the gap. A comprehensive legal framework is important, but disparities exist among African countries. Harmonizing forensic laws would enhance cooperation. The role of forensic medicine in the criminal justice system is examined, emphasizing the need to build trust in forensic evidence. International collaboration and capacity building are key to advancing forensic medicine in Africa. Investments in infrastructure, funding, training, and legal frameworks are required. By leveraging partnerships, Africa can develop its forensic medicine capabilities for a fair and effective criminal justice system.

Research progress on the application of 16S rRNA gene sequencing and machine learning in forensic microbiome individual identification

Forensic microbiome research is a field with a wide range of applications and a number of protocols have been developed for its use in this area of research. As individuals host radically different microbiota, the human microbiome is expected to become a new biomarker for forensic identification. To achieve an effective use of this procedure an understanding of factors which can alter the human microbiome and determinations of stable and changing elements will be critical in selecting appropriate targets for investigation. The 16S rRNA gene, which is notable for its conservation and specificity, represents a potentially ideal marker for forensic microbiome identification. Gene sequencing involving 16S rRNA is currently the method of choice for use in investigating microbiomes. While the sequencing involved with microbiome determinations can generate large multi-dimensional datasets that can be difficult to analyze and interpret, machine learning methods can be useful in surmounting this analytical challenge. In this review, we describe the research methods and related sequencing technologies currently available for application of 16S rRNA gene sequencing and machine learning in the field of forensic identification. In addition, we assess the potential value of 16S rRNA and machine learning in forensic microbiome science.