RAPID REVIEW OF ADVANCES IN MOLECULAR DIAGNOSTICS AND FORENSIC MEDICINE CHALLENGES IN HEALTHCARE: THE CONTEXT OF PRECISION MEDICINE AND ARTIFICIAL INTELLIGENCE
Main Article Content
Keywords
Molecular diagnostics, Forensic medicine, Artificial intelligence, Precision medicine, Multi-omics, Epigenetics, CRISPR, Digital biobanking
Abstract
Background
Forensic medicine and healthcare are two of the fastest evolving fields, thanks to molecular diagnostics and a variety of “technologies such as next-generation sequencing”, CRISPR, and microfluidic DNA tools, which are able to improve detection of disease, evidence interpretation and molecular autopsies, while the clinical and legal contexts enjoy better speed, accuracy and data integration with the help of AI.
Method & Data
Google Scholar searches after 2024 were used to conduct a rapid review. A combination of terms linking precision care, molecular diagnostics and forensic medicine were used to identify sixty-three records and find seventy-two records. PRISMA-style process was used to capture current trends and AI applications from 63 studies pruned after checking for duplications.
Findings
Various fields such as predictive modelling, forensic biomarker analysis, automation and multi-omics data interpretation are all connected through AI. Similarly, diagnosis, degraded DNA analysis, and digital autopsy workflows were found to be improved through molecular methods. But hindrances still exist, such as high implementation costs, regulatory inconsistency, ethical problems and limited global standardization.
Future Directions
AI-enabled diagnostics, digital biobanking, “epigenetic profiling, and integration of multi-omics data for precision” and “forensic applications” are some of the main fields that would be focused on through research. But various experts including clinicians, forensic experts and data scientists should collaborate to improve accessibility, governance and translational impact.
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