Machine Learning DNA System Wins Forensic Science Prize

Professor Adrian Linacre and the Towards a Smart PCR Process team have developed a DNA amplification system that employs real-time feedback and machine learning to enhance genetic data recovery from degraded or low-level samples. The technology, which adjusts the PCR process dynamically during operation, aims to improve forensic investigations by increasing usable results from trace evidence. In 2025, this innovation received the inaugural University of Technology Sydney and Australian Federal Police Eureka Prize for Excellence in Forensic Science, awarded through the Australian Museum Eureka Prizes. Beyond forensics, the system has potential applications in medical, agricultural, and pharmaceutical sciences where PCR methods are utilized. The development addresses challenges in forensic science validation and represents a significant advancement in integrating artificial intelligence into laboratory processes.