As a forensic chemist, I want to determine the most appropriate testing method for large batches of seized drugs, so that I can ensure accurate and efficient sample calculations and analysis.
Automated Sample Selection Algorithms: AI could optimize representative sampling based on batch size, substance type, and statistical models.
AI-Powered Method Recommendation Systems: AI could analyze batch characteristics and suggest the most suitable analytical method (e.g., presumptive vs. confirmatory testing).
Machine Learning for Substance Classification: AI could predict the most probable drug composition based on initial screening results, reducing redundant tests.
AI-Enhanced Quality Control: AI could detect anomalies in test results, flagging potential contamination or misidentifications.
Predictive Workload Balancing: AI could distribute batch testing efficiently across available instruments and analysts to minimize bottlenecks.
Our mission is to inspire the forensic science community to explore how AI can transform their practice—enhancing reliability, efficiency, and decision-making while valuing transparency and trust
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
Transforming industries by delivering innovative AI solutions that drive success and create value for businesses of all sizes.
