PACE™

DNA mixtures with more than two contributors can be difficult for laboratories to interpret. It can be even more challenging with traditional software to determine how many people contributed to one DNA sample.

Through the patented Probabilistic Assessment for Contributor Estimate (PACE™), developed by Syracuse University, NicheVision aims to solve these problems.

PACE™ serves as a plug-in for DNA profiling software suites. Using machine learning, a form of artificial intelligence, PACE™ provides the number of up to four contributors in a DNA sample with 98% accuracy. PACE™ can classify mixtures in less than one second using a standard laptop or desktop computer – compared to the typical nine hours it takes through current methods.

PACE™ is improving DNA mixture interpretation and setting trends for the entire DNA analysis industry. This machine learning-based method outperformed a human expert by 6% on a three-person sample and 20% on a four-person sample. (Research findings featured in Forensic Science International: Genetics). Overall, researchers believe PACE™ is representative of the future in how DNA is analyzed.

By incorporating innovative technology into DNA analysis software, PACE™ is providing quick, accurate results from difficult-to-read samples, ultimately saving laboratories time and money.

Download our PACE Brochure Download our PACE Brochure Download our PACE Brochure Download our PACE Brochure for more details and schedule a demo of this exciting technology in your lab with your samples.

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