Victory in research competition for quality assurance of patient data

Researchers from Halmstad University and Lund University have won an AI competition announced by the US Food and Drug Administration, FDA. The purpose of the competition was to develop a system for tracing mislabelled cancer patient data.

Accidental mislabeling or swapping of patient samples can lead to inaccurate healthcare decisions. The problem is so great that the US Food and Drug Administration, the FDA, last autumn announced a competition to find solutions. The competition was part of former President Barack Obama’s ”Precision Medicine Initiative” from 2015. Mattias Ohlsson is a Professor in Information Technology at Halmstad University and won the competition together with colleagues from Lund University. Their solution, which is based on machine learning, can search large amounts of data and find deviations connected to incorrectly documented patient data.

Man smiling at the camera.

Mattias Ohlsson is a Professor in Information Technology at Halmstad University and won the competition together with colleagues from Lund University.

PUBLISHED

2019-05-03

Contact

Share