Persistent Systems partnered with LungLife AI to develop an AI that uses image recognition and analysis software and a machine-learning algorithm to detect signs of cancer in blood samples. This speed up the analysis and, it also cuts down on false positives.
LungLifeAI uses machine learning and artificial intelligence to reduce analysis time by nearly 70%.
LunglifeAI wanted to increase precision to reduce high false positives rates and reduce missed CTCs in other classes. Additionally, the wanted to reduce the extensive manual observation required which resulted in a high cost and time consuming analysis.
LungLifeAI, a pioneer in LiquidBiopsy® technology, uses machine learning and artificial intelligence to enable life-saving early diagnosis of lung cancer. Persistent’s AI algorithms have reduced analysis time by nearly 70% thereby accelerating LungLife’s efforts to greatly reduce the impact of a disease that claims around 400 lives per day.
The solution enabled LungLifeAI to reduce analysis time by nearly 70% and realize a reduction of 62% in the number of falsely detected CTCs. Additionally, LungLifeAI was able to achieve 94% recall across the cases, showing an improvement over 72.9%.
- Life Sciences Innovation & Engineering
- Custom image annotation using open source Python libraries
- Deep learning model using open source Python Libraries TensorFlow/Keras