In a collaboration between Harvard Medical School, Sapienza University of Rome, Institute of Advanced Studies in Basic Sciences and Tehran University of Medical Sciences, the concepts of disease-specific protein coronas combined with sensor array technology and empowered by data science for early diagnosis of diseases. The team developed a sensor array that consisted of three different cross-reactive liposomes which are fatty molecules that caused protein coronas to form around them. Samples from different form of cancer were tested and the team found that the selected pattern of corona composition, through advanced computational data mining techniques detected by the nanoparticle sensor array, provided a unique "fingerprint" for each type of cancer. The presented tool was also tested on blood samples from people who were subsequently diagnosed with brain, lung, and pancreatic cancer up to eight years later, finding that their approach could identify and discriminate the cancers at the very early stages.
For more information about this article, please click following links:
Developed by the IASBS Computer Center