A/Professor Pablo Moscato – using new technology to better predict Alzheimer’s disease

Jun 3 2010

Associate Professor Pablo Moscato and Dr Martín Ravetti from the University of Newcastle are using computer technology and complex mathematical formulas to achieve greater accuracy in predicting and treating many illnesses, including Alzheimer’s disease.

Associate Professor Pablo Moscato
They recently discovered a 5-protein biomarker molecular signature that achieves a 96 per cent total accuracy in predicting clinical Alzheimer’s Disease.

The results were based on a recent molecular dataset, and reveals the true predictive potential of testing for Alzheimer’s Disease using molecular means, and illustrates that improved results can be obtained with the abundance of only five signalling proteins.