NYC Healthcare News

Brain research funds crisis: Report

April 09, 2016

Currently, clinicians make the final diagnosis by combining heterogeneous measurements with information from interviews of the patient and relatives. This process involves subjective reasoning and requires strong expertise from the clinicians. Modern hospitals have huge data reserves containing hidden information that could be utilised in diagnostics by systematic mathematical modelling.

PredictAD has designed a totally novel approach for measuring objectively the state of the patient. This decision support system, developed in close collaboration with clinicians, compares patient measurements with measurements of other patients in large databases and provides at the end an index and graphical representation reflecting the state of the patient. "The PredictAD tool provides a new option to support decision making", says Prof. Hilkka Soininen from the University of Eastern Finland, leading the clinical validation of the project.

Possibilities for significant savings in health costs

Prof. Gunhild Waldemar from Copenhagen University Hospital, Rigshospitalet emphasises the importance of the Alzheimer's disease research: "Successful, early diagnostics combined with the novel drugs under development and early psychosocial care may delay the institutionalisation of patients, reducing suffering and the costs to the society. It has been calculated that delaying the onset of the disease by five years would halve all costs of Alzheimer's disease and delaying onset and progression by only one year would reduce the number of Alzheimer's cases by about 10%."

"Diagnostic companies like GE Healthcare and pharmaceutical companies are investing heavily in this area. Commercialisation of the results is already ongoing in PredictAD", says Dr Lennart Thurfjell from GE Healthcare Ltd leading the activities of dissemination and exploitation.

Source: VTT Technical Research Centre of Finland