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Insurance Data May Predict ALS, Research Shows

A machine-learning model based on insurance information from amyotrophic lateral sclerosis (ALS) patients may be able to speed diagnosis of the disease in others, research suggests.

The findings were presented at the 30th International Symposium on ALS/MND, in the presentation “Machine learning model using insurance claims data to help predict future ALS diagnosis” (abstract EPI-10). The research was supported by Mitsubishi Tanabe Pharma America (MTPA).

It often takes a year or more after symptoms begin for people with ALS to be diagnosed correctly, a process that may require visiting several different specialists. 

Oxford Biodynamics PLC (LON:OBD) was spun out from Oxford University in June 2007 with the aim of translating fundamental scientific advances into a commercialised platform technology and a new generation of biomarkers for cancer, ALS and other diseases.

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