NeoNeuro was created to focus the aptamer expertise of NeoVentures Biotechnology Inc, a leader in aptamer development based in Canada. NeoNeuro is registered in Paris, and all research activities are currently taking place within ICM facilities at l’Hôpital Pitié Salpêtrière in Paris. NeoNeuro is focused on the development of aptamer based solutions for the diagnosis of Alzheimer’s disease.
NeoVentures has licensed proprietary platforms including their free/free selection approach FRELEX to NeoNeuro for neurological applications.
For more information on aptamers in general please visit www.neoventures.ca
Dr. Gregory Penner
Dr. Gregory Penner comes from a very different background to the development of diagnostics for neurological disorders. His training was in quantitative genetics of crop breeding. He developed the cereal biotechnology effort for Agriculture Canada as a research leader, before becoming the global wheat genomics leader for Monsanto Inc. based in St. Louis. He left this position in 2002, to form NeoVentures Biotechnology Inc. an early aptamer development company. He led this company to commercialize the first aptamer based diagnostic test globally. While at Monsanto he was involved in mapping the recombinant genome of crop species and using these maps to advance crop breeding. Early efforts were frustrated as it was not possible to define genes for yield. Success was achieved when we accepted that we needed to develop genetic maps for every cross and apply the data within a cross.
Dr. Penner has now brought this personalized, agnostic approach to the development of an aptamer based diagnostic tool for the diagnosis of Alzheimer’s disease. He is the first to bring together both analysis of individual samples and deep data to identify fingerprints that can be used to diagnose the disease. The lingering belief that single biomarkers can explain complex diseases associated with aging like Alzheimer’s disease is a delusion. We are not going to succeed with AD by defining biomarkers and then personalizing them. We are going to succeed by working in the other direction, by identifying overlapping patterns in personalized fingerprints that can be generally correlated with the disease.