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Automated, AI-supported analyses in Alzheimer’s disease research - USA session
The DeePathology STUDIOTM is used for automated analysis of amyloid-β plaques species, microglia, astrocytes and neurons in histological slides of animal models of Alzheimer’s disease.

Join Prof. Jens Pahnke and Dr. Chen Sagiv to discuss how machine learning can improve quantitative analyses in brain research.

Dec 10, 2020 09:00 PM in Jerusalem

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Speakers

Prof. Jens Pahnke
Head of the Department of Neuropathology @University of Oslo & University Hospital Oslo Head of Neuropathology www.pahnkelab.eu
Current Affiliations: Full Professor I, Medical Faculty, University of Oslo (UiO), Oslo, Norway Head of the Department of Neuropathology, University Hospital Oslo (OUS), Oslo, Norway EU – COST action management committee representative for Norway Guest Professor/researcher, University of Lübeck (UzL) , LIED, Lübeck, Germany Guest Professor/researcher, Leibniz Institute of Plant Biochemistry (IPB), Halle, Germany Guest Professor/researcher, University of Latvia (UL) , Department of Pharmacology, Riga, Latvia
Dr. Chen Sagiv
Co founder & Co CEO @DeePathology Ltd.
Chen is a co founder and co CEO of DeePathology. Chen has a PhD in Applied Mathematics specializing in Computer Vision, dealing with time frequency analysis and variational methods. Chen also spent one year as a post doc at the University of Bremen focusing on uses of Group Theory for Image Analysis. Besides her academic studies Chen brings more than 25 years of experience in the industry, from algorithms development to managing a highly technological company. When Chen had to decide about her bachelor degree she thought over medicine on one hand and Mathematics on the other hand – where the latter was eventually chosen. Bringing Mathematics and AI to Pathology is a great way to combine both worlds.