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Andrea Ganna is a FIMM-EMBL Group Leader at the Institute for Molecular Medicine Finland at the University of Helsinki. He specializes in statistical genetics and epidemiology. In this article Andrea shares his research interests and explains how deep learning approaches and artificial intelligence can be used to leverage information from large scale epidemiological datasets to predict or even prevent the course of human disease and optimize existing interventions in human health care.
The new study, published this week in Nature Communications, was led by the neural circuitry team at DANDRITE. The researchers’ findings are important for understanding the mechanisms on how visual perceptions arise within the brain. In this article, first author of the paper, PhD-student at DANDRITE Rune Nguyen Rasmussen, sheds a light on their new findings and its significance for understanding the visual system.
Four days with events on health research, health industry, environmental research and sustainability for all who are interested in research,…
New article published in Nature entitled “ATP13A2 deficiency disrupts lysosomal polyamine export” sheds light on a defective lysosomal polyamine exporter (ATP13A2) that represents a lysosome-dependent cell death pathway that may be implicated in several neurodegenerative disorders including Kufor-Rakeb syndrome – a rare form of inherited juvenile-onset Parkinson’s disease.