Enrico Glaab

"My main research interest is the development and application of statistical learning, pathway and network analysis algorithms on biological data from high-throughput experiments using combinatorial optimisation. Currently, I am working on the integrative machine learning analysis of omics data from disease-related case-control studies, focussing on biomarker development for the neurodegenerative disorders Parkinson's and Alzheimer's disease.'

Molecular Gender Differences In Alzheimer’s Disease May Point To A New Drug Target

Alzheimer’s disease is the most common neurodegenerative disorder with an estimated 44 million affected people worldwide. The typical symptoms range from memory loss, confusion, short attention span to a wide variety of changes in mood and behavior, with devastating and […]