A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual. Bucholc Magda et al. Expert systems with applications 2019 Sep 130157-171

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Last Posted: Aug 21, 2019

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• A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.
  Bucholc Magda et al. Expert systems with applications 2019 Sep 130157-171
• Dementia, lifestyle and the genome 
  Genomics Education UK, August 19, 2019
• The MS4A gene cluster is a key modulator of soluble TREM2 and Alzheimer's disease risk.
  Deming Yuetiva et al. Science translational medicine 2019 Aug (505)
• Can a Healthy Lifestyle Reduce Your Risk of Dementia Regardless of Your Genes?
  S Bowen et al, CDC Blog, August 14, 2019
• Apolipoprotein E and Alzheimer disease: pathobiology and targeting strategies.
  Yamazaki Yu et al. Nature reviews. Neurology 2019 Jul
• Sleep and Memory: The Promise of Precision Medicine.
  Carter Patricia et al. Sleep medicine clinics 2019 Sep 14(3) 371-378
• A Novel Ensemble-Based Machine Learning Algorithm to Predict the Conversion From Mild Cognitive Impairment to Alzheimer's Disease Using Socio-Demographic Characteristics, Clinical Information, and Neuropsychological Measures.
  Grassi Massimiliano et al. Frontiers in neurology 2019 10756
• Towards clinical utility of polygenic risk scores.
  Lambert Samuel A et al. Human molecular genetics 2019 Jul
• Should you find out if you’re at risk of Alzheimer’s?
  Genomes 2 People, Wall Street Journal, July 2019
• A Weighted Genetic Risk Score Based on Four APOE-Independent Alzheimer's Disease Risk Loci May Supplement APOE E4 for Better Disease Prediction.
  Zhang Chunyu et al. Journal of molecular neuroscience : MN 2019 Jul

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