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Full-Text Articles in Analytical, Diagnostic and Therapeutic Techniques and Equipment
Outbreak Of Ebola Virus Disease, Alexandra Dimit, Tiffany Kneuss, Joelle Farano, Haley Armstrong, Jodi Otte, Andrew M. Roecker
Outbreak Of Ebola Virus Disease, Alexandra Dimit, Tiffany Kneuss, Joelle Farano, Haley Armstrong, Jodi Otte, Andrew M. Roecker
Pharmacy and Wellness Review
Ebola virus disease (EVD) has existed as a major health concern with devastating and, many times, fatal symptoms. The recent outbreaks of EVD in West Africa and the Democratic Republic of the Congo (DRC) have incited international concern. In this article, the implications of EVD will be discussed including the etiology, transmission, signs and symptoms, diagnosis and treatment of the disease. In addition to this discussion, the manner in which major health care organizations, including the World Health Organization (WHO), are dealing with treating infected patients and containing spread of the disease will be covered.
Genomic Prediction Of Relapse In Recipients Of Allogeneic Haematopoietic Stem Cell Transplantation., J Ritari, K Hyvärinen, S Koskela, M Itälä-Remes, R Niittyvuopio, A Nihtinen, U Salmenniemi, M Putkonen, L Volin, T Kwan, T Pastinen, J Partanen
Genomic Prediction Of Relapse In Recipients Of Allogeneic Haematopoietic Stem Cell Transplantation., J Ritari, K Hyvärinen, S Koskela, M Itälä-Remes, R Niittyvuopio, A Nihtinen, U Salmenniemi, M Putkonen, L Volin, T Kwan, T Pastinen, J Partanen
Manuscripts, Articles, Book Chapters and Other Papers
Allogeneic haematopoietic stem cell transplantation currently represents the primary potentially curative treatment for cancers of the blood and bone marrow. While relapse occurs in approximately 30% of patients, few risk-modifying genetic variants have been identified. The present study evaluates the predictive potential of patient genetics on relapse risk in a genome-wide manner. We studied 151 graft recipients with HLA-matched sibling donors by sequencing the whole-exome, active immunoregulatory regions, and the full MHC region. To assess the predictive capability and contributions of SNPs and INDELs, we employed machine learning and a feature selection approach in a cross-validation framework to discover the …