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Published in 2023 at "JAMA Network Open"
DOI: 10.1001/jamanetworkopen.2023.12231
Abstract: Key Points Question Do rare disease experts endorse genome sequencing of newborns to screen for treatable genetic diseases, and do they agree on which genes to include? Findings In this survey study of 238 rare…
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Keywords:
rare disease;
genome sequencing;
disease;
perspectives rare ... See more keywords
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Published in 2023 at "Cancer"
DOI: 10.1002/cncr.34765
Abstract: PLAIN LANGUAGE SUMMARY Social media platforms like Facebook and Twitter have revolutionized rare disease research and have catalyzed the connection among patients with rare cancers. A new study from the Germ Cell Tumor Survivor Sisters…
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Keywords:
social media;
rare disease;
disease;
disease research ... See more keywords
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Published in 2022 at "Human mutation"
DOI: 10.1002/humu.24358
Abstract: The amount of data available from genomic medicine has revolutionized the approach to identify the determinants underlying many rare diseases. The task of confirming a genotype-phenotype causality for a patient affected with a rare genetic…
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Keywords:
medicine;
open source;
disease;
network ... See more keywords
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Published in 2022 at "Human Mutation"
DOI: 10.1002/humu.24366
Abstract: Exome and genome sequencing have become the tools of choice for rare disease diagnosis, leading to large amounts of data available for analyses. To identify causal variants in these datasets, powerful filtering and decision support…
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Keywords:
web based;
tool;
rare disease;
disease ... See more keywords
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Published in 2022 at "Human Mutation"
DOI: 10.1002/humu.24380
Abstract: Rare disease diagnostics and disease gene discovery have been revolutionized by whole‐exome and genome sequencing but identifying the causative variant(s) from the millions in each individual remains challenging. The use of deep phenotyping of patients…
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Keywords:
rare disease;
phenotype driven;
disease;
diagnosis ... See more keywords
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Published in 2017 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-319-67144-4_13
Abstract: Innovative rare disease therapies and health technology assessment (HTA) share a lot of similarities. Both represent cases of interaction of epidemiology and health economics. Both are relatively new topics in public health practice. And both…
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Keywords:
health;
rare disease;
technology assessment;
health technology ... See more keywords
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Published in 2017 at "Netherlands Heart Journal"
DOI: 10.1007/s12471-017-0976-1
Abstract: The spectacular fall in cardiovascular mortality that has occurred in most western societies in the past 40 years has contributed significantly to a steady rise in life expectancy. The Royal Dutch Actuarial Association has estimated,…
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Keywords:
atherosclerosis rare;
rare disease;
disease;
children born ... See more keywords
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Published in 2019 at "Journal of Community Genetics"
DOI: 10.1007/s12687-019-00430-x
Abstract: Human germline genome editing may prove to be especially poignant for members of the rare disease community, many of whom are diagnosed with monogenic diseases. This community lacks broad representation in the literature surrounding genome…
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Keywords:
genome editing;
germline genome;
community;
rare disease ... See more keywords
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Published in 2019 at "Pharmaceutical Medicine"
DOI: 10.1007/s40290-019-00316-w
Abstract: Background Rare diseases (defined as affecting
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Keywords:
patient registries;
rare disease;
disease;
evidence ... See more keywords
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Published in 2018 at "Cell systems"
DOI: 10.1016/j.cels.2018.01.008
Abstract: Rare neurological diseases shed light onto universal neurobiological processes. However, molecular mechanisms connecting genetic defects to their disease phenotypes are elusive. Here, we obtain mechanistic information by comparing proteomes of cells from individuals with rare…
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Keywords:
mechanisms identified;
identified genealogical;
disease mechanisms;
rare disease ... See more keywords
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Published in 2019 at "Cell systems"
DOI: 10.1016/j.cels.2019.04.003
Abstract: Most gene expression datasets generated by individual researchers are too small to fully benefit from unsupervised machine-learning methods. In the case of rare diseases, there may be too few cases available, even when multiple studies are…
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Keywords:
transfer learning;
rare disease;
disease;
multiplier transfer ... See more keywords