Accuracy of quality of life questionnaire as a diagnostic tool for SARS-CoV-2 pulmonary sequelae.

Background: Follow-up after hospital discharge of SARS-CoV-2 survivors represents a huge burden on the healthcare system. We attempt to assess the utility of symptoms and health-related quality of life questionnaire (SF-12) to identify SARS CoV2 pulmonary sequelae.

Methods: Prospective, non-interventional follow-up study.

Accuracy of quality of life questionnaire as a diagnostic tool for SARS-CoV-2 pulmonary sequelae.

Background: Follow-up after hospital discharge of SARS-CoV-2 survivors represents a huge burden on the healthcare system. We attempt to assess the utility of symptoms and health-related quality of life questionnaire (SF-12) to identify SARS CoV2 pulmonary sequelae.

Methods: Prospective, non-interventional follow-up study.

ADataViewer: exploring semantically harmonized Alzheimer's disease cohort datasets.

Background: Currently, Alzheimer's disease (AD) cohort datasets are difficult to find and lack across-cohort interoperability, and the actual content of publicly available datasets often only becomes clear to third-party researchers once data access has been granted. These aspects severely hinder the advancement of AD research through emerging data-driven approaches such as machine learning and artificial intelligence and bias current data-driven findings towards the few commonly used, well-explored AD cohorts. To achieve robust and generalizable results, validation across multiple datasets is crucial.

Erratum: Publisher Correction: ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases.

[This corrects the article DOI: 10.1038/s41540-018-0078-8.].

ComPath: an ecosystem for exploring, analyzing, and curating mappings across pathway databases.

Although pathways are widely used for the analysis and representation of biological systems, their lack of clear boundaries, their dispersion across numerous databases, and the lack of interoperability impedes the evaluation of the coverage, agreements, and discrepancies between them. Here, we present ComPath, an ecosystem that supports curation of pathway mappings between databases and fosters the exploration of pathway knowledge through several novel visualizations. We have curated mappings between three of the major pathway databases and present a case study focusing on Parkinson's disease that illustrates how ComPath can generate new biological insights by identifying pathway modules, clusters, and cross-talks with these mappings.