
GenoMed4ALL is an European project, funded under the call “Societal Challenges - Health, demographic change and well-being” with grant agreement ID: 101017549, with start date 1 January 2021 and end date 30 June 2025. GenoMed4ALL aims to demonstrate the potential and benefits of trustable and explainable AI technologies to exploit the powerful set of “omics” data for advancing research and personalized medicine. The use cases are three Haematological Diseases (HDs), oncological and non-oncological. The three use cases involved in the project are: Myelodysplastic syndromes (MDS) Multiple Myeloma (MM) Sickle Cell Disease (SCD) We are committed to promoting transparency, data sharing, and collaborative scientific growth by making high-quality, peer-reviewed information readily accessible: the metadata related to each use case is here uploaded, while access to the raw data is restricted to research groups with prior approval. Although the application forms are specific to each disease, they share a similar structure and set of questions. The following are the links to these forms: Myelodysplastic syndromes (MDS): https://ec.europa.eu/eusurvey/runner/MDS-AccessGenomed4AllData Multiple Myeloma (MM): https://ec.europa.eu/eusurvey/runner/MM-AccessGenomed4AllData Sickle Cell Disease (SCD): https://ec.europa.eu/eusurvey/runner/SCD-AccessGenomed4AllData
Metadata, Myelodysplastic Syndromes/blood, Metadata parameters, Anemia, Sickle Cell, Multiple Myeloma, Haematology, Rare Diseases/blood
Metadata, Myelodysplastic Syndromes/blood, Metadata parameters, Anemia, Sickle Cell, Multiple Myeloma, Haematology, Rare Diseases/blood
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
