Gene prioritization aims to integrate complex, heterogeneous data to identify the most promising genes for biological validation among a set of candidates. Its goal is to help biological researchers ...
Optimizing Outcome Prediction in Diffuse Large B-Cell Lymphoma by Use of Machine Learning and Nationwide Lymphoma Registries: A Nordic Lymphoma Group Study The majority of patients with cancer receive ...
A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
We are introducing a new overarching approach to prioritisation and topic selection, which supports greater integration. This new approach will see the creation of a central and integrated ...
For 25 years NICE has acted as a trusted guide in health and care. We’ve provided health and care practitioners and commissioners with advice on the most clinically and cost-effective treatments, ...
Aim: On the basis of multitaxon biogeographical processes related to region-specific geohistory and palaeoclimate, we identified a balanced and area-effective protected area network (PAN) expansion in ...
Prioritising vulnerabilities with context has long been a challenge for cybersecurity teams, and it’s only getting harder as the number of published Common Vulnerabilities and Exposures (CVEs) ...
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