Watch a DOME Webinar on Machine Learning Best Practices & Recommendations on 24th September 2024 In recent years, there has been a substantial increase in scientific publications in journals publishing computational research such as ours utilising Machine Learning (ML). This represents a significant challenge for disseminating and assessing scientific research as the black box and […]

The post Machine Learning Standards in the Wild. DOME Webinar on ML Recommendations and Applications appeared first on GigaBlog.

As an Open Science publisher we’ve pushed for transparency and access in the research that we disseminate, and in GigaByte journal we’ve just published a new open-source software tool “GetFreeCopy” that is demonstrative and addresses many features of this. To tell us more we have a Q&A with lead author Kuan-lin Huang, an Assistant Professor of Genetics and Genomics &

Published today in GigaScience is a Data Note describing the National COVID-19 Chest Imaging Database (NCCID), a centralised database containing chest X-rays, Computed Tomography (CT) and MRI scans from patients across the UK. Utilising the UK National Health Service’s unique position as the world’s single largest integrated healthcare system, the benefits of collecting chest imaging data this large are extensive and already being used

A new article published today in GigaScience demonstrates that machine learning can yield “proxy measures” for brain-related health issues from large population data, without the need for a specialist’s assessment.

GigaScience has always had a focus on reproducibility rather than subjective impact, and it can be challenging for our reviewers to judge this, especially now that more and more tools are being created – bringing data science to the masses.  This also means more efficiency and ease is required especially when multiple collaborators and contributors on a specific project are involved.