Scott Edmunds - April 9, 2025
Published today in GigaScience is a new algorithm connecting social and biological networks to identify key proteins in Human Health. Researchers at Ben-Gurion University of the Negev have developed a machine-learning algorithm that could enhance our understanding of human biology and disease. The new method, Weighted Graph Anomalous Node Detection (WGAND), takes inspiration from social […]
Scott Edmunds - April 5, 2025
Regular readers will have heard the news that TDR, the Special Programme for Research and Training in Tropical Diseases, GBIF and GigaScience Press have announced a third call for authors to submit Data Release papers on vectors of human disease for inclusion in a thematic series published in GigaByte Journal. Thanks to additional support from […]
Scott Edmunds - April 2, 2025
GigaScience Press is pleased to announce an upcoming Cassyni webinar on algorithm based detection of diseases using AI-based approaches taken from social media to protein networks. Hosted by GigaScience Editor in Chief Scott Edmunds and featuring a chance to ask questions, this free online webinar using the Cassyni platform will be on April 8th at […]
Scott Edmunds - January 8, 2025
Innovation + Integration = Cassyni X Sciety As an Open Science publisher, we’ve written extensively on our aims to think and act wider to better address the UNESCO Open Science Recommendation. Particularly the key pillars of “Open Engagement of Societal Actors” and “Open Dialogue with other Knowledge systems” where we need to improve the inclusiveness […]
Scott Edmunds - October 20, 2024
Reaching new highs in Cannabis sativa Omics There is a growing interest in Cannabis (Cannabis sativa) research, and recent changes in regulations have spurred numerous genomic studies of this once-prohibited plant. Industrial hemp and medical marijuana are now global multibillion-dollar industries, but due to its widespread prohibition in the 20th and early 21st century it […]
Scott Edmunds - September 18, 2024
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 […]