Tag Archives: AI
From Social to Biological Networks: A New Algorithm Uncovering Key Proteins in Human Disease
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 […]
From Social-Media to Protein Networks: join our Cassyni webinar on algorithm based detection of diseases
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 […]
Machine Learning Standards in the Wild. DOME Webinar on ML Recommendations and Applications
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 […]
ISMB2024 – Demystifying the World of AI (and Publishing)
Scott Edmunds - July 21, 2024
Opening a Cabinet of Curiosities in Montreal Readers of this blog must know every summer the GigaScience Press team gathers at the ISMB (International Conference on Intelligent Systems for Molecular Biology) conference, where the great and good of computational biology gather for the largest bioinformatics conference of the year. Being the meeting where GigaScience launched in […]
An artificial sugar beet for the eyes of Artificial Intelligence
Hans Zauner - June 21, 2024
Plant phenotyping – the science of gathering precise information and measurements on plants – has seen massive improvements recently, and the combination of sensor technology and AI methods will continue to change the way crops are assessed and improved. A new article in GigaScience demonstrates where this is going: Jonas Bömer and colleagues at the […]
The Utility and Danger of AI in Scientific Publishing: Riddles of the Sphinx – GigaScience at WCRI 2024
Chris Armit - June 9, 2024
The 8th World Congress on Research Integrity (WCRI) took place in Athens, Greece from 1st-5th June. GigaScience Press are regular attendees of this conference, and this year our organisation was represented by GigaScience Editor-in-Chief Scott Edmunds, Executive Editor Nicole Nogoy, and Data Scientist Chris Armit. A major theme of the conference was the double-edged sword […]
AIBC – India. Biocuration, long days, even longer traffic jams.
Chris Hunter - March 26, 2024
The Annual International Biocuration Conference (AIBC) was held for the first in India, at the Indian Biological Data Centre (IBDC), Regional Centre for Biotechnology (RCB), Faridabad and co-hosted by the Department of Plant Molecular Biology, University of Delhi South Campus. As usual, GigaDB had representation at the event (see write-ups of many previous meetings here), […]
Going Large (Language Models) at ISMB2023
Scott Edmunds - August 3, 2023
GigaScience Press team attended the yearly ISMB (Intelligent Systems for Molecular Biology) meeting and learned about Large Language Models.
Open imaging data to assist AI in the COVID-19 fight. Q&A with Dominic Cushnan
Scott Edmunds - November 25, 2021
We have an author Q&A with Dominic Cushnan, Head of Artificial Intelligence (Imaging) for NHSX, on his Data Note on the National COVID-19 Chest Imaging Database.
AI for mental health assessment: Author Q&A
Hans Zauner - October 14, 2021
A new article published today in GigaScience demonstrates that machine learning can yield “proxy measures” for brain-related health issues, without the need for a specialist’s assessment.