From Social-Media to Protein Networks: join our Cassyni webinar on algorithm based detection of diseases
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 3pm UTC (4pm CET/11am ET).
GigaScience author Dr. Michael Fire (The Fire AI Lab) and Prof. Esti Yeger-Lotem (National Institute for Biotechnology in the Negev) from Ben-Gurion University of the Negev have applied AI approaches to Social Media and bibliometric network analysis for many different applications. From fake identities in online social networks, to work published in GigaScience looking at publishing trends to predict outbreaks of coronaviruses and other emerging viral infections. As well as studying the over-optimization of academic publishing metrics (a particularly popular paper being covered in many places including Times Higher Education). These approaches at looking for anomalies and differences in social networks are now being applied in upcoming (preprinted) work presenting new algorithmic approaches to detect anomalous proteins in human tissues and disease. Dr’s Fire and Yeger-Lotem will both present on their success using these network-approaches, and please come along and bring or post questions in advance for the Q&A at the end.
This is our second webinar on the Cassyni platform, and you sign up here to participate:
https://cassyni.com/events/RfbzkzjvuLjxHYQb4AJdh7?yh30gdb
If you can’t make it on 8th April, from our series page you’ll be able to watch the archival version afterwards (see our previous webinar on bioinformatics resources from The International Cannabis Genome Research Consortium). And watch this space for another GigaScience Press Seminar Series webinar to be called shortly.
References:
Fire M, Guestrin C. Over-optimization of academic publishing metrics: observing Goodhart’s Law in action. Gigascience. 2019 Jun 1;8(6):giz053. doi: 10.1093/gigascience/giz053.
Kagan D, Moran-Gilad J, Fire M. Scientometric trends for coronaviruses and other emerging viral infections. Gigascience. 2020 Aug 1;9(8):giaa085. doi: 10.1093/gigascience/giaa085.
Kagan D, Jubran J, Yeger-Lotem E, and Fire M. Network-based anomaly detection algorithm reveals proteins with major roles in human tissues. bioRxiv. 2023. https://doi.org/10.1101/2023.12.19.572354
