Croatia

The 5th Meeting of the Human Glycome Project

Antigen-specific Fab profiling of autoantibody repertoires in RA

stages 

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

First established in 1965, the biennial COLING conference is held in diverse parts of the globe and attracts participants from both top-ranked research centers and emerging countries. Today, the most important developments in our field are taking place not only in universities and academic research institutes, but also in industrial research departments and in technological startups. COLING conferences provide opportunities for all these communities to showcase their exciting developments.

COLING 2020

COLING, the International Conference on Computational Linguistics, is one of the premier conferences for natural language processing and computational linguistics. Often grouped within the field of artificial intelligence, but actually pre-dating the development of artificial intelligence, advances in computational linguistics and natural language processing are now some of the major drivers behind the use of artificial intelligence for commercial and social applications – for example, on-line search, machine translation and with voice-assisted conversational devices.

technical paper

Join us as we continue our quest to better understand glycans: their genetic regulation & evolution, their role in health, disease, therapy, and more!

Exploration of AI model’s capabilities for producing insights from glycan biomarkers

How can we change the IgG glycome composition

Glycans in Schistosoma haematobium

Establishment of a new detection method for polysialic acid in biological samples

Mining the information contained in the IgG glycome

GlyCoDA: Compositional data analysis for disease risk prediction using glycans

Dynamic Strategies for Development of Host-Responsive Medical Devices

Cell Surface N-Glycoproteomics to Map the Colorectal Cancer Glycome

Glycobiology of cancer

High throughput human glycan analysis at the single cell level

https://d3smihljt9218e.cloudfront.net/transcript/89074/subtitle/2134efc6b431e7d1b3e87d1ca84c43cc.vtt

English (automatic)

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Next from The 5th Meeting of the Human Glycome Project

Exploration of AI model’s capabilities for producing insights from glycan biomarkers

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