Croatia

The 5th Meeting of the Human Glycome Project

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

### Artificial Intelligence in Metabolism (AIM)

AIM is a seminar series that will explore the potential of data science in metabolic research. It is hosted by the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) at the University of Copenhagen.
The seminar series takes place over three days in June and July, 2021 from 4pm to 5:30 pm CEST.

![](https://assets.underline.io/uploads/markdown_image/1/image/bc89e60b0a0f2d7550c75517a10f2843.png)
**About AIM**

Artificial Intelligence in Metabolism brings together renowned investigators to discuss how cutting edge data science can be best utilized to challenge current dogmas and catalyse better translation in metabolic and biomedical research.

Significant new discoveries in metabolic research increasingly rely on large-scale profiling, data integration and machine learning-based techniques. Not only can these techniques be leveraged to distil novel actionable biological hypotheses to be tested in relevant physiological contexts/clinical settings, they for example enable us to develop predictive tools to more effectively and timely identify at-risk individuals or personalized drugs/interventions. 

At the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) we have set up enabling biology platforms that utilize sophisticated metabolomics, single-cell and data integration techniques to enrich our deeply phenotyped and genotyped patient cohorts. These data, along with the associated Danish longitudinal health register information, constitute a unique base to empower current and next generations of scientists to tackle the major questions in metabolic research.

We envision that data and machine learning models will be at the heart of future teams driving novel discoveries in metabolic research, through interdisciplinary approaches involving traditional biomedical scientists alongside data scientists, mathematicians and bioinformaticians.
Please join us in our effort to discuss and incubate new ideas to better explore and model metabolic disease.

![](https://assets.underline.io/uploads/markdown_image/1/image/bc89e60b0a0f2d7550c75517a10f2843.png)



AIM Seminar Series 2021

AIM is a seminar series that will explore the potential of data science in metabolic research. It is hosted by the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) at the University of Copenhagen. The seminar series takes place over three days in June and July, 2021 from 4pm to 5:30 pm CEST.

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!

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

Sweetening your antibodies: lessons from natural immune responses

Accelerated glycome ageing in Down syndrome

Comparative human tissue N-glycomes in 16 organs and immune cell subtypes

Genome wide association studies of individual plasma proteins

https://d3smihljt9218e.cloudfront.net/transcript/89091/subtitle/23e99e325c2ece32a2fb9b7ec858745f.vtt

English (automatic)

Downloads

Next from The 5th Meeting of the Human Glycome Project

Mining the information contained in the IgG glycome

Similar lecture

Machine learning for exploring biological systems

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

.css-70qvj9{display:-webkit-box;display:-webkit-flex;display:-ms-flexbox;display:flex;-webkit-align-items:center;-webkit-box-align:center;-ms-flex-align:center;align-items:center;}Downloads

Next from The 5th Meeting of the Human Glycome Project

Mining the information contained in the IgG glycome

Similar lecture

Machine learning for exploring biological systems

Stay up to date with the latest Underline news!

PRESENTATIONS

CONFERENCES

COMPANY

RESOURCES

Downloads