Denmark

AIM Seminar Series 2021

Protein interaction based analysis of GWAS linked genes for 1000 human traits

Join leading experts in glycobiology as we explore the latest insights into glycans — their genetic regulation and evolution, and their roles in health, disease, and therapeutic innovation.

The 6th Meeting of the Human Glycome Project

webinar

### 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 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.

Understanding the spatiotemporal subcellular organization of the human proteome

GWAS gene prioritization from local and polygenic signals

Reproducible machine learning in health data science

Machine learning for exploring biological systems

New single-cell technologies to dissect reprogramming and development

https://d3smihljt9218e.cloudfront.net/transcript/14055/subtitle/d93725da8aa39e055d583deeed65d488.vtt

English (automatic)

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Understanding the spatiotemporal subcellular organization of the human proteome

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Genetic control of protein N-glycosylation in humans: insights from GWAS

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Next from AIM Seminar Series 2021

Understanding the spatiotemporal subcellular organization of the human proteome

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Genetic control of protein N-glycosylation in humans: insights from GWAS

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