Denmark

The digital health revolution is here. Innovations include not only the collection and analysis of electronic health records and personal genomes, but also diverse physiological and molecular measurements in individuals at a level that has not previously been possible. Our recent studies in which we deep-profiled 109 people for a median of nearly 3 years and made 49 major health discoveries (67 if hypertension is included) affecting 53 people, shows the value of big data and active monitoring. Many health discoveries involved disease risk prediction from genome sequencing, but most involved early detection of disease before symptom onset. Many of these findings were highly impactful, such as early detection of cardiomyopathy, lymphoma, and two precancerous conditions (monoclonal gammopathy of undetermined significance and smoldering myeloma). However, the health data revolution is just beginning as more direct-to-consumer devices that measure health information become available (eg, electrocardiogram monitors for smart watches and blood pressure cuffs), omics measurements become more sensitive and facile, and new imaging technologies emerge.
How effectively society as a whole is able to capitalise on big data in health care will depend, in part, on how well these data are integrated and communicated to clinicians and the public. It will be important to have digital health information collected in a format that clinicians and consumers can easily interpret and query. Much has been written about the shortcomings of electronic health record systems. Improvements in such systems for clinicians&#39; purposes and a new commitment to sharing personal digital health information with consumers are needed.
Currently, much of health information is organised around systems—eg, cardiovascular, gastrointestinal, and neurological. However, we expect that health information can also be organised according to underlying human molecular biology, and this might lead to novel health management approaches. For example, much as molecular information is grouped into networks based on interaction (physical or other) and co-expression data, digital health data might be grouped into entirely new interactive entities that might enable more efficient diagnoses and help to optimise disease management strategies (figure). The organisation of health information into interactive clusters and other novel methods for stratifying health data will complement existing approaches and potentially lead to improvements in health care. Tumour agnostic therapies in oncology represent early evidence of how the health-care paradigm might shift as health data management matures. We expect that there will be an important role for artificial intelligence in health data organisation and interpretation, with the caveat that clinical applications will need to be subject to rigorous validation procedures.

Metabolism Month 2021

Big Data and Health

Public Health Conference (PHC) is one of a kind platform for global stakeholders from academic, professional and governmental realms to gather, network and discuss healthcare, public health and medical science.

7th Public Health Conference

The digital health revolution is here. Innovations include not only the collection and analysis of electronic health records and personal genomes, but also diverse physiological and molecular measurements in individuals at a level that has not previously been possible. Our recent studies in which we deep-profiled 109 people for a median of nearly 3 years and made 49 major health discoveries (67 if hypertension is included) affecting 53 people, shows the value of big data and active monitoring. Many health discoveries involved disease risk prediction from genome sequencing, but most involved early detection of disease before symptom onset. Many of these findings were highly impactful, such as early detection of cardiomyopathy, lymphoma, and two precancerous conditions (monoclonal gammopathy of undetermined significance and smoldering myeloma). However, the health data revolution is just beginning as more direct-to-consumer devices that measure health information become available (eg, electrocardiogram monitors for smart watches and blood pressure cuffs), omics measurements become more sensitive and facile, and new imaging technologies emerge.
How effectively society as a whole is able to capitalise on big data in health care will depend, in part, on how well these data are integrated and communicated to clinicians and the public. It will be important to have digital health information collected in a format that clinicians and consumers can easily interpret and query. Much has been written about the shortcomings of electronic health record systems. Improvements in such systems for clinicians' purposes and a new commitment to sharing personal digital health information with consumers are needed.
Currently, much of health information is organised around systems—eg, cardiovascular, gastrointestinal, and neurological. However, we expect that health information can also be organised according to underlying human molecular biology, and this might lead to novel health management approaches. For example, much as molecular information is grouped into networks based on interaction (physical or other) and co-expression data, digital health data might be grouped into entirely new interactive entities that might enable more efficient diagnoses and help to optimise disease management strategies (figure). The organisation of health information into interactive clusters and other novel methods for stratifying health data will complement existing approaches and potentially lead to improvements in health care. Tumour agnostic therapies in oncology represent early evidence of how the health-care paradigm might shift as health data management matures. We expect that there will be an important role for artificial intelligence in health data organisation and interpretation, with the caveat that clinical applications will need to be subject to rigorous validation procedures.

keynote

**Welcome to Metabolism Month**, which brings together researchers within the field of metabolism to discuss the latest science in metabolic diseases and energy control. It is hosted and organised by the Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) at the University of Copenhagen.

We have organised eight keynote talks from internationally recognised scientists, three poster sessions and a debate, which will be held on the first four Tuesdays in March. The format is the same for each week: Two speakers with a poster session or debate in between, from 16:00 to 18:00 CET.

You are currently viewing the event for Week 1 of Metabolism Month, which will be held on **March 2, 2021; 16:00-18:00 CET.** 

The theme for this week is **Integrative Metabolism and Environmental Influences.**

To view the events for other three days of the conference, use the buttons below. 
Information about all the speakers can be found at the bottom of the page.

[![](https://assets.underline.io/uploads/markdown_image/1/image/d5852d98d086991fa1a166f429393e0e.png)](https://underline.io/events/91/reception)

**Theme**: Human Genomics and Metagenomics in Metabolism //  **Date and time**: March 9, 2021; 16:00-18:00 CET

[![](https://assets.underline.io/uploads/markdown_image/1/image/07cca3cacd92e8ba9e49526f395a83f4.png)](https://underline.io/events/92/reception)

**Theme**: Nutrient and Metabolite Sensing //  **Date and time**: March 16, 2021; 16:00-18:00 CET

![](https://assets.underline.io/uploads/markdown_image/1/image/dd6fad1c3641ab103ac9acf3f6c4b317.png)

**Theme**: Metabolic Science in Culture and Big Data //  **Date and time**: March 23, 2021; 16:00-18:00 CET


[![](https://assets.underline.io/uploads/markdown_image/1/image/a0984380b4b88e9f6ce97ca9a70fc3c4.png)](https://gather.town/app/rVi8VjII2vWIXhbs/MetabolismMonth1)

**Poster Sessions**
The three poster sessions take place on March 2, 9, and 16, and offer young scientists the opportunity to present their work to a wider audience. You can already browse the posters one week prior to the presentation. To view the posters, and participate in the live session, press the Posters icon in the left navigation bar, fifth from the top.

If you have registered to present a poster, you can upload it by following this [link](https://dsabjnjw.paperform.co/).
Please put your name in the title and the date of your presentation.
Deadline for uploading posters is 10 days before your presentation



# **PROGRAM AT A GLANCE**

![](https://assets.underline.io/uploads/markdown_image/1/image/c34024ffd1725db5ce6a1bc12d4a9328.jpg)


**Resources**

The Novo Nordisk Foundation Center for Basic Metabolic Research (CBMR) was established in 2010 at the Faculty of Health and Medical Sciences, University of Copenhagen. The establishment of the Center was made possible by a generous (DKK 885 million), unrestricted grant from the Novo Nordisk Foundation. In 2018 the Novo Nordisk Foundation awarded new strategic funding to the Center (DKK 700 million).
Find out more about CBMR, the Foundation and the Center’s activities using the following links:
* [CBMR](https://cbmr.ku.dk)
* [Novo Nordisk Foundation](https://novonordiskfonden.dk/en)
* [The Copenhagen Bioscience PhD Programme](https://cphbiosciencephd.org)
* [The CBMR International Postdoctoral Programme](https://cbmr.ku.dk/postdocprogram)


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