HUS Helsinki University Hospital is Leading the Research Project on Long-Term Effects of COVID-19

Long COVID Project The EU has awarded a 6.55 million EUR funding to a HUS Helsinki University Hospital-led consortium to examine the mechanisms behind the long-term effects of a COVID-19 infection. The objective is also to create a Decision support system for prediction and management of Long Covid Syndrome (LCS).

The number of patients suffering from long-term effects of a COVID-19 infection are growing worldwide. It is therefore important to identify and understand the mechanisms behind the continuing symptoms and to use this improved understanding to provide adequate treatment to patients. This is what the HUS-led Long Covid-project aims to do. The research evidence created during the project will be simultaneously used to develop and improve care of Long Covid patients.

The Long COVID project, with its budget consisting of 6.55 million EUR granted by the European Commission and 1.66 million EUR granted by the Swiss State Secretariat for Education, Research and Innovation (SERI), is first of its kind aiming to clarify the factors and mechanisms for the development of LCS.

"With the funding from the EU, the Long COVID research consortium will have good opportunities to conduct more research on the mechanisms and biomarkers of long-term effects of COVID-19 infection and the rehabilitation methods. The findings of the four-year research consortium can be used in the treatment of patients both at HUS and internationally," says Chief Physician Mari Kanerva.

The patient benefits directly from research on the causes and of improved treatment methods of the disease

The mechanism of the long-term effects is studied at HUS's Outpatient Clinic for Long-term Effects of COVID-19. Researches will be conducted with the help of cohort and register studies, mechanistic studies as well as with intervention and monitoring studies of patients with long COVID. In the research work, advantage is taken of omics technology, which is used to identify the factors and biomarkers that predispose people to the development of long-term effects of COVID-19 infection.

"It is inspiring to have the opportunity to simultaneously examine both the causes and the treatment methods of the long-term effects in this project. Our understanding of this disease is developing fast, which directly benefits the patients," explains Chief Physician Helena Liira from the Outpatient Clinic for Long-Term Effects of COVID-19. It is possible that the study will also create innovations for managing the long-term effects of possible future pandemics.

Apart from HUS, the Consortium consists of many leading EU research organizations, such as the University of Helsinki, the Institute for Molecular Medicine Finland (FIMM) and research groups from Switzerland, the Netherlands, Germany, Estonia, and Italy. A German company, NEC, specialized in artificial intelligence and machine learning is involved in the study and its methods are used in the interpretation of the diverse material. Other companies involved include Lipotype, Nuromedia and Steinbeis from Germany, Protobios from Estonia, and Chino from Italy.

"I am pleased that the systematic investments HUS has made in the preconditions for international research collaboration are now visible also as successful EU applications like this one and very excited to start the work with this excellent Consortium," says HUS EU Affairs lead Suzan Ikävalko. She was also involved in the proposal preparation and so was Innovation consultancy Spinverse who facilitated the preparation of the project, which is officially launched in June 2022.

For further information, please visit:
https://longcovidproject.eu

The Long Covid Consortium: Coordinator HUS Helsinki University Hospital (Finland), University of Helsinki (Finland), University Medical Centre Groningen (Netherlands), University Hospital Basel (Switzerland), Protobios Ou (Estonia), Lipotype GmbH (Germany), University of Zurich (Switzerland), Nuromedia GmbH (Germany), NEC Laboratories Europe GmbH (Germany), Chino SRLS (Italy), Steinbeis 2i GmbH (Germany), Spinverse Oy (Finland).

Most Popular Now

Open Medical Works with Moray's Dig…

Open Medical is working with the Digital Health & Care Innovation Centre’s Rural Centre of Excellence on a referral management plan, as part of a research and development scheme to...

Generative AI on Track to Shape the Futu…

Using advanced artificial intelligence (AI), researchers have developed a novel method to make drug development faster and more efficient. In a new paper, Xia Ning, lead author of the study and...

AI could Help Improve Early Detection of…

A new study led by investigators at the UCLA Health Jonsson Comprehensive Cancer Center suggests that artificial intelligence (AI) could help detect interval breast cancers - those that develop between...

Reorganisation, Consolidation, and Cuts:…

NHS England has been downsized and abolished. Integrated care boards have been told to change function, consolidate, and deliver savings. Trusts are planning big cuts. The Highland Marketing advisory board...

AI-Human Task-Sharing could Cut Mammogra…

The most effective way to harness the power of artificial intelligence (AI) when screening for breast cancer may be through collaboration with human radiologists - not by wholesale replacing them...

Siemens Healthineers infection Control S…

Klinikum Region Hannover (KRH) has commissioned Siemens Healthineers to install infection control system (ICS) at the Klinikum Siloah hospital. The ICS aims to effectively tackle nosocomial infections and increase patient...

AI Tool Uses Face Photos to Estimate Bio…

Eyes may be the window to the soul, but a person's biological age could be reflected in their facial characteristics. Investigators from Mass General Brigham developed a deep learning algorithm...

Philips Future Health Index 2025 Report …

Royal Philips (NYSE: PHG, AEX: PHIA), a global leader in health technology, today unveiled its 2025 Future Health Index U.S. report, "Building trust in healthcare AI," spotlighting the state of...

AI-Powered Precision: Unlocking the Futu…

A team of researchers from the Department of Diagnostic and Therapeutic Ultrasonography at the Tianjin Medical University Cancer Institute & Hospital, have published a review in Cancer Biology & Medicine...

AI Model Improves Delirium Prediction, L…

An artificial intelligence (AI) model improved outcomes in hospitalized patients by quadrupling the rate of detection and treatment of delirium. The model identifies patients at high risk for delirium and...

Building Trust in Artificial Intelligenc…

A new review, published in the peer-reviewed journal AI in Precision Oncology, explores the multifaceted reasons behind the skepticism surrounding artificial intelligence (AI) technologies in healthcare and advocates for approaches...

SALSA: A New AI Tool for the Automated a…

Investigators of the Vall d'Hebron Institute of Oncology's (VHIO) Radiomics Group, led by Raquel Perez-Lopez, have developed SALSA (System for Automatic Liver tumor Segmentation And detection), a fully automated deep...