Opendata, web and dolomites

ALGOA

Novel algorithm for treatment planning of patients with osteoarthritis

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

0

 ALGOA project word cloud

Explore the words cloud of the ALGOA project. It provides you a very rough idea of what is the project "ALGOA" about.

healthy    25    quality    poc    care    therapy    live    clinically    tool    actions    diagnostics    finland       europeans    stringent    gdp    algorithm    perform    software    patients    population    alarming    device    employed    social    140m    domestic    carry    pain    estimate    osteoarthritis    isolation    185m    annual    oa    marks    disease       careers    decrease    proof    overweight    preventive    health    breakthrough    relief    predict    performance    environment    companies    market    provides    examinations    obesity    absence    commercialisation    prone    economic    gross    innovation    geriatric    longer    lesser    drug    medical    amongst    shorten    considerable    aiding    discovery    disability    150    hospitals    direct    annually    eliminating    western    countries    symptoms    productivity    burdened    joint    hospital    subsequently    started    treatments    personalised    time    50    life    ultimate    million    clinical    progression    subjects    admissions    healthcare    indirect   

Project "ALGOA" data sheet

The following table provides information about the project.

Coordinator
ITA-SUOMEN YLIOPISTO 

Organization address
address: YLIOPISTONRANTA 1 E
city: KUOPIO
postcode: 70211
website: www.uef.fi

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Finland [FI]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2016-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-01-01   to  2019-06-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ITA-SUOMEN YLIOPISTO FI (KUOPIO) coordinator 150˙000.00

Map

 Project objective

Osteoarthritis (OA) is a common joint disease affecting over 40 million Europeans. Most common consequences of OA are pain, disability and social isolation. What is alarming, the number of patients will increase 50% in developed countries during the next 20 years. Moreover, the economic costs of OA are considerable since 1) direct healthcare (hospital admissions, medical examinations, drug therapy, etc.) and 2) productivity costs due to reduced performance while at work and absence from work have been estimated to be between 1% and 2.5% of the gross domestic product (GDP) in Western countries.

We have developed an algorithm that is able to predict the progression of OA for overweight subjects while healthy subjects do not develop OA. When employed in clinical use, preventive and personalised treatments can be started before clinically significant symptoms are observed. This marks a major breakthrough in improving the life quality of OA patients and patients prone to OA. Our discovery will directly lead to longer working careers and lesser absence from work, and will result subsequently increased productivity. Moreover, the patients are expected to live longer due to reduced disability and social isolation.

Moreover, the discovery provides economic long-term relief for the health care system, which is burdened by increasing geriatric population and stringent economic environment. With our tool, as an example, by eliminating 25% of medical examinations annually due to overweight or obesity in Finland (150.000 patients), we estimate to decrease annual direct costs by 140M€ and indirect costs by 185M€.

In the PoC project we will carry out technical proof-of-concept and perform pre-commercialisation actions to shorten the time to market. The ultimate goal after the project is to develop our innovation towards a software product, aiding the OA diagnostics in hospitals and having commercialisation potential amongst medical device companies.

 Publications

year authors and title journal last update
List of publications.
2019 Katariina A.H. Myller, Rami K. Korhonen, Juha Töyräs, Petri Tanska, Sami P. Väänänen, Jukka S. Jurvelin, Simo Saarakkala, Mika E. Mononen
Clinical Contrast-Enhanced Computed Tomography with Semiautomatic Segmentation Provides Feasible Input for Computational Models of the Knee Joint
published pages: , ISSN: 0148-0731, DOI:
Journal of Biomechanical Engineering 2019-11-18
2019 Soili Törmälehto, Emma Aarnio, Mika E. Mononen, Jari P. A. Arokoski, Rami K. Korhonen, Janne A. Martikainen
Eight-year trajectories of changes in health-related quality of life in knee osteoarthritis: Data from the Osteoarthritis Initiative (OAI)
published pages: e0219902, ISSN: 1932-6203, DOI: 10.1371/journal.pone.0219902
PLOS ONE 14/7 2019-11-18
2019 Paul O. Bolcos, Mika E. Mononen, Matthew S. Tanaka, Mingrui Yang, Juha-Sampo Suomalainen, Mikko J. Nissi, Juha Töyräs, Benjamin Ma, Xiaojuan Li, Rami K. Korhonen
Identification of locations susceptible to osteoarthritis in patients with anterior cruciate ligament reconstruction: Combining knee joint computational modelling with follow-up T1ρ and T2 imaging
published pages: , ISSN: 0268-0033, DOI: 10.1016/j.clinbiomech.2019.08.004
Clinical Biomechanics 2019-11-18
2018 Gustavo A. Orozco, Petri Tanska, Cristina Florea, Alan J. Grodzinsky, Rami K. Korhonen
A novel mechanobiological model can predict how physiologically relevant dynamic loading causes proteoglycan loss in mechanically injured articular cartilage
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-33759-3
Scientific Reports 8/1 2019-11-18
2019 Mika E. Mononen, Mimmi K. Liukkonen, Rami K. Korhonen
Utilizing Atlas-Based Modeling to Predict Knee Joint Cartilage Degeneration: Data from the Osteoarthritis Initiative
published pages: 813-825, ISSN: 0090-6964, DOI: 10.1007/s10439-018-02184-y
Annals of Biomedical Engineering 47/3 2019-11-18
2018 Paul O. Bolcos, Mika E. Mononen, Ali Mohammadi, Mohammadhossein Ebrahimi, Matthew S. Tanaka, Michael A. Samaan, Richard B. Souza, Xiaojuan Li, Juha-Sampo Suomalainen, Jukka S. Jurvelin, Juha Töyräs, Rami K. Korhonen
Comparison between kinetic and kinetic-kinematic driven knee joint finite element models
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-35628-5
Scientific Reports 8/1 2019-11-18
2018 Gustavo A. Orozco, Petri Tanska, Mika E. Mononen, Kimmo S. Halonen, Rami K. Korhonen
The effect of constitutive representations and structural constituents of ligaments on knee joint mechanics
published pages: , ISSN: 2045-2322, DOI: 10.1038/s41598-018-20739-w
Scientific Reports 8/1 2019-11-18
2018 Soili Törmälehto, Mika E. Mononen, Emma Aarnio, Jari P. A. Arokoski, Rami K. Korhonen, Janne Martikainen
Health-related quality of life in relation to symptomatic and radiographic definitions of knee osteoarthritis: data from Osteoarthritis Initiative (OAI) 4-year follow-up study
published pages: , ISSN: 1477-7525, DOI: 10.1186/s12955-018-0979-7
Health and Quality of Life Outcomes 16/1 2019-11-18

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "ALGOA" project.

For instance: the website url (it has not provided by EU-opendata yet), the logo, a more detailed description of the project (in plain text as a rtf file or a word file), some pictures (as picture files, not embedded into any word file), twitter account, linkedin page, etc.

Send me an  email (fabio@fabiodisconzi.com) and I put them in your project's page as son as possible.

Thanks. And then put a link of this page into your project's website.

The information about "ALGOA" are provided by the European Opendata Portal: CORDIS opendata.

More projects from the same programme (H2020-EU.1.1.)

DISINTEGRATION (2019)

The Mass Politics of Disintegration

Read More  

PROGRESS (2019)

The Enemy of the Good: Towards a Theory of Moral Progress

Read More  

Photopharm (2020)

Photopharmacology: From Academia toward the Clinic.

Read More