
Lithuania (LT)
Regional Innovation Performance(2019) Moderate
Total population (2019) 2794184
Population per km² (2017) 45
Proportion population older 65 year % 19,77%
Background
Lithuania is a country In the Baltic region of Europe with a population of 3 million. The country's S3 priorities Include a focus on molecular technologies for medicine and biopharmaceutics; advanced applied technologies for individual and public health and advanced medical engineering for early diagnostics and treatment. The country is involved In a number of major initiatives including The National Cancer Institute, Kaunas Clinics and Santaros Clinics.
Healthprofile according to the European Observatory on Health Systems and Policies and the Organisation for Economic Co-operation and Development (OECD):
Life expectancy has increased in recent years in Lithuania but remains among the lowest in the EU. Mortality rates from both preventable and treatable causes are well above the EU averages. The country also faces challenges with mental health and the control of tuberculosis. Although some progress has been made in recent years, alcohol consumption emains a major public health concern. Reducing out-of-pocket payments, overhauling the hospital sector, further strengthening primary care and scaling up prevention measures would contribute to improving the health of the population, but the current level of spending in health care remains too low to address all the ongoing challenges effectively.
http://www.euro.who.int/__data/assets/pdf_file/0003/419466/Country-Health-Profile-2019-Lithuania.pdf
https://www.hspm.org/countries/lithuania14112013/countrypage.aspx
Is the region looking for international/European/interregional collaboration opportunities?
Yes - Horizon2020/Horizon Europe projects and similar international initiatives
Membership status
Member ICPerMed? yes
Mountain ? Non-mountain
Member Euregha? no
Adriatic-Ionian MacroRegion? no
InnoStars Region? no
Northern Sparsely Populated Area (NSPA)? no
PM region according EC? no
Baltic Sea MacroRegion? yes
S3MedTech region? no
Danube MacroRegion? no
S3P4PM region? no
Alpine MacroRegion? no
Regions4PM region? yes
S3ClusSport member? no
Central Europe? no
MedTech4Europe? no
Council of European BioRegions (CEBR)? no
1M+Genome initiative? member
European Regions Research & Innovation Network(ERRIN)? no
Vanguard Initiative? no
ERAPerMed? no
Policy documents
National: Smart Specialization strategy
National: National Reform Program Lithuania 2019
National: THE LITHUANIAN INNOVATION DEVELOPMENT PROGRAMME 2014–2020
Topics covered by policies : Medical research and innovation (-omics, biomarkers, diagnostics, etc.); Specific disease related research; ICT/genomics, health, lifestyle data (infrastructure)
Funding:
Healthy ageing http://www.lmt.lt/en/competitive-research-funding/national-research-programmes/healthy-ageing/795
EuroNanoMed III - ERA-Net Cofund Action on Nanomedicine http://www.euronanomed.net/
NACE Personalised Medicine/Personalised Health related to Research and Innovation objectives: M.72 - Scientific research and development
Scientific domain NABS Personalised Medicine/Personalised Health related to Research and Innovation: NABS07 - Health; NABS121 - R&D related to Natural Sciences - financed from GUF; NABS131 - R&D related to Natural Sciences - financed from other sources than GUF; NABS133 - R&D related to Medical Sciences - financed from other sources than GUF
Policy objective Personalised Medicine/Personalised Health related related to Research and Innovation objectives: D.27 - e-Health (e.g. healthy ageing); E.42 - Photonics; G.46 - Ageing societies; G.49 - Public health & well-being
Policy document (RIS3): Yes
Policy document PM@RIS3: Yes - Health technologies and biotechnologies
Major initiatives
Digital Innovation Hubs:
Self evaluation
General perception of the implementation level of PM in the region - Low
Rate of the need for developing and implementing PM in the region - Medium
Rate of the need for increasing support/funding for PM activities in the region -High
Rate of the need for increasing the capacity of PM skills in the region - High
Rate of the genomics literacy of the citizens in the region - Low
Rate of the need for increasing interregional collaboration in PM -Very High
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