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Ettersom flere mennesker lever lenger, trenger vi flere helsetjenester, spesielt for akutte helseproblemer. Dette legger mye press på helsesystemet vårt, som inkluderer hjemmeomsorg, sykehjem, lokale klinikker og sykehus. For å sikre at vi kan ta vare på alle i fremtiden, må vi finne måter å hjelpe eldre mennesker med å holde seg sunne og unngå å trenge mye omsorg.
PAI-prosjektet jobber med dette problemet. Prosjektet bruker kunstig intelligens (KI) for å forutsi hvilken type omsorg eldre mennesker kan trenge ved å se på helsedata. Ved å oppdage helseproblemer tidlig, kan vi ta skritt for å forhindre at de blir verre. Dette kan bety at vi forhindrer fall i sykehjem eller endrer en persons medisinering på deres lokale klinikk. Dette bidrar til å unngå sykehusopphold, som kan være dyre og stressende.
Imidlertid er det vanskelig å forutsi helsebehov fordi dataene vi har kan variere mye. Det kan være forskjellig avhengig av hvor personen bor, og hvilke helseproblemer de har. For å håndtere dette, jobber PAI-prosjektet med mennesker som mottar omsorg og helsearbeidere for å utvikle KI-verktøy. Prosjektet tester disse verktøyene i virkelige situasjoner i Spania, Sverige og Norge.
Prosjektet bruker en blanding av metoder for å samle inn og analysere data. Dette inkluderer både tall (kvantitative data) og folks erfaringer og meninger (kvalitative data). Målet er å hjelpe eldre mennesker ved å gi dem riktig omsorg til rett tid, forhindre at skader og sykdommer blir verre. Det hjelper også helsearbeidere ved å sørge for at ressursene brukes effektivt og skaper et godt arbeidsmiljø. Løsningene de finner kan brukes på mange forskjellige steder.

As the population ages, the demand for healthcare services increases, including acute care. This puts a strain on healthcare resources, making efficient care management crucial at all levels - home, nursing homes, primary care, and hospitals.
The PAI project aims to address this challenge by using artificial intelligence (AI) to predict the care needs of older individuals. By analyzing patient monitoring data, the project can detect early signs of health or functional decline. This allows for preventive measures to be taken, reducing the need for costly acute care and aftercare. For example, hospitalizations can be prevented by avoiding falls in nursing homes or adjusting medication in primary care.
However, predicting the care needs of older patients is not straightforward. It involves dealing with varying data availability, quality, and potential interventions across different care levels and diagnoses. To tackle this, the PAI project uses a design science approach and a multiple case study design. It develops analytics in collaboration with care recipients and healthcare practitioners and implements them in real-life settings in Spain, Sweden, and Norway.
The project uses a mixed-methods strategy for data collection and analysis, combining quantitative and qualitative elements. This includes the thematic interpretative analysis of meeting notes, interviews, and observations, as well as the statistical longitudinal trend analysis of Key Performance Indicators in the respective healthcare systems.
The benefits of the PAI project are twofold. Older individuals receive adequate early care, preventing injuries and the worsening of diseases. Healthcare staff can use their resources more effectively, creating a sustainable and satisfying work environment. The outcomes of the project are scalable and can be applied in various contexts, making it a valuable contribution to the future of European healthcare.

Predicting Care Needs of Older Adults in the Healthcare System through AI-enabled Analysis of Patient-Monitoring Data

Dette prosjektet er et nasjonalt samarbeid mellom fire kunnskapssentre for barn og unges psykiske helse og
barnevern (RKBU Midt-Norge, Vest, Nord og RBUP Øst Sør), fire universiteter (NTNU, UIB, UIS og UIT), to kommuner
(Stjørdal og Bjørnafjord kommune) og en brukerorganisasjon (ADHD Norge). Intervensjoner mot
skolefraværsproblemer hos unge er tilgjengelige internasjonalt, men bør videreutvikles for å gi større effekt og
brukervennlighet, samt tilpasses norske forhold (Maynard et al., 2018). En dansk intervensjon (Back2School; B2S) er
nylig utviklet og evaluert (Johnsen et al., 2024). Basert på erfaringer fra en nasjonal norsk pilotstudie med B2S, de
danske resultatene og kvalitative erfaringer vil dette prosjektet identifisere barrierer ved den utprøvde
intervensjonen, jobbe for å forbedre innhold knyttet til de identifiserte barrierene samt utarbeide og sikre
implementering gjennom en detaljert plan for intervensjonen, dens oppstart og drift, tilpasset norske kommuner og
tjenester. I dette arbeidet samskapningsprosesser stå sentralt.

Optimalisering av Back2School tiltaket for bruk i Norge

mSpider: a universal “digital adaptor” to extract physical activity and health data from wearable sensors

Developing Gene Therapy for Brain Diseases

Exploring ebselen Derivatives for Parkinson's Disease Therapy

Limb wounds in horses are common, however healing is exceedingly slow and fraught with complications. Contrary to body wounds, limb wounds demonstrate only a small amount of wound contraction. The specialist procedure of applying split-thickness skin grafts to limb wounds stimulates wound contraction by unknown mechanisms. The objective of this project is to identify those mechanisms to develop a treatment strategy for equine limb wounds for use in general  practice. Limb wounds are severely impacting animal welfare due to an extended healing/treatment duration, and the risk of euthanasia due to a poor functional outcome. By stimulating wound contraction, healing time will be reduced, and the functional outcome improved, directly benefitting the welfare of wounded horse and reducing treatment cost for the owner. Aim: To identify dermal components stimulating wound contraction, and to develop this knowledge into future state-of-the-art treatment of equine limb wounds for use in general practice. Hypotheses: i) Application of dermal fractions to collagen gels seeded with equine fibroblasts will increase gel contraction in vitro; ii) Application of dermal fractions to experimental limb wounds in vivo, will increase wound contraction resulting in a faster healing time versus wounds treated by conventional methods. Methods: i) The contractile effect of different dermal components will be assessed in a collagen gel/ fibroblast model; ii) Identified dermal components will be tested in a standardized experimental limb wound model in vivo (n=5). Ultimately, results from this project are expected to improve wound treatment in horses, directly impacting animal welfare by reducing healing time and improving the functional outcome of wounded horses. This will also directly benefit horse owners and caretakers and making veterinarians able to offer better treatment solutions.

HESTEFORSK - Raskere og bedre sårheling hos hest med autologe hudkomponenter

Commercialisation of a beast cancer detection model developed for BreastScreen Norway

Forecasting of bipolar episodes

Simulate flow in aortic stent grafts

Bilingual Experiences, Cognitive Ageing and underlying Mechanisms

The goal of the Bilingual Experiences, Cognitive Ageing and underlying Mechanisms (BECAME) project is to examine the functional neuroplastic mechanisms underlying mitigatory effects of bilingual experience on age-related cognitive decline. While evidence is available for structural brain changes supporting bilingualism-induced effects on cognitive aging (CA), functional mechanisms underlying such effects are not yet well understood. BECAME aims to fill this gap by investigating the trajectory of bilingualism-induced functional neuroplasticity across the adult lifespan (ages 18-85), crucially adopting an individual differences approach related to measurable degree of bilingual engagement. Importantly, although such benefits are thought to be rooted early in the lifespan, evidence for the timeframe and conditions of their early emergence is scarce. The choice of including the whole adult lifespan allows us to investigate these mechanisms and their emergence more directly from a lifespan perspective. I combine behavioral testing with brain recordings via electroencephalography (EEG). EEG is widely used in cognitive neuroscience to assess brain activity and the degree of communication between brain regions (functional connectivity) in response to stimuli and at rest. Combining behavioral and EEG modalities will allow me to test bilingualism’s effect on functional connectivity, as well as its consequences for functional efficiency, the minimum required neural activation to successfully perform a task. This will enable a detailed, evidence-based account of the protective effects observed in older-aged bilinguals, and how they are built from earlier life stages. By illuminating the relationship between multilingualism and resulting neurocognitive adaptations, BECAME will enable to capitalize on it as a health initiative, with manifold societal implications and the potential to be translated into actionable policies exploiting multilingualism to ameliorate effects of CA.

Kvantitative estimater av tidligere UV-B-bestråling fra fossilt pollen

Midlene fra KLIMAFORSK-Stort program klima fordelt på år

Midlene fra KLIMAFORSK-Stort program klima fordelt på fylker

Midlene fra KLIMAFORSK-Stort program klima fordelt på fagområde

Førsteamanuensis

Project Overview
In the 20th century, emissions of ozone-depleting compounds caused a global environmental crisis through their ability to cause ozone depletion in the atmosphere. Ozone plays a vital role for life on Earth through providing a screening mechanism for dangerous solar UV-B radiation, which is known to have negative effects on plants and animals (including skin cancer in humans). Global environmental policy has been successful in reversing the trend in the emission of ozone-depleting atmospheric chemicals worldwide, so that exposure to dangerous UV-B radiation is likely to be less of a threat to ecosystems and humans in the 21st century. 

However, large variations in ozone and surface UV-B radiation have also thought to have occurred in the geological past with potentially major implications for climate and ecosystems. For example, swings in the Earth’s geomagnetic field may have caused changes in ozone concentrations, and the increases in solar UV-B radiation at the Earth’s surface that resulted have even contributed to the extinction of the Neanderthals. But although UV-B radiation is an important variable for understand process influencing life on Earth, at present it remains challenging to reconstruct changes in UV-B radiation at the Earth’s surface beyond the instrumental measurements since the 20th century.

QUEST-UV will attempt to solve this challenge through the chemical analysis of fossil-pollen grains. Since the 2000s researchers have suggested that chemical sunscreens produced by plants, and which are also found in the walls of pollen grains and then buried in lakes and bogs over thousands of years, may be used to reconstruct UV-B radiation received at the Earth’s surface. QUEST-UV will use experiments to provide the experimental support for this proxy, and then use this understanding to provide the first quantitative reconstruction of UV-B radiation based on sediments representing up to the last 10,000 years.

Progress updates
Specific achievements of the project in so far:
-	Completion of preparation of fossil samples related to the Kassjön Lake Sediment record. These are now undergoing analysis using GC-MS.
-	Successful collection and analysis of vibrational spectroscopy data and GC-MS for greenhouse and fieldwork experiments, with four masters projects associated with this.
-       Successful establishment of a greenhouse experimental set up to evaluate UV-B responses in pollen using Pinus branches/ cultivars
-	Development of a method for ‘fossilisation’ of modern pollen grains from experiments with an associate masters project with this. We are currently writing up this paper.
-	Presentation of results at multiple international symposia by members of the research term in 2023/ 2024.

We are now currently analysing results from the field season in 2024 to test the hypothesis that pollen chemical variations can be linked to UV-B exposure in pine pollen grains. There have been some delays because the postdoctoral research fellow successfully obtained a job in 2024 and so left the project. A researcher position will employed in 2025 to complete the analytical and chemometric work in relation to this project.  We will conduct one more experimental season in 2025 using Pinus mugo cultivars.

Variations in UV-B at the Earth’s surface are likely to have had major consequences for ecological patterns and biosphere dynamics in the geological past. They are also an important indicator for understanding patterns of global and regional climate change. However, there is no systematic method to quantitatively reconstruct UV-B beyond the instrumental record. This is severely hindering our ability to infer the extent of UV-B changes and their associated climate dynamics in the past, and their impacts on biosphere dynamics and ecological change.

A promising new approach proposes to use the chemical compounds of fossil-pollen grains to reconstruct UV-B. However, it remains impossible to quantitatively estimate the magnitude of terrestrially received UV-B radiation based on current understanding. This is because palaeo-UV-B studies have mainly used correlative methods to infer the pollen-chemical response to UV-B radiation. A new approach is required which integrates understanding of the biochemical response at the plant level, in order to provide quantitative reconstructions which are underpinned by process-based understanding. 

QUEST-UV tackles this problem by developing the first quantitative reconstruction model for UV-B based on fossil pollen. New empirical understanding about the biological response at the plant scale will be combined with modelled changes in solar radiation to predict expected changes in pollen chemistry for two different periods in the Holocene. We will integrate expertise from across a range of chemical techniques to develop a set of new analytical workflows which will also improve understanding biochemical pathways underlying the response to UV-B radiation. This will, for the first time, allow researchers to develop process-based reconstructions of UV-B, resulting in large improvements in the accuracies of, and confidence in, UV-B reconstructions with far-reaching implications for geosciences and plant science communities.

Quantitative estimates of past UV-B irradiance from fossil pollen

Med Large Hadron Collider (LHC) på CERN har vi begynt en ny æra med forskning innen høyenergifysikk. I løpet de første årene har med operasjon har LHC hatt stor suksess, spesielt med oppdagelsen av Higgs bosonet. En serie med oppgraderinger har vært planlagt allerede ved oppstarten av LHC akseleratoren for å fullt ut utnytte potensialet for nye oppdagelser. I første stopp fra 2015 - 2018 ble energien økt 8 til 13 TeV, så videre til 13.6 TeV i 2019 - 2021, hvor også strålingsintensiteten økte. I neste planlagte stopp fra 2026 - 2028 vil energien nå 14 TeV, samtidig som strålingsintensiteten da økes drastisk. Allerede til run 3 har kollisjonsraten i eksperimentene økt 2-10 ganger (noe som også øker strålingsdosene). For å møte disse utfordringene må begge LHC eksperimentene med norske bidrag, ATLAS og ALICE, må oppgradere sine detektorer, trigger systemer og data systemer.

Vi ønsker å bidra til den planlagte oppgraderingen av LHC til High Luminosity LHC (HL-LHC) og dermed sikre norsk bidrag til ATLAS og ALICE eksperimentene. Dette prosjektet er med på å finansiere oppgraderingen av ATLAS og ALICE eksperimentene samt den tilsvarende e-infrastrukturen. Dette vil sikre norsk medlemskap i disse eksperimentene og vår posisjon ved flere av de internasjonalt anerkjente frontene av høyenergifysikk. Dette er også en unik mulighet for norske forskere til å høste fruktene av mange års arbeid med detektorutvikling, noe som kan resultere i nye detektor teknologier.

With the Large Hadron Collider (LHC) at CERN we entered a new era of research in High Energy physics. During its first years of operation the LHC has been proven very successful, culminating with the discovery of the Higgs boson. To fully take advantage of the potential of the LHC machine to make new discoveries, a series of upgrades is planned. According to the current schedule, the beam intensity is upgraded during two interruptions to regular LHC operation. The first was in 2019-2021, and the second is planned for 2026-2028. The High Luminosity LHC (HL-LHC) running is scheduled to start in 2029 and to last until 2042. Since the intensity upgrades lead to 2-10 times higher collision rates delivered to the experiments (as well as higher radiation doses), the LHC experiments with Norwegian participation, ATLAS and ALICE, need to enhance their detectors, trigger systems, and computing systems accordingly.

In this proposal we have addressed in a consistent way the infrastructure requirements for exploitation of the LHC luminosity upgrades. We apply for funding of the improvements to the ATLAS and ALICE experiments and the re-furbishing and expansion of the required e-infrastructure, thus securing Norwegian membership in these experiments and our position at several of the internationally recognized frontiers of high energy physics research.
It is also a unique opportunity for Norwegian researchers to harvest the outcome of many years of detector R&D, which may result in new detector technologies. When ready, the HL-LHC will give unprecedented statistics at collision energies never before probed, which promises important new physics insight and possibly new discoveries.

Enabling LHC Physics at Extreme Collision Rates II

Med Large Hadron Collider (LHC) på CERN har vi begynt en ny æra med forskning innen høyenergifysikk. I løpet de første årene har med operasjon har LHC hatt stor suksess, spesielt med oppdagelsen av Higgs bosonet. En serie med oppgraderinger er under planlegging for å utnytte fullt ut potensialet for nye oppdagelser ved LHC akseleratoren. Først vil energien bli øket fra 8 til 13 TeV og til slutt 14 TeV. Så vil maskinen bli oppgradert to ganger for å øke stråleintensiteten, først i 2019-2020 og så i 2024-2025. Allerede i løpet av den første oppgraderingen vil kollisjonsraten i eksperimentene øke 2-10 ganger (noe som også øker strålingsdosene) og begge LHC eksperimentene med norske bidrag, ATLAS og ALICE, må oppgradere sine detektorer, trigger systemer og data systemer.

Vi ønsker å bidra til den planlagte oppgraderingen av LHC til High Luminosity LHC (HL-LHC) og dermed sikre et norsk bidrag til ATLAS og ALICE eksperimentene. Vi søker om finansiering til å forbedre ATLAS og ALICE eksperimentene samt den tilsvarende e-infrastrukturen. Dermed sikrer vi det norske medlemskapet i disse eksperimentene, og ikke minst vår posisjon ved flere av de internasjonalt anerkjente områdene av høyenergifysikk. Dette er også en unik mulighet for norske forskere til å høste fruktene av mange års arbeid med detektorutvikling, noe som kan resultere i helt nye detektorteknologier som kan ha nytteverdi utover forskningsfeltet. 

Når den er ferdig vil HL-LHC gi høyere statistikk enn tidligere tilgjengelig på energier som ikke har vært studert før, noe som kan gi ny og viktig innsikt og kanskje også nye gjennombrudd i forskningen.

With the Large Hadron Collider (LHC) at CERN we entered a new era of research in High Energy physics. During its first years of operation the LHC has been proven very successful, culminating with the discovery of the Higgs boson. To fully take advantage of the potential of the LHC machine to make new discoveries, a series of upgrades is planned. First, the energy will be increased from 8 to 13 and eventually 14 TeV. Second, the beam intensity will be upgraded during two interruptions to regular LHC operation: first in 2019-2020, then again during 2024-2025. Since the intensity upgrades lead to 2-10 times higher collision rates delivered to the experiments (as well as higher radiation doses), the LHC experiments with Norwegian participation, ATLAS and ALICE, need to enhance their detectors, trigger systems, and computing systems accordingly.  

In this proposal we have addressed in a consistent way the infrastructure requirements for exploitation of the LHC luminosity upgrades. We apply for funding for step one of the improvements to the ATLAS and ALICE experiments and the re-furbishing and expansion of the required e-infrastructure, thus securing Norwegian membership in these experiments and our position at several of the internationally recognized frontiers of high energy physics research. It is also a unique opportunity for Norwegian researchers to harvest the outcome of many years of detector R&D, which may result in new detector technologies. 

When ready, the HL-LHC will give unprecedented statistics at collision energies never before probed, which promises important new physics insight and possibly new discoveries.

0 projects

FORINFRA-Nasj.sats. forskn.infrastrukt

Enabling LHC Physics at Extreme Collision Rates II

Awarded: NOK 80.0 mill.

Project Period: 2023-2027

Location: Oslo

FORINFRA-Nasj.sats. forskn.infrastrukt

Enabling LHC Physics at Extreme Collision Rates

Awarded: NOK 85.0 mill.

Project Period: 2018-2024

Location: Oslo