Filtyp
Professor Kontaktinformation E-post: henrik [dot] smith [at] biol [dot] lu [dot] se Telefon: +46 46 222 93 79 Mobil: +46 70 978 20 56Organisation Biodiversitet och evolution Besöksadress: Sölvegatan 37, Lund Rumsnummer: E-C313 Hämtställe: 50 WebbplatsHenrik Smiths profil i Lunds universitets forskningsportalAndra roller Koordinator LU profilområde: Naturbaserade framtidslösningar Professor Biodive
https://www.cec.lu.se/sv/henrik-smith - 2026-09-27
Professor Kontaktinformation E-post: henrik [dot] smith [at] biol [dot] lu [dot] se Telefon: +46 46 222 93 79 Mobil: +46 70 978 20 56Organisation Biodiversitet och evolution Besöksadress: Sölvegatan 37, Lund Rumsnummer: E-C313 Hämtställe: 50 WebbplatsHenrik Smiths profil i Lunds universitets forskningsportalAndra roller Koordinator LU profilområde: Naturbaserade framtidslösningar Professor Biodive
https://www.mgeo.lu.se/henrik-smith - 2026-09-27
Centrum för handelsforskning vid Lunds universitet VERKSAMHETSBERÄTTELSE | 2020 2 VERKSAMHETSBERÄTTELSE CENTRUM FÖR HANDELSFORSKNING 2020 3 VERKSAMHETSBERÄTTELSE CENTRUM FÖR HANDELSFORSKNING 2020 Inledning Centrum för handelsforskning – det sjunde året För oss precis som för många andra har 2020 varit ett speciellt år. Corona har utmanat oss, på många olika sätt. En omedel- bar effekt var att det
https://www.lusem.lu.se/sites/lusem.lu.se/files/2024-01/verksamhetsberattelse-2020.pdf - 2026-09-27
1 Litteratur och kunskap 2024: DELTAGARE Louise Almqvist, Umeå universitet Matilda Amundsen Bergström, Göteborgs universitet Maja Andreasson, Uppsala universitet Vicky Angelaki, Mittuniversitetet Anna Backman, Göteborgs universitet Christian Benne, Köpenhamns universitet Katarina Bernhardsson, Lunds universitet Anna Biström, Helsingfors universitet Saga Bokne, Karlstads universitet Gustav Borsgård
https://www.sol.lu.se/fileadmin/user_upload/sol/aemnen/sektion2/amneskonferens/Deltagare_-_rev._1_okt.pdf - 2026-09-26
Professor Contact details Email: anna_maria [dot] jonsson [at] mgeo [dot] lu [dot] se Phone: +46 46 222 94 10Organisation Department of Earth and Environmental Sciences (MGeo) Room number: 345 Service point: 16 WebpageAnna Maria Jönssons profile in Lund University research portalOther affiliations Member of Strategic Research Area BECC: Biodiversity and Ecosystem services in a Changing Climate Coo
https://www.nateko.lu.se/anna-maria-jonsson - 2026-09-27
Professor Contact details Email: anna_maria [dot] jonsson [at] mgeo [dot] lu [dot] se Phone: +46 46 222 94 10Organisation Department of Earth and Environmental Sciences (MGeo) Room number: 345 Service point: 16 WebpageAnna Maria Jönssons profile in Lund University research portalOther affiliations Member of Strategic Research Area BECC: Biodiversity and Ecosystem services in a Changing Climate Coo
https://www.mgeo.lu.se/en/anna-maria-jonsson - 2026-09-27
OBJECTIVE: To assess the association of cardiometabolic risk factors with hospitalisation or death due to COVID-19 in the general population.DESIGN, SETTING AND PARTICIPANTS: Swedish population-based cohort including 29 955 participants.EXPOSURES: Cardiometabolic risk factors assessed between 2014 and 2018.MAIN OUTCOME MEASURES: Hospitalisation or death due to COVID-19, as registered in nationwide
Background: Metabolic syndrome (MetS) is characterized by coexisting risk factors for type 2 diabetes and cardiovascular disease. Diet is of importance in their aetiology, and gut microbiota (GM) may constitute a link between diet and metabolic health. Understanding the interplay between diet and GM could contribute novel insights for future dietary guidelines, and aid in preventive actions to mot
Objective: This study was undertaken to develop and characterize a multiplex immunoassay for detection of autoantibodies against peptides derived from proteins known to play a role in development of arthritis and that are also expressed in joints. Methods: We selected peptides from the human counterpart of proteins expressed in the joints, based on mouse models that showed these to be targeted by
AIM: To study the characteristics and outcome among cardiac arrest cases with COVID-19 and differences between the pre-pandemic and the pandemic period in out-of-hospital cardiac arrest (OHCA) and in-hospital cardiac arrest (IHCA). METHOD AND RESULTS: We included all patients reported to the Swedish Registry for Cardiopulmonary Resuscitation from 1 January to 20 July 2020. We defined 16 March 2020
Background: The ankle–brachial index (ABI) is the ratio of the ankle and brachial systolic blood pressures. In the clinical setting, low ABI (< 0.9) is an indicator of peripheral atherosclerosis, while high ABI (> 1.4) is a sign of arterial stiffness and calcification. The purpose of the current study was to investigate the association between ABI and physical activity levels, measured by accelero
Self-reported family history of myocardial infarction (MI) is frequently used to assess cardiovascular risk. However, validation of self-reported family history has often been limited to small samples, and to death-certificates or self-reported medical history as reference. This study investigated the accuracy of self-reported family history of MI in a population-based cohort, using register data
Background: Aortic valve calcification (AVC) is an underlying pathophysiological mechanism in aortic stenosis, which shares many risk factors with diabetes. However, the association between dysglycemia and early stages of AVC remains unclear. The aim was to examine the associations between stages of dysglycemia and signs of AVC among middle-aged individuals from the general population. Methods: Th
Förnamn Efternamn Beskrivning Hakim Abdi 156911 CEC - Forskare Anders Ahlström 156311 INES - Univlekt Cecilia Akselsson 156311 INES - Professor Helena Alexanderson 156350 Geologi - Professor Nikolaos Alexandridis 156911 CEC - Forskare Johanna Alkan Olsson 156911 CEC - Univlekt Carl Alwmark 156350 Geologi - Univlekt Sanna Alwmark 156350 Geologi - Univlekt, Biträdande Tobias Ambjörnsson 156911 CEC -
Senior lecturer Contact details Email: johanna [dot] alkan_olsson [at] mgeo [dot] lu [dot] seOrganisation Department of Earth and Environmental Sciences (MGeo) Service point: 16 WebpageJohanna Alkan Olssons profile in Lund University research portalOther affiliations Director of first and second cycle studies Department of Earth and Environmental Sciences (MGeo) Member of Strategic Research Area B
https://www.mgeo.lu.se/en/johanna-alkan-olsson - 2026-09-27
Background: Patients with type 2 diabetes have an increased risk of death and cardiovascular events and people with diabetes or prediabetes have been found to have increased atherosclerotic burden in the coronary and carotid arteries. This study will estimate the cross-sectional prevalence of atherosclerosis in the coronary and carotid arteries in individuals with prediabetes and diabetes, compare
IMPORTANCE Risk stratification strategies in primary prevention of coronary events lack precision. OBJECTIVE To determine whether prediction of first coronary events is improved by adding information on coronary atherosclerosis from coronary computed tomography angiography (CCTA) to a model using the pooled cohort equation (PCE) risk score tool and the coronary artery calcification score (CACS). D
Lunds universitets anknutna stiftelser per 2025-05-23 1 Lunds universitets anknutna stiftelser per 2025-05-23 Bidrag som utbetalas direkt från en anknuten stiftelse bokförs på: Konto: 36220 Bidrag övriga organisationer och ideella föreningar Motpart: 8000 Övriga svenska Finansiär: 430 LU:s anknutna stiftelser Kod och namn 91001 Stiftelsen Elisabeth Andergårds fond för medicinsk forskning 91002 Sti
De stora miljö- och samhällsproblemen kommer inte ensamma. De är sammankopplade på olika sätt. Detta innebär utmaningar men ger också möjligheter att utveckla åtgärder och lösningar. Det gäller både för klimatfrågan och frågan om att motverka förlusten av biologisk mångfald och ekosystem. Kunskapens betydelse för att hantera dessa och andra aspekter är ovärderlig, såväl kring specifika frågeställn
Background: Plaque analysis with coronary computed tomography angiography (CCTA) is a promising tool to identify high risk of future coronary events. The analysis process is time-consuming, and requires highly trained readers. Deep learning models have proved to excel at similar tasks, however, training these models requires large sets of expert-annotated training data. The aims of this study were
