Search results

Filter

Filetype

Your search for "*" yielded 569371 hits

Stockholm

4 juli 2020 Källa postnummerdata: Postnummerservice AB Karta med uppskattad förekomst av covid-19 i den vuxna befolkningen (20-79 år) i olika områden i Stockholms län, 4 juli 2020. Områdesindelningen är gjord utifrån de två första siffrorna i studiedeltagarnas postnummer. I Norrtälje har studien hittills färre än 500 deltagare, och därför kan man inte göra tillräckligt säkra beräkningar för att ku

https://www.covid19app.lu.se/kartor/kartor/stockholm/vecka-27/stockholm-4 - 2026-10-25

Stockholm

5 juli 2020 Källa postnummerdata: Postnummerservice AB Karta med uppskattad förekomst av covid-19 i den vuxna befolkningen (20-79 år) i olika områden i Stockholms län, 5 juli 2020. Områdesindelningen är gjord utifrån de två första siffrorna i studiedeltagarnas postnummer. I Norrtälje har studien hittills färre än 500 deltagare, och därför kan man inte göra tillräckligt säkra beräkningar för att ku

https://www.covid19app.lu.se/kartor/kartor/stockholm/vecka-27/stockholm-5 - 2026-10-25

Stockholm

6 juli 2020 Källa postnummerdata: Postnummerservice AB Karta med uppskattad förekomst av covid-19 i den vuxna befolkningen (20-79 år) i olika områden i Stockholms län, 6 juli 2020. Områdesindelningen är gjord utifrån de två första siffrorna i studiedeltagarnas postnummer. I Norrtälje har studien hittills färre än 500 deltagare, och därför kan man inte göra tillräckligt säkra beräkningar för att ku

https://www.covid19app.lu.se/kartor/kartor/stockholm/vecka-28/stockholm - 2026-10-25

Skåne

30 juni 2020 Källa postnummerdata: Postnummerservice AB Karta med uppskattad förekomst av symtomatyisk covid-19 i den vuxna befolkningen (20-79 år) i olika områden i Skåne, 30 juni 2020. Områdesindelningen är gjord utifrån de två första siffrorna i studiedeltagarnas postnummer. Ladda ned appen här

https://www.covid19app.lu.se/kartor/kartor/skane/vecka-27/skane-0 - 2026-10-25

Severe insulin-deficient diabetes – mechanisms & pathways

Leaders for work package 4: Lena Eliasson and Enming Zhang (Enming Zhang acts as Erik Renström’s deputy) The severe insulin-deficient diabetes (SIDD) subgroup is characterised by non-autoimmune impaired insulin secretion and was previously hidden in the type 2 diabetes group. In this work package we aim to examine underlying mechanisms of to find possible pharmacological targets to be used in pers

https://www.ludc.lu.se/ludc-irc/severe-insulin-deficient-diabetes-mechanisms-pathways - 2026-10-25

Severe autoimmune diabetes (SAID) – mechanisms and pathways

Leaders for work package 3: Luis Sarmiento-Pérez, Åke Lernmark, and Annelie Carlsson Investigators at the LUDC-IRC have a long track record of conducting studies aimed at early prediction and prevention of type 1 diabetes (in our new sub classification also referred as SAID – severe autoimmune diabetes) and its complications in children. Efforts include the initiation and maintenance of well-chara

https://www.ludc.lu.se/ludc-irc/severe-autoimmune-diabetes-said-mechanisms-and-pathways - 2026-10-25

LUDC Bioinformatics Unit – areas of expertise

The LUDC Bioinformatics Unit provides researchers, students, and technical personnel affiliated with LUDC with bioinformatics, biostatistics, and computational support. The unit also offers access to a high-performance computing environment. For questions or support requirements, please see contact details on this page.Link to webpage with more information about support and contact detailsBioinfor

https://www.ludc.lu.se/resources/ludc-bioinformatics-unit - 2026-10-25

LUDC Bioinformatics Unit – contact and support

Our team is here to help you with bioinformatics, biostatistics, and computational support. Do you have short and specific questions for our experts? Our preferred means of communication is our dedicated Slack channel. Anyone with a Faculty of Medicine email address (@med.lu.se) can join this channel. You can also email your questions directly to specific members of the Bioinformatics Unit.Link to

https://www.ludc.lu.se/resources/ludc-bioinformatics-unit-contact - 2026-10-25

Innovation support at Lund University

Do you have an idea or research results that you would like to pursue further? Students and researchers at Lund University can discuss ideas with an innovation developer at LU Innovation. One way for you to ensure that your research findings bring value outside of the research environment is to transform them into a new service, product, or method. If you believe that your research findings could

https://www.ludc.lu.se/resources/innovation-support - 2026-10-25

Translational Muscle Research Unit

Ola Hansson’s group Our researchOur research unit is interested in learning how genetic variation influences skeletal muscle function and whole-body metabolism.We use translational approaches and regularly conduct focused intervention studies in humans. These studies involve taking skeletal muscle biopsies. From the biopsies, muscle stem cells (satellite cells) are isolated and later used for prec

https://www.ludc.lu.se/translational-muscle-research-unit - 2026-10-25

Diabetes – Immunovirology

Corrado Cilio’s group Our researchThere is still no cure for type 1 diabetes (T1D), a disease which is associated with severe chronic complications. Obtaining a comprehensive understanding of the triggers and mechanisms responsible for beta cell loss in T1D is crucial for establishing therapeutic approaches that can either slow down or prevent the disease.Our research focuses on understanding how

https://www.ludc.lu.se/research/diabetes-immunovirology - 2026-10-25

Translational Diabetes Research

Allan Vaag’s group Our researchOur translational research strategy integrates multiple complementary research fields and innovative technologies to address key questions in the fields of integrative physiology, for example ex vivo multi-omics, muscle and adipose tissue biology, genetics, epigenetics, epidemiology, register research, and clinical trials.Our team and collaborators take advantage of

https://www.ludc.lu.se/research/translational-diabetes-research - 2026-10-25

Flow Cytometry Core Facility at LUDC

The Flow Cytometry Core Facility at LUDC provides instrumentation and technical assistance to perform flow cytometric analysis and operator-based cell sorting service to all Lund University scientists. Scientists from other universities and the industry can also use the equipment. The LUDC Flow Cytometry Core Facility at LUDC is a flow cytometry facility located at Clinical Research Centre in Malm

https://www.ludc.lu.se/resources/flow-cytometry-core-facility-ludc - 2026-10-25