Sökresultat

Vi studerar blod- och immunsystemet och dess sjukdomar. Ett särskilt fokusområde är hur medfödd genetisk variation påverkar hur blod- och immunceller, och hur sådan variation kan utnyttjas kliniskt. Vilka gener och genmutationer styr t ex risken för blodcancer? Kan vi utnyttja dem för att förebygga och behandla? Vilka styr vår blodgruppsuppsättning? Kan vi utnyttja dem för säkrare transfusion? EttWe study the blood and immune system and its diseases. A particular focus area is how congenital genetic variation affects blood and immune cells, and how such variation can be utilized clinically. Which genes and gene mutations control, for example, the risk of blood cancer? Can we use them to prevent and treat? Who controls our blood group set? Can we use them for safer transfusion? Another impo

https://www.mhm.lu.se/internt/school-premises - 2026-05-07

https://www.isk.lu.se/komc24-public-relations-and-strategic-communication-new-media-30-credits - 2026-05-07

https://www.ub.lu.se/accessibility-lup-statistics - 2026-05-07

Social capital can be a vital resource for entrepreneurs but so far research has not addressed how it is accessed through online communication channels. This paper presents a new way of sourcing network information about Swedish entrepreneurs and consequently explores whether rural entrepreneurs utilize online social capital as much as entrepreneurs from urban or metropolitan areas do. Theory impl

This paper exposes and problematises the situation of children and adolescents with (dis)abilities in relation to Sweden’s Art and Music Schools during the time period of a national policy process.Many researchers in the Nordic countries have raised aspects of democracy in music education, as a path toward the inclusion of all children. The inclusion of children and adolescents with (dis)abilities

https://www.ub.lu.se/accessibility-open-books-lund-university - 2026-05-07

Technology has become a vital part of people’s lives. Mobile phones, smart phones, social media platforms, apps and other internet-connected devices and software have changed our way of interacting with each other, as well as managing everyday tasks. In this article, the use of such technology is discussed in relation to its integration in the lives of women who are victims of domestic violence. T

This report discusses the implementation of machine learning algorithms for personalising question selection in a questionnaire-based self-report app for individuals suffering from mental health issues. A so-called \textit{Random Forest - Genetic Algorithm} (RFGA) hybrid prediction method is used to find an optimal set of relevant questions to pose to new users in the app. A complementary ad-hoc pTeaching computers to find factors that affect the mental health of app users By training computers to find patterns in how users answer questions regarding their mental health in self-report apps, factors that affect the users' psychological well-being can be found.