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Learning from incidents is considered a very important source for learning and improving safety in the process industries. However, the effectiveness of learning from reported incidents can often be ques-tioned. Therefore, there is a need to be able to evaluate the effectiveness of learning from incidents, and for that purpose we need methods and tools. In this paper, a method is described for eva
Vi är Avdelningen för Datorseende och Maskininlärning (Math-CVML) vid Matematikcentrum, Lunds Tekniska Högskola. Vi bedriver forskning och undervisning i datorseende och maskininlärning i flera olika former. Huvudsyftet med vår forskning är att bidra till den snabba utvecklingen inom detta fält. Vi strävar efter att utveckla matematiska metoder för att hantera olika utmaningar med ett brett användWe are the Division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. Our focus involves both research and teaching in diverse aspects of Computer Vision and Machine Learning. Our research aim to actively contribute to the rapid advancements in these fields. We strive to develop mathematical methodologies to address various challenges within this domain. Our work has
Kliniskt centrum för hälsofrämjande vård integrerar forskning, undervisning och utbildning samt implementering och evaluering av klinisk hälsopromotion. Vår kliniska forskning är gränsöverskridande och syftar till att förbättra patientsäkerheten och hälsan på kort och lång sikt för den enskilda patienten och dennes familj, personalen, hälso- och sjukvården och samhället som stort. Våra aktiviteteThe Clinical Health Promotion Centre integrates research, teaching & training and implementation & evaluation of clinical health promotion. Our clinical research is cross-border and aims to improve patient safety and health benefits on short and long term of the individual patients and their family, the staff, the healthcare and society as a whole. The activities focus on improving prevention, t
Bacterial infections spanning from local wound infections, affecting patients with non-healing leg ulcers, postoperative wounds or burns, to severe infections and sepsis, are significant medical problems. Today's anti-infective treatments do not address the excessive activation of inflammatory pathways during infection and sepsis, and resistance problems are increasing. Hence, there is a huge unm
MERGE is a Strategic Research Area working with modelling the regional and global Climate System with focus on the interactions between the climate and the terrestrial biosphere. MERGE brings together more than 150 researchers collaborating across five Swedish universities - Lund University, Chalmers, University of Gothenburg, KTH and SMHI. The cutting-edge research environment are experts on the
Sweden's ATMP ecosystem is rapidly expanding, solidifying its place as a key player in Europe. Currently ranking among the top three countries among the EU9 for identified therapeutic ATMP companies, Sweden's strategic investments are further reinforcing its leadership (MSC 2020). This includes ongoing initiatives to establish industrial-scale ATMP manufacturing capabilities, enhancing the country
In diffusion MRI (dMRI), images are sensitised to water diffusion by the application of magnetic field gradients. Cell membranes hinder the diffusional motion and thereby contribute to the contrast in dMRI. Thus, the diffusion of water molecules is used a probe of tissue microstructure. Data from dMRI is often analysed using diffusion tensor imaging (DTI), which yields image biomarkers that reflec
Avdelningen ansvarar för läkarprogrammets kursadministration.This division provides the course administration for the Medical Programme.
Network-based biocomputation (NBC) relies on accurate guiding of biological agents through nanofabricated channels produced by lithographic patterning techniques. Here, we report on the large-scale, wafer-level fabrication of optimized microfluidic channel networks (NBC networks) using electron-beam lithography as the central method. To confirm the functionality of these NBC networks, we solve an
BioMS is the national infrastructure for biological mass spectrometry (MS). BioMS offers access to qualified projects in proteogenomics, targeted protein quantitation, glycoproteomics, hydrogen-deuterium exchange MS, glycomics, lipidomics, and chemical proteomics. Detailed information and the project application forms can be found at www.bioms.se. BioMS is hosted by Lund University with support fr
