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Studera informatik

InnehållVad är informatik?Studera informatik hos ossFristående kurserKandidatprogrammetMagisterprogrammetForskarutbildningenStudenter berättar om kandidatprogrammetStudenter berättar om magisterprogrammet Vad är informatik? Informatik handlar om att använda informationsteknik (IT) för att stödja olika typer av verksamheter och lösa deras problem. Det är ett brett och tvärvetenskapligt område som b

https://www.ehl.lu.se/organisation/institutionen-informatik/studera-informatik - 2026-09-08

Full Program

Conference and seminars: Peer support and Experiential knowledge in higher education Below you'll find the full program for the conference Peer Support and Experiential Knowledge, 13-15 May 2024. Monday 13 May, Conference Day9.00 – 10.00 Coffee and registration, Room: Entrence hall, School of Social Work, Allhelgona kyrkogata 8 (Gamla Köket).10.00 – 10.30 Welcome, Room: Edens Aula.10.30 – 11.00 Ke

https://www.soch.lu.se/full-program - 2026-09-07

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Soil microbes play an important role in governing global processes such as carbon cycling, but it is challenging to study them embedded in their natural environment and at the single cell level due to the opaque nature of the soil. Nonetheless, progress has been achieved in recent years towards visualizing microbial activities and organo-mineral interaction at the pore scale, especially thanks to

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Early detection of breast cancer is important to reduce morbidity and mortality. Access to breast imaging is limited in low- and middle-income countries compared to high-income countries. This contributes to advance-stage breast cancer presentation with poor survival. Pocket-sized portable ultrasound device, also known as point-of-care ultrasound (POCUS), aided by decision support using deep learn

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Diffusion MRI uses the random displacement of water molecules to sensitize the signal to brain microstructure and to properties such as the density and shape of cells. Microstructure modeling techniques aim to estimate these properties from acquired data by separating the signal between virtual tissue 'compartments' such as the intra-neurite and the extra-cellular space. A key challenge is that th

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Many patients with Parkinson's disease (PD) experiencing L-DOPA-induced dyskinesia (LID) receive adjunct treatment with dopamine agonists, whose functional impact on LID is unknown. We set out to compare temporal and topographic profiles of abnormal involuntary movements (AIMs) after L-DOPA dose challenges including or not the dopamine agonist ropinirole. Twenty-five patients with PD and a history

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Concerns have been raised regarding a potentially increased risk of cancer associated with treatment with glucagon-like peptide-1 (GLP-1) receptor agonists. Here, we explored whether fasting and oral glucose tolerance test post-challenge glucose-dependent insulinotropic peptide (GIP) and GLP-1 levels were associated with incident first cancer. Within the cardiovascular re-examination arm of the po

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Common single-nucleotide polymorphisms (SNPs) are predicted to collectively explain 40–50% of phenotypic variation in human height, but identifying the specific variants and associated regions requires huge sample sizes1. Here, using data from a genome-wide association study of 5.4 million individuals of diverse ancestries, we show that 12,111 independent SNPs that are significantly associated wit

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BACKGROUND: Mean diffusivity (MD) and fractional anisotropy (FA) from diffusion MRI (dMRI) have been associated with cell density and tissue anisotropy across tumors, but it is unknown whether these associations persist at the microscopic level.PURPOSE: To quantify the degree to which cell density and anisotropy, as determined from histology, account for the intra-tumor variability of MD and FA in

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Background and aims: The aim of the study was to determine potential associations between endothelial dysfunction and arterial stiffness, measured by peripheral arterial tonometry, and coronary artery calcium score (CACS) assessed by computed tomography (CT). Methods and results: The BIG3 study is a prospective longitudinal, non-interventional, pulmonary-cardiovascular cohort study exploring the t

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This study investigated the spatial dynamics of bark beetle infestations and their relationships with risk factors in south-eastern Swedish forests during the years 2018–2020, highlighting the importance of spatial heterogeneity of risk factors, particularly under climate change. First, global Random Forest (RF) models were developed to examine the relationships between bark beetle infestations an

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In Sweden a new legislation on bribery was introduced in 2012. The purpose of the regulation was to create a more efficient, more accessible and more modern legislation with clearer criteria for criminal liability. In this essay I will examine the legislation regarding the new offense of negligent financing of bribery, chapter 10, 5th e § Penal Code. Through this new legislation, it is possible to

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Background: This study evaluates deep learning (DL) using gene expression (GEX) and preoperatively available clinical data (PreopClinic) to predict sentinel lymph node macro-metastasis (SLNM), and explores their potential for guiding axillary surgery de-escalation and supporting prognostic assessment.Methods: We retrospectively included 6,836 clinically node-negative (cN0) T1-T2 patients with inva

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Physical activity (PA) may modify the genetic effects that give rise to increased risk of obesity. To identify adiposity loci whose effects are modified by PA, we performed genome-wide interaction meta-analyses of BMI and BMI-adjusted waist circumference and waist-hip ratio from up to 200,452 adults of European (n = 180,423) or other ancestry (n = 20,029). We standardized PA by categorizing it int

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The European spruce bark beetle is a major disturbance agent in Norway spruce forests in Europe, and with a changing climate it is predicted that damage will increase. To prevent the bark beetle population buildup, and to limit further spread during outbreaks, it is crucial to detect attacked trees early. In this study, we utilize Sentinel-2 data in combination with a risk map, created from geodat

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Background Dyspnoea is one of the emergency department’s (ED) most common and deadly chief complaints, but frequently misdiagnosed and mistreated. We aimed to design a diagnostic decision support which classifies dyspnoeic ED visits into acute heart failure (AHF), exacerbation of chronic obstructive pulmonary disease (eCOPD), pneumonia and “other diagnoses” by using deep learning and complete, uns

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We present a unique comparative analysis, and evaluation of vision, radio, and audio based localization algorithms. We create the first baseline for the aforementioned sensors using the recently published Lund University Vision, Radio, and Audio (LuViRA) dataset, where all the sensors are synchronized and measured in the same environment. Some of the challenges of using each specific sensor for in

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We present a synchronized multisensory dataset for accurate and robust indoor localization: the Lund University Vision, Radio, and Audio (LuViRA) Dataset. The dataset includes color images, corresponding depth maps, inertial measurement unit (IMU) readings, channel response between a 5G massive multiple-input and multiple-output (MIMO) testbed and user equipment, audio recorded by 12 microphones,

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Climate change and connected environmental disruptions have a large negativeeffect on the health of humans and other species. Improved understanding ofknown links in the environment-disease nexus as well as knowledge gaps isessential to prepare for and mitigate this escalating threat. However, knowledgefragments are scattered across millions of scientific articles making informationsynthesis too c

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We face closely intertwined crises related to biodiversity, climate change, global health andinequality. Unfortunately, the knowledge that could help overcome these existential crises isscattered across millions of scientific articles, reports, policy documents, databases, andindividual datasets, far exceeding human processing capabilities. This hinders evidence-basedresearch, innovation and polic