Here, we aimed to develop and validate a fully automated artificial intelligence (AI)-based method for the detection and quantification of suspected prostate tumour/local recurrence, lymph node metastases, and bone metastases from [18F]PSMA-1007 positron emission tomography-computed tomography (PET-CT) images. Images from 660 patients were included. Segmentations by one expert reader were ground t

Mutated Nucleophosmin 1 (NPM1) is the most common genetic alteration in acute myeloid leukemia (AML), found in approximately 30% of cases. Although mutations in this gene are considered favorable according to current risk stratification guidelines, a large fraction of patients will suffer from relapse, demonstrating the urgent need for new treatment options. Therefore, we aimed to identify cell su

The rate of cancer patients will continue to increase in the coming decades. Additionally, new treatments will continue to emerge. The increased survival rates and the anti-tumour medications used will without doubt contribute to an increased rate of patients with oncological emergencies. Patients with oncologic emergencies will foremost seek care at an emergency department, but physicians at othe

This study explores when and why entrepreneurs choose entrepreneurial learning strategies that emphasize exploration or exploitation. Most studies have focused on explaining the different characteristics of exploration and exploitation, their performance implications, whether they are complementarities or substitutes and how particular organizational structures can support their coexistence. We ap

Det här kapitlet undersöker fenomenet influencers från ett arbetslivsperspektiv. Den kulturanalytiska utgångspunkten är ett intresse för hur personer som försörjer sig som influencers i sociala medier själva upplever arbetet, det liv som arbetet innebär och de hälsorisker det medför. Forskning om influencers har ofta haft ett annat fokus, såsom ett marknadsföringsperspektiv som beskriver hur föret

To make the content of moving images and audio-visual media available to a visually impaired audience, a sighted interpreter can provide audio description (AD). AD is a verbal description of visual events, aiming to increase the accessibility of visual information and to provide a visually impaired audience with a richer and more detailed understanding and experience of, for instance, films. To ac

A design study, named $${\text {ESS}}\nu {\text {SB}}$$for European Spallation Source neutrino Super Beam, has been carried out during the years 2018–2022 of how the 5 MW proton linear accelerator of the European Spallation Source under construction in Lund, Sweden, can be used to produce the world’s most intense long-baseline neutrino beam. The high beam intensity will allow for measuring the neuA design study, named ESSνSB for European Spallation Source neutrino Super Beam, has been carried out during the years 2018–2022 of how the 5 MW proton linear accelerator of the European Spallation Source under construction in Lund, Sweden, can be used to produce the world’s most intense long-baseline neutrino beam. The high beam intensity will allow for measuring the neutrino oscillations nea

Microservice applications consist of a set of smaller services interacting in a graph structure to deliver the full application. Jobs will traverse this graph in different paths, both depending on the type of job, but also on the current load of different service replicas. Different paths will incur different scenario-specific costs, dependent on, e.g., deployment and the underlying cloud system.

The use of biomass as a renewable source of energy has been increasing over the past few decades, and biomass is regarded as a promising replacement for fossil fuels. Thermochemical conversion of biomass is a common approach for biomass utilization with a relatively short conversion time. Despite the many advantages that biomass offers over fossil fuels, the thermochemical conversion of biomass ha

In this paper, we explore the use of Reinforcement Learning (RL) to improve the control of cooling equipment in Data Centers (DCs). DCs are inherently complex systems, and thus challenging to model from first principles. Machine learning offers a way to address this by instead training a model to capture the thermal dynamics of a DC. In RL, an agent learns to control a system through trial-and-err