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The prognostic impact of the tumour stroma fraction : A machine learning-based analysis in 16 human solid tumour types

Background: The development of a reactive tumour stroma is a hallmark of tumour progression and pronounced tumour stroma is generally considered to be associated with clinical aggressiveness. The variability between tumour types regarding stroma fraction, and its prognosis associations, have not been systematically analysed. Methods: Using an objective machine-learning method we quantified the tum

Freely available artificial intelligence for pelvic lymph node metastases in PSMA PET-CT that performs on par with nuclear medicine physicians

Purpose: The aim of this study was to develop and validate an artificial intelligence (AI)-based method using convolutional neural networks (CNNs) for the detection of pelvic lymph node metastases in scans obtained using [18F]PSMA-1007 positron emission tomography-computed tomography (PET-CT) from patients with high-risk prostate cancer. The second goal was to make the AI-based method available to

Cultural ideals in the entrepreneurship industry

As both public and private organizations are spending resources on fostering entrepreneurship, we have witnessed the emergence of an entrepreneurship industry. Using the entrepreneurship industry in Sweden as a case and example, this chapter provides an explorative analysis the emergence, manifestations and consequences of cultural ideals within this industry. The analysis reveals how the entrepre

Neoadjuvant breast cancer treatment response; tumor size evaluation through different conventional imaging modalities in the NeoDense study

Neoadjuvant chemotherapy (NACT) is offered to an increasing number of breast cancer (BC) patients, and comprehensive monitoring of treatment response is of utmost importance. Several imaging modalities are available to follow tumor response, although likely to provide different clinical information. We aimed to examine the association between early radiological response by three conventional imagi

Predicting and elucidating the etiology of fatty liver disease: A machine learning modeling and validation study in the IMI DIRECT cohorts

BACKGROUND: Non-alcoholic fatty liver disease (NAFLD) is highly prevalent and causes serious health complications in individuals with and without type 2 diabetes (T2D). Early diagnosis of NAFLD is important, as this can help prevent irreversible damage to the liver and, ultimately, hepatocellular carcinomas. We sought to expand etiological understanding and develop a diagnostic tool for NAFLD usin

A Randomised RSA Study of Peri-Apatite [trademark] HA coating of a Knee Prosthesis

Fifty knees scheduled for a total knee prosthesis were randomized in two groups. Both groups had a noncemented fixation of the porous-coated implants but one group received a prosthesis with ceramic coating on the porous surface of the implant. The knees were evaluated with RSA technique regarding micromotion the first two years. There were less micromotion in the coated group. The results indicat

Sustainable Development In Practice - Infrastructure for the third generation mobile telephone system in Sweden

The infrastructure for the third generation of mobile telephony, UMTS, is under construction in Sweden. Within three years four operators were to build competing systems to cover 99,98 % of the population. The case of the 3G infrastructure illustrates how the sustainability issues are handled in planning and environmental management, with conflicting goals between institutional levels and compet

Black Feminist Theory and Literature in the Critical Language Classroom: An Interdisciplinary Study of Octavia E. Butler’s Kindred and How It Can Be Used to Engage in Critical Pedagogy in the Swedish Upper Secondary ESL Classroom

The aim of this interdisciplinary study is to consider how teachers of English as a second language (ESL) might engage with critical pedagogy through the use of literature. This is illustrated by, on the one hand, applying a Black feminist lens to Octavia E. Butler’s 1979 science fiction novel Kindred, which is argued to constitute an appropriate novel for upper secondary students to read. On the

Charge Regulation during Amyloid Formation of α-Synuclein

Electrostatic interactions play crucial roles in protein function. Measuring pKa value perturbations upon complex formation or self-assembly of e.g. amyloid fibrils gives valuable information about the effect of electrostatic interactions in those processes. Site-specific pKa value determination by solution NMR spectroscopy is challenged by the high molecular weight of amyloid fibrils. Here we rep