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Din sökning på "SASH92 – Social AI through the Looking Glass" gav 48226 sökträffar

The Generative Mechanisms of Healthcare Digitalization

Digitalization is considered as an important strategy to meet the challenges facing healthcare sector. However, the results often fall below expectations. Furthermore, the literature has provided a fragmented understanding as previous studies have generally focused on the advantages and the barriers of the adoption of health care IS. Very little attention has been paid to the generative mechanisms

A Mean-Variance Based Index for Dynamic Context Data Lookup

A primary functionality of context aware applications is the retrieval of different types of context data from various context sources and adapting their behavior accordingly. In order to facilitate context aware application development, a context aware middleware must provide an effective context data management and lookup strategy. The use of a traditional index for indexing dynamic context data

Early diagnosis of primary Sjögren's syndrome: EULAR-SS task force clinical recommendations.

Sjögren's syndrome (SjS) is a systemic autoimmune disease that mainly affects the exocrine glands, leading to generalized mucosal dryness. However, primary SjS may initially present with non-sicca (systemic) manifestations. When these features appear before the onset of an overt sicca syndrome, we may talk of an underlying 'occult' SjS. The European League Against Rheumatism (EULAR) has promoted a

Performance of an alpha-IPEM

The ion photon emission microscope, or IPEM, is the first device that allows scientists to microscopically study the effects of single ions in air on semiconductors, microchips and even biological cells without having to focus the beam. Reported here is a prototype, the size of a conventional optical microscope, developed at Sandia. The alpha-IPEM, that employs alpha particles from a radioactive s

StanceXplore: Visualization for the Interactive Exploration of Stance in Social Media

The use of interactive visualization techniques in Digital Humanities research can be a useful addition when traditional automated machine learning techniques face difficulties, as is often the case with the exploration of large volumes of dynamic—and in many cases, noisy and conflicting—textual data from social media. Recently, the field of stance analysis has been moving from a predominantly bin

Dietary fibre in food and protection against colorectal cancer in the European Prospective Investigation into Cancer and Nutrition (EPIC): an observational study

Background Dietary fibre is thought to protect against colorectal cancer but this view has been challenged by recent prospective and intervention studies that showed no protective effect. Methods We prospectively examined the association between dietary fibre intake and incidence of colorectal cancer in 519 978 individuals aged 25-70 years taking part in the EPIC study, recruited from ten European

Neutrophil-derived proteinase 3 induces kallikrein-independent release of a novel vasoactive kinin.

The kinin-forming pathway is activated on endothelial cells and neutrophils when high-molecular weight kininogen (HK) is cleaved by plasma kallikrein liberating bradykinin, a potent mediator of inflammation. Kinins are released during inflammatory conditions such as vasculitis, associated with neutrophil influx around blood vessels. Some patients with vasculitis have elevated plasma levels of neut

Upper secondary school

Upper secondary school | Vattenhallen Science Center Skip to main content This site uses cookies to enhance the user experience. By continuing to use the site you agree that cookies are used according to our Cookie Policy (on the website of LTH) . Essential cookies These cookies are necessary for the website to function and cannot be turned off in our systems. These cookies do not store any person

https://www.vattenhallen.lu.se/vattenhallen-english/school/schoolvisits/uppersecondaryschool/ - 2025-08-26

Relating MR relaxation times of ex vivo meniscus to tissue degeneration through comparison with histopathology

Background: Quantitative magnetic resonance imaging (MRI), e.g. relaxation parameter mapping, may be sensitive to structural and compositional tissue changes, and could potentially be used to non-invasively detect and monitor early meniscus degeneration related to knee osteoarthritis. Objective: To investigate MR relaxation times as potential biomarkers for meniscus degeneration through comparison

Pre-processing for image quality improvement in simultaneous DBT and mechanical imaging

Simultaneous digital breast tomosynthesis (DBT) and mechanical imaging (MI) offer the potential to combine anatomic information from DBT with functional information from MI. This makes it possible to associate tissue stiffness with specific anatomic structures in the breast, a combination that can reduce false-positive findings by using the MI data to discriminate between ambiguous lesions in DBT.

Assessment of Global Lung Function Initiative (GLI) reference equations for diffusing capacity in relation to respiratory burden in the Swedish CArdioPulmonary bioImage Study (SCAPIS)

The Global Lung Function Initiative (GLI) has recently published international reference values for diffusing capacity of the lung for carbon monoxide (DLCO). Lower limit of normal (LLN), i.e. the 5th percentile, usually defines impaired DLCO We examined if the GLI LLN for DLCO differs from the LLN in a Swedish population of healthy, never-smoking individuals and how any such differences affect id

Association between nutritional profiles of foods underlying Nutri-Score front-of-pack labels and mortality: EPIC cohort study in 10 European countries

Objective To determine if the Food Standards Agency nutrient profiling system (FSAm-NPS), which grades the nutritional quality of food products and is used to derive the Nutri-Score front-of-packet label to guide consumers towards healthier food choices, is associated with mortality. Design Population based cohort study. Setting European Prospective Investigation into Cancer and Nutrition (EPIC) c

A Masked Language Model for Multi-Source EHR Trajectories Contextual Representation Learning

Using electronic health records data and machine learning to guide future decisions needs to address challenges, including 1) long/short-term dependencies and 2) interactions between diseases and interventions. Bidirectional transformers have effectively addressed the first challenge. Here we tackled the latter challenge by masking one source (e.g., ICD10 codes) and training the transformer to pre

Prediction of Ki-67 expression of breast cancer with a multiparametric model using MRI parameters from ultrafast DCE-MRI and DWI

The purpose of this study is to investigate the prediction of Ki-67 expression of breast cancers using MRI parameters from ultrafast (UF) DCE-MRI, DWI, T2WI, and the lesion size. Breast MRI was performed with a 3T scanner using dedicated breast coils. UF DCE-MRI was obtained using Compressed Sensing-VIBE (prototype sequence). As a kinetic parameter of UF DCE-MRI, maximum slope (MS) was defined as

A high resolution multi-object spectrograph for the VLT : a pre-concept design

Following the idea originally proposed during the ESO-Workshop The Very Large Telescope in 2030, the concept of a high resolution spectrograph for the VLT has been further explored, both for the science and technological aspects. Such an instrument will fill a gap in capabilities amongst the landscape of future instrumentation planned for the next decade. Its key characteristic will be high spectr

Challenges and opportunities for early career medical professionals in cardiovascular magnetic resonance (CMR) imaging : a white paper from the Society for Cardiovascular Magnetic Resonance

The early career professionals in the field of Cardiovascular Magnetic Resonance (CMR) face unique challenges and hurdles while establishing their careers in the field. The Society for Cardiovascular Magnetic Resonance (SCMR) has expanded the role of the early career section within the society to foster the careers of future CMR leaders. This paper aims to describe the obstacles and available oppo

Indoor air pollution in low-income countries - assessment and characterization of particulate matter from cooking with solid biofuels

Based on field measurements in 26 Ethiopian homes, we have estimated an average indoor air exchange rate (AER). In laboratory settings, using on-line methods, we have burned common solid biofuels (charcoal, wood, cow dung, crops residue) in a traditional way, thereby generated airborne particles, and assessed various aerosol characteristics. All the fuels generated PM2.5 (particles smaller than 2.

AI lesion risk score at different exposure settings

Purpose: The purpose of this study was to investigate whether the lesion risk score provided by an AI system is influenced by the selection of exposure parameters. Methods: A breast phantom which contains a lesion, was imaged with digital mammography with different imaging conditions. The tube voltage, the dose level and the anode-filter combination were varied based on an exposure obtained with a