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Trots den snabba utvecklingen av moderna tekniker för narkos och bedövning upplever många patienter smärta efter kirurgi. God smärtlindring efter en operation kan påskynda återhämtningen och därmed minska risken för komplikationer som blodpropp eller infektion. För att uppnå detta måste vi bli bättre på att hitta individer med ökad risk för postoperativ smärta redan innan de sövs. Sedan tidigare kMany patients experience pain after surgery. Postoperative pain may lead to delayed mobilization, persisting pain, and psychosocial distress. Others are given excessive analgesic doses and experience side effects. More optimal use of pain relief has several advantages, such as faster postoperative mobilization and fewer incidents of venous thromboembolism or infection. To achieve this, we must ide

The uniqueness of the Stockholm test-bed is based on its close collaboration with a citizen initiative called Hammarby Sjöstad 2.0 around the mission to create a climate-neutral city district by 2027. The founder of Hammarby Sjöstad 2.0 is ElectriCITY, a (civic society NGO and) membership association which operates a number of energy initiatives in the area since 2012, primarily by targeting the n

Early and correct diagnosis of inflammatory rheumatic diseases (IRD) poses a clinical challenge due to the multifaceted nature of symptoms, which also may change over time. The aim of this study was to perform protein expression profiling of four systemic IRDs, systemic lupus erythematosus (SLE), ANCA-associated systemic vasculitis (SV), rheumatoid arthritis (RA), and Sjögren's syndrome (SS), and

The study of airborne bacteria relies on a sampling strategy that preserves their integrity and in situ physiological state, e.g. viability, cultivability, metabolic activity, and ice-nucleation activity. Because ambient air harbors low concentrations of bacteria, an effective bioaerosol sampler should have a high sampling efficiency and a high airflow. We characterize a high-flow-rate impinger wi

BACKGROUND AND OBJECTIVES: Tau accumulation pattern shows substantial variability in Alzheimer disease (AD), and 4 distinct spatiotemporal trajectories were distinguished using a data-driven approach called the Subtype and Stage Inference (SuStaIn). A visual method to validate and identify these subtypes is a requirement for their clinical translation. Our study aimed to provide a standardized top

Background: Obstetrical anal sphincter injuries are complications of vaginal birth that have the potential to cause substantial maternal morbidity. Predicting these injuries might help to improve maternal care as well as antenatal counseling and patient education. Previous attempts to create prediction models have in many cases involved variables only known postpartum, which limits their use in an

Purpose: Multiple vendors are currently offering artificial intelligence (AI) computer-aided systems for triage detection, diagnosis, and risk prediction of breast cancer based on screening mammography. There is an imminent need to establish validation platforms that enable fair and transparent testing of these systems against external data. Approach: We developed validation of artificial intellig

Precision medicine is part of the logical evolution of contemporary evidence-based medicine that seeks to reduce errors and optimize outcomes when making medical decisions and health recommendations. Diabetes affects hundreds of millions of people worldwide, many of whom will develop life-threatening complications and die prematurely. Precision medicine can potentially address this enormous proble

The accumulation of senescent cells drives inflammaging and increases morbidity of chronic inflammatory lung diseases. Immune responses are built upon dynamic changes in cell metabolism that supply energy and substrates for cell proliferation, differentiation, and activation. Metabolic changes imposed by environmental stress and inflammation on immune cells and tissue microenvironment are thus chi

Objective: To identify and quantify potential risk factors for osteoarthritis (OA) following traumatic knee injury. Design: Systematic review and meta-analyses that estimated the odds of OA for individual risk factors assessed in more than four studies using random-effects models. Remaining risk factors underwent semiquantitative synthesis. The modified GRADE (Grading of Recommendations Assessment

Traffic safety is a complex and important research area with the potential to save many lives in the future. Two key problems are considered, namely the gathering of reliable and detailed road user statistics which can be used to estimate the safety of a traffic environment and taking advantage of surveillance infrastructure to guide and assist vehicles in real time, primarily autonomous ones. A c

BACKGROUND: This paper investigates the impact of a non-mandatory and age-specific social distancing recommendation on isolation behaviors and disease outcomes in Sweden during the first wave of the COVID-19 pandemic (March to July, 2020). The policy stated that people aged 70 years or older should avoid crowded places and contact with people outside the household.METHODS: We used a regression dis

Parallellt med det svenska energisystemets elektrifiering så sker även en snabb utveckling av AI-verktyg. Dessa redskap medför helt nya möjligheter att ta olika former av datadrivna beslut vilket kan revolutionera delar av energisektorn. Samtidigt så är de inte helt oproblematiska, utan deras effekter måste analyseras grundligt för att de ska kunna leva upp till sin potential, samtidigt som effektThe Swedish energy system is currently in a transition, aiming for carbon neutrality. At the same time, AI technology is developing in a fast manner. These tools come with entirely new possibilities to make data driven decisions, which can revolutionize parts of the energy sector. At the same time, they come with their own challenges. Therefore, their effects must be thoroughly examined if they ar

The online-coupled 3-D chemistry transport model COSMO-MUSCAT was enhanced by a detailed description of aqueous phase chemical processes. The aqueous phase chemistry is represented by the detailed chemical mechanism CAPRAM 3.0i reduced (C3.0RED). In addition, the deposition schemes were improved in order to account for the deposition of matter incorporated in cloud droplets of ground layer clouds

Background The Global Burden of Disease Study 2013 (GBD 2013) aims to bring together all available epidemiological data using a coherent measurement framework, standardised estimation methods, and transparent data sources to enable comparisons of health loss over time and across causes, age-sex groups, and countries. The GBD can be used to generate summary measures such as disability-adjusted life

As a solution to solving energy consumption and environment problems, photovoltaics has become one type of the promising devices to convert solar energy into electricity directly. In some special areas like in space, a kind of photovoltaics with lightweight and reliable properties is needed to supply power. Therefore, photovoltaics based on the group III-V semiconductor nanowires has been emerged