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The demographic shift of the population towards an increase in the number of elderly citizens, together with the sedentary lifestyle we are adopting, is reflected in the increasingly debilitated physical health of the population. The resulting physical impairments require rehabilitation therapies which may be assisted by the use of wearable sensors or body area network sensors (BANs). The use of novel technology for medical therapies can also contribute to reducing the costs in healthcare systems and decrease patient overflow in medical centers. Sensors are the primary enablers of any wearable medical device, with a central role in eHealth architectures. The accuracy of the acquired data depends on the sensors; hence, when considering wearable and BAN sensing integration, they must be proven to be accurate and reliable solutions. This book is a collection of works focusing on the current state-of-the-art of BANs and wearable sensing devices for physical rehabilitation of impaired or debilitated citizens. The manuscripts that compose this book report on the advances in the research related to different sensing technologies (optical or electronic) and body area network sensors (BANs), their design and implementation, advanced signal processing techniques, and the application of these technologies in areas such as physical rehabilitation, robotics, medical diagnostics, and therapy.

fog computing --- cloud computing --- e-health --- healthcare --- Internet of Things --- paddle stroke analysis --- motion reconstruction --- inertial sensor --- data fusion --- body sensor network --- gait analysis --- gyroscope --- information fusion --- hidden Markov model --- human activity recognition --- out of distribution --- anomaly detection --- open set classification --- physiotherapy --- inertial sensors --- smart watch --- rehabilitation --- machine learning --- COPD --- wearable sensors --- SenseWear Armband --- physical activity --- weekday-to-weekend --- energy expenditure --- stress --- wearable device --- heart rate variability --- electrocardiogram --- scapula neuromuscular activity and control --- rotator cuff related pain syndrome --- anterior shoulder instability --- scapular dyskinesis --- electromyographic biofeedback --- cardio-respiratory monitoring --- wearable system --- smart textile --- IMU --- respiratory rate --- heart rate --- accelerometers --- Bland–Altman plots --- gait speed --- interclass correlation coefficient --- low frequency extension filter --- Stepwatch --- smart walker --- obstacle detection --- aging --- n/a --- Bland-Altman plots

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In recent years, artificial intelligence has increasingly been playing an essential role in diverse areas in medicine, assisting clinicians in patient management. In nephrology and transplantation, artificial intelligence can be utilized to enhance clinical care, such as through hemodialysis prescriptions and the follow-up of kidney transplant patients. Furthermore, there are rapidly expanding applications and validations of comprehensive, computerized medical records and related databases, including national registries, health insurance, and drug prescriptions. For this Special Issue, we made a call to action to stimulate researchers and clinicians to submit their invaluable works and present, here, a collection of articles covering original clinical research (single- or multi-center), database studies from registries, meta-analyses, and artificial intelligence research in nephrology including acute kidney injury, electrolytes and acid–base, chronic kidney disease, glomerular disease, dialysis, and transplantation that will provide additional knowledge and skills in the field of nephrology and transplantation toward improving patient outcomes.

tacrolimus --- C/D ratio --- tacrolimus metabolism --- everolimus --- conversion --- kidney transplantation --- gut microbiome --- renal transplant recipient --- diarrhea --- immunosuppressive medication --- gut microbiota --- 16S rRNA sequencing --- butyrate-producing bacteria --- Proteobacteria --- torquetenovirus --- immunosuppression --- transplantation --- immunosuppressed host --- outcome --- renal transplantation --- Goodpasture syndrome --- anti-GBM disease --- epidemiology --- hospitalization --- outcomes --- acute kidney injury --- risk prediction --- artificial intelligence --- patent ductus arteriosus --- conservative management --- blood pressure --- eradication --- interferon-free regimen --- hepatitis C infection --- kidney transplant --- allograft steatosis --- lipopeliosis --- transplant numbers --- live donors --- public awareness --- Google TrendsTM --- machine learning --- big data --- nephrology --- chronic kidney disease --- NLR --- PLR --- RPGN --- predictive value --- hemodialysis --- withdrawal --- cellular crescent --- global sclerosis --- procurement kidney biopsy --- glomerulosclerosis --- minimally-invasive donor nephrectomy --- robot-assisted surgery --- laparoscopic surgery --- organ donation --- living kidney donation --- MeltDose® --- LCPT --- renal function --- liver transplantation --- metabolism --- erythropoietin --- fibroblast growth factor 23 --- death --- weekend effect --- in-hospital mortality --- comorbidity --- dialysis --- elderly --- klotho --- α-Klotho --- FGF-23 --- kidney donor --- Nephrology --- CKD-MBD --- CKD-Mineral and Bone Disorder --- deceased donor --- Eurotransplant Senior Program --- risk stratification --- intensive care --- kidney transplant recipients --- long-term outcomes --- graft failure --- cardiovascular mortality --- lifestyle --- inflammation --- vascular calcification --- bone mineral density --- dual-energy X-ray absorptiometry --- living donation --- repeated kidney transplantation --- graft survival --- prolonged ischaemic time --- patient survival --- pre-emptive transplantation --- metabolomics --- urine --- acute rejection --- allograft --- cystatin C --- hyperfiltration --- kidney injury molecule (KIM)-1 --- tubular damage --- genetic polymorphisms --- (cardiac) surgery --- inflammatory cytokines --- clinical studies --- chronic kidney disease (CKD) --- no known kidney disease (NKD) --- ICD-10 billing codes --- phenotyping --- electronic health record (EHR) --- estimated glomerular filtration rate (eGFR) --- machine learning (ML) --- generalized linear model network (GLMnet) --- random forest (RF) --- artificial neural network (ANN), clinical natural language processing (clinical NLP) --- discharge summaries --- laboratory values --- area under the receiver operating characteristic (AUROC) --- area under the precision-recall curve (AUCPR) --- fibrosis --- extracellular matrix --- collagen type VI --- living-donor kidney transplantation --- ethnic disparity