LEADER 03919nam 22005895 450 001 9910254037503321 005 20200706162737.0 010 $a3-319-45651-2 024 7 $a10.1007/978-3-319-45651-5 035 $a(CKB)3710000000981048 035 $a(DE-He213)978-3-319-45651-5 035 $a(MiAaPQ)EBC6301124 035 $a(MiAaPQ)EBC5610872 035 $a(Au-PeEL)EBL5610872 035 $a(OCoLC)966242966 035 $a(PPN)197136788 035 $a(EXLCZ)993710000000981048 100 $a20161123d2016 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAnaerobes in Biotechnology /$fedited by Rajni Hatti-Kaul, Gashaw Mamo, Bo Mattiasson 205 $a1st ed. 2016. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2016. 215 $a1 online resource (VIII, 472 p.) 225 1 $aAdvances in Biochemical Engineering/Biotechnology,$x0724-6145 ;$v156 300 $aIncludes index. 311 $a3-319-45649-0 327 $aAnaerobes in Industrial and Environmental Biotechnology -- Isolation and Cultivation of Anaerobes -- Glycolysis as the Central Core of Fermentation -- Comparative Genomics of Core Metabolism Genes of Cellulolytic and Noncellulolytic Clostridium species -- Enzyme Systems of Anaerobes for Biomass Conversion -- Biotechnology of Anoxygenic Phototrophic Bacteria -- Biological Processes for Hydrogen Production -- Biogas Production ? Microbiology and Technology -- Life in Anoxic Sub-seafloor Environment: Linking Microbial Metabolism and Mega Reserves of Methane Hydrate -- Anaerobes in Bioelectrochemical Systems -- Low Carbon-Fuel and Chemical Production by Anaerobic Gas Fermentation -- Anaerobic Fermentation for Production of Carboxylic Acids as Bulk Chemicals from Renewable Biomass -- Development of Anaerobic High Rate Reactors, Focusing on Sludge Bed Technology -- Anaerobic Probiotics: The Key Microbes for Human Health.-Anaerobes as Sources of Bioactive Compounds and Health Promoting Tools. . 330 $aThis book review series presents current trends in modern biotechnology. The aim is to cover all aspects of this interdisciplinary technology where knowledge, methods and expertise are required from chemistry, biochemistry, microbiology, genetics, chemical engineering and computer science. Volumes are organized topically and provide a comprehensive discussion of developments in the respective field over the past 3-5 years. The series also discusses new discoveries and applications. Special volumes are dedicated to selected topics which focus on new biotechnological products and new processes for their synthesis and purification. In general, special volumes are edited by well-known guest editors. The series editor and publisher will however always be pleased to receive suggestions and supplementary information. 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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. 606 $aMedicine and Nursing$2bicssc 610 $a(cardiac) surgery 610 $a16S rRNA sequencing 610 $aacute kidney injury 610 $aacute rejection 610 $aallograft 610 $aallograft steatosis 610 $aanti-GBM disease 610 $aarea under the precision-recall curve (AUCPR) 610 $aarea under the receiver operating characteristic (AUROC) 610 $aartificial intelligence 610 $aartificial neural network (ANN), clinical natural language processing (clinical NLP) 610 $abig data 610 $ablood pressure 610 $abone mineral density 610 $abutyrate-producing bacteria 610 $aC/D ratio 610 $acardiovascular mortality 610 $acellular crescent 610 $achronic kidney disease 610 $achronic kidney disease (CKD) 610 $aCKD-MBD 610 $aCKD-Mineral and Bone Disorder 610 $aclinical studies 610 $acollagen type VI 610 $acomorbidity 610 $aconservative management 610 $aconversion 610 $acystatin C 610 $adeath 610 $adeceased donor 610 $adialysis 610 $adiarrhea 610 $adischarge summaries 610 $adual-energy X-ray absorptiometry 610 $aelderly 610 $aelectronic health record (EHR) 610 $aepidemiology 610 $aeradication 610 $aerythropoietin 610 $aestimated glomerular filtration rate (eGFR) 610 $aethnic disparity 610 $aEurotransplant Senior Program 610 $aeverolimus 610 $aextracellular matrix 610 $aFGF-23 610 $afibroblast growth factor 23 610 $afibrosis 610 $ageneralized linear model network (GLMnet) 610 $agenetic polymorphisms 610 $aglobal sclerosis 610 $aglomerulosclerosis 610 $aGoodpasture syndrome 610 $aGoogle TrendsTM 610 $agraft failure 610 $agraft survival 610 $agut microbiome 610 $agut microbiota 610 $ahemodialysis 610 $ahepatitis C infection 610 $ahospitalization 610 $ahyperfiltration 610 $aICD-10 billing codes 610 $aimmunosuppressed host 610 $aimmunosuppression 610 $aimmunosuppressive medication 610 $ain-hospital mortality 610 $ainflammation 610 $ainflammatory cytokines 610 $aintensive care 610 $ainterferon-free regimen 610 $akidney donor 610 $akidney injury molecule (KIM)-1 610 $akidney transplant 610 $akidney transplant recipients 610 $akidney transplantation 610 $aklotho 610 $alaboratory values 610 $alaparoscopic surgery 610 $aLCPT 610 $alifestyle 610 $alipopeliosis 610 $alive donors 610 $aliver transplantation 610 $aliving donation 610 $aliving kidney donation 610 $aliving-donor kidney transplantation 610 $along-term outcomes 610 $amachine learning 610 $amachine learning (ML) 610 $aMeltDoseŽ 610 $ametabolism 610 $ametabolomics 610 $aminimally-invasive donor nephrectomy 610 $anephrology 610 $aNephrology 610 $aNLR 610 $ano known kidney disease (NKD) 610 $aorgan donation 610 $aoutcome 610 $aoutcomes 610 $apatent ductus arteriosus 610 $apatient survival 610 $aphenotyping 610 $aPLR 610 $apre-emptive transplantation 610 $apredictive value 610 $aprocurement kidney biopsy 610 $aprolonged ischaemic time 610 $aProteobacteria 610 $apublic awareness 610 $arandom forest (RF) 610 $arenal function 610 $arenal transplant recipient 610 $arenal transplantation 610 $arepeated kidney transplantation 610 $arisk prediction 610 $arisk stratification 610 $arobot-assisted surgery 610 $aRPGN 610 $atacrolimus 610 $atacrolimus metabolism 610 $atorquetenovirus 610 $atransplant numbers 610 $atransplantation 610 $atubular damage 610 $aurine 610 $avascular calcification 610 $aweekend effect 610 $awithdrawal 610 $a?-Klotho 615 7$aMedicine and Nursing 700 $aCheungpasitporn$b Wisit$4edt$01277893 702 $aThongprayoon$b Charat$4edt 702 $aKaewput$b Wisit$4edt 702 $aCheungpasitporn$b Wisit$4oth 702 $aThongprayoon$b Charat$4oth 702 $aKaewput$b Wisit$4oth 906 $aBOOK 912 $a9910557367503321 996 $aClinical Studies, Big Data, and Artificial Intelligence in Nephrology and Transplantation$93026967 997 $aUNINA