LEADER 01357nam 2200349 450 001 9910716850403321 005 20210930104523.0 035 $a(CKB)5470000002525682 035 $a(OCoLC)1269630005 035 $a(OCoLC)995470000002525682 035 $a(EXLCZ)995470000002525682 100 $a20210930d1998 ua 0 101 0 $aeng 135 $aurmn||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aWater quality in the Potomac River basin, Maryland, Pennsylvania, Virginia, West Virginia, and the District of Columbia, 1992-96 /$fby Scott W. Ator [and six others] 210 1$a[Reston, Virginia] :$cU.S. Department of the Interior, U.S. Geological Survey,$d1998. 215 $a1 online resource (38 pages) $ccolor illustrations, color maps 225 1 $aU.S. Geological Survey circular ;$v1166 320 $aIncludes bibliographical references (pages 34-36). 606 $aWater quality$zPotomac River Watershed 615 0$aWater quality 700 $aAtor$b Scott W.$01386575 712 02$aGeological Survey (U.S.), 801 0$bGPO 801 1$bGPO 906 $aBOOK 912 $a9910716850403321 996 $aWater quality in the Potomac River basin, Maryland, Pennsylvania, Virginia, West Virginia, and the District of Columbia, 1992-96$93462831 997 $aUNINA LEADER 02520nam 22004573 450 001 9910985677503321 005 20230402090344.0 010 $a9781527500891$b(electronic bk.) 010 $z9781443895200 035 $a(MiAaPQ)EBC30461611 035 $a(Au-PeEL)EBL30461611 035 $a(CKB)26356785200041 035 $a(Exl-AI)30461611 035 $a(OCoLC)1375296900 035 $a(EXLCZ)9926356785200041 100 $a20230402d2023 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aArtificial Intelligence Multiomics in Precision Oncology 205 $a1st ed. 210 1$aNewcastle-upon-Tyne :$cCambridge Scholars Publishing,$d2023. 210 4$dİ2023. 215 $a1 online resource (517 pages) 311 08$aPrint version: Srivastava, Ruby Artificial Intelligence Multiomics in Precision Oncology Newcastle-upon-Tyne : Cambridge Scholars Publishing,c2023 9781443895200 327 $aIntro -- Dedication -- Table of Contents -- Preface -- Acknowledgements -- Chapter 1 -- Chapter 2 -- Chapter 3 -- Chapter 4 -- Chapter 5 -- Chapter 6 -- Chapter 7 -- Chapter 8 -- Chapter 9 -- Chapter 10 -- Chapter 11 -- Chapter 12 -- Chapter 13. 330 $aAdvances in next-generation technology (NGS) coupled with a deep understanding of cancer biology have promoted the rational design of target therapy towards precision oncology. Artificial Intelligence (AI)-integrated machine learning techniques are also increasingly used today to tackle the challenges of scalability and high dimensionality data and to transform multiomics data into clinically actionable knowledge. AI tools are used to support clinical decision making and improve clinical efficiency, while delivering safe and high value care. This book provides comprehensive analysis of such techniques and advancements of AI-based clinical cancer research in the improvement of cancer prognosis and diagnosis, resulting in enhanced prediction rates and survival of cancer patients. 606 $aArtificial intelligence$7Generated by AI 606 $aPrecision medicine$7Generated by AI 615 0$aArtificial intelligence 615 0$aPrecision medicine 676 $a616.9940028563 700 $aSrivastava$b Ruby$01792915 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 912 $a9910985677503321 996 $aArtificial Intelligence Multiomics in Precision Oncology$94332065 997 $aUNINA