000 04118nam a22005895i 4500
001 978-3-030-91241-3
003 DE-He213
005 20240730180953.0
007 cr nn 008mamaa
008 211211s2021 sz | s |||| 0|eng d
020 _a9783030912413
_9978-3-030-91241-3
024 7 _a10.1007/978-3-030-91241-3
_2doi
050 4 _aTA1634
072 7 _aUYQV
_2bicssc
072 7 _aCOM016000
_2bisacsh
072 7 _aUYQV
_2thema
082 0 4 _a006.37
_223
245 1 0 _aMathematical and Computational Oncology
_h[electronic resource] :
_bThird International Symposium, ISMCO 2021, Virtual Event, October 11-13, 2021, Proceedings /
_cedited by George Bebis, Terry Gaasterland, Mamoru Kato, Mohammad Kohandel, Kathleen Wilkie.
250 _a1st ed. 2021.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2021.
300 _aXXI, 79 p. 33 illus., 31 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v13060
505 0 _aStatistical and Machine Learning Methods for Cancer Research Image Classification of Skin Cancer: Using Deep Learning as a Tool for Skin Self-Examinations -- Predictive Signatures for Lung Adenocarcinoma Prognostic Trajectory by Omics Data Integration and Ensemble Learning -- The Role of Hydrophobicity in Peptide-MHC Binding -- Spatio-temporal tumor modeling and simulation Simulating cytotoxic T-lymphocyte & cancer cells interactions : An LSTM-based approach to surrogate an agent-based model -- General cancer computational biology Strategies to reduce long-term drug resistance by considering effects of differential selective treatments -- Mathematical Modeling for Cancer Research Improved Geometric Configuration for the Bladder Cancer BCG-based Immunotherapy Treatment Model -- Computational methods for anticancer drug development Run for your life - an integrated virtual tissue platform for incorporating exercise oncology into immunotherapy.
520 _aThis book constitutes the refereed proceedings of the Third International Symposium on Mathematical and Computational Oncology, ISMCO 2021, held in October 2021. Due to COVID-19 pandemic the conference was held virtually. The 3 full papers and 4 short papers presented were carefully reviewed and selected from 20 submissions. The papers are organized in topical sections named: statistical and machine learning methods for cancer research; mathematical modeling for cancer research; spatio-temporal tumor modeling and simulation; general cancer computational biology; mathematical modeling for cancer research; computational methods for anticancer drug development.
650 0 _aComputer vision.
_9122763
650 0 _aComputer engineering.
_910164
650 0 _aComputer networks .
_931572
650 1 4 _aComputer Vision.
_9122764
650 2 4 _aComputer Engineering and Networks.
_9122765
650 2 4 _aComputer Engineering and Networks.
_9122765
700 1 _aBebis, George.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9122766
700 1 _aGaasterland, Terry.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9122767
700 1 _aKato, Mamoru.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9122768
700 1 _aKohandel, Mohammad.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9122769
700 1 _aWilkie, Kathleen.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9122770
710 2 _aSpringerLink (Online service)
_9122771
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030912406
776 0 8 _iPrinted edition:
_z9783030912420
830 0 _aLecture Notes in Bioinformatics,
_x2366-6331 ;
_v13060
_9122772
856 4 0 _uhttps://doi.org/10.1007/978-3-030-91241-3
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c90615
_d90615