000			01698cam a22003738i 4500
001			19351167
003			IIITD
005			20210319164305.0
008			161020s2017 flu b 001 0 eng
010			_a 2016047968
020			_a9781466551343
035			_a(DNLM)101694768
040			_aDNLM/DLC _cDLC _erda
042			_apcc
050	0	0	_aRC263
060	1	0	_aQZ 266
082	0	0	_a616.994 _223 _bCRI-I
100	1		_aCristini, Vittorio
245	1	3	_aAn introduction to physical oncology : _bhow mechanistic mathematical modeling can improve cancer therapy outcomes _cby Vittorio Cristini, Eugene J. Koay and Zhihui Wang.
260			_aLondon : _bCRC Press, _c©2017
263			_a1703
300			_axxxix, 163 p. ; _c26 cm.
490			_aChapman & Hall/CRC mathematical and computational biology series
504			_aIncludes bibliographical references and index.
505	0		_aWhat should be modeled in cancer : milestones for physical models -- Developing more successful cancer treatments with physical oncology -- Mathematical pathology -- Mathematical modeling of drug response -- Prediction of chemotherapy outcome in patients -- Clinical management of pancreatic cancer -- Application of cancer physics in the clinic -- Tumor morphological behavior and treatment outcome -- Mechanistic model of tumor response to immunotherapy -- Perspectives on physical oncology and future directions.
650	1	2	_aNeoplasms _xtherapy
650	1	2	_aModels, Theoretical
650	2	2	_aTreatment Outcome
650	2	2	_aMedical Oncology _xmethods
700	1		_aKoay, Eugene J.
700	1		_aWang, Zhihui
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBK
999			_c156348 _d156348