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200 10$aAutomating data-driven modelling of dynamical systems $ean evolutionary computation approach /$fDhruv Khandelwal
210  1$aCham, Switzerland :$cSpringer,$d[2022]
210  4$dİ2022
215   $a1 online resource (250 pages) $cillustrations (some color)
225 1 $aSpringer Theses.
300   $a"Doctoral thesis accepted by Eindhoven University of Technology, Eindhoven, The Netherlands."
311 08$aPrint version: Khandelwal, Dhruv Automating Data-Driven Modelling of Dynamical Systems Cham : Springer International Publishing AG,c2022 9783030903428 
327   $aIntroduction The State-of-the-art Preliminaries - Evolutionary Algorithms Tree Adjoining Grammar Performance measures
410  0$aSpringer Theses.
606   $aDynamics$xMathematical models
606   $aAutomatic control
615  0$aDynamics$xMathematical models.
615  0$aAutomatic control.
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200 10$aGuide to Targeted Therapies: Treatment Resistance in Lung Cancer /$fby Federico Cappuzzo
205   $a1st ed. 2015.
210  1$aCham :$cSpringer International Publishing :$cImprint: Adis,$d2015.
215   $a1 online resource (71 p.)
300   $aDescription based upon print version of record.
311   $a3-319-20740-7 
320   $aIncludes bibliographical references.
327   $aIntroduction -- Therapy options for advanced NSCLC -- Resistance to EGFR TKIs -- Overcoming EGFR-TKI resistance -- Resistance to crizotinib and therapeutic options -- Resistance to angiogenic drugs and therapeutics options.- Conclusions.
330   $aThis text is a concise and up-to-date review, which discusses the background, development and mechanisms of resistance, testing methods and technology, current and emerging therapies and resources that clinicians can provide to their patients. Busy healthcare professionals who want a quick review of treatment resistance in lung cancer as well as a summary of current therapies will benefit from this succinct guide.
606   $aOncology
606   $aOncology$3https://scigraph.springernature.com/ontologies/product-market-codes/H33160
615  0$aOncology.
615 14$aOncology.
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