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Predictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity
  • Author : Ranadip Pal
  • Publsiher : Academic Press
  • Release : 15 November 2016
  • ISBN : 012805431X
  • Pages : 354 pages
  • Rating : 4/5 from 21 ratings
GET THIS BOOKPredictive Modeling of Drug Sensitivity

Summary:
Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios. This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to drug sensitivity modeling. The reader will learn a broad range of mathematical and computational techniques applied to the modeling of drug sensitivity, biological concepts, and measurement techniques crucial to drug sensitivity modeling, how to design a combination of drugs under different constraints, and the applications of drug sensitivity prediction methodologies. Applies mathematical and computational approaches to biological problems Covers all aspects of drug sensitivity modeling, starting from initial data generation to final experimental validation Includes the latest results on drug sensitivity modeling that is based on updated research findings Provides information on existing data and software resources for applying the mathematical and computational tools available


Predictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity
  • Author : Ranadip Pal
  • Publisher : Academic Press
  • Release : 15 November 2016
GET THIS BOOKPredictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity gives an overview of drug sensitivity modeling for personalized medicine that includes data characterizations, modeling techniques, applications, and research challenges. It covers the major mathematical techniques used for modeling drug sensitivity, and includes the requisite biological knowledge to guide a user to apply the mathematical tools in different biological scenarios. This book is an ideal reference for computer scientists, engineers, computational biologists, and mathematicians who want to understand and apply multiple approaches and methods to


Predictive Modeling of Pharmaceutical Unit Operations

Predictive Modeling of Pharmaceutical Unit Operations
  • Author : Preetanshu Pandey,Rahul Bharadwaj
  • Publisher : Woodhead Publishing
  • Release : 26 September 2016
GET THIS BOOKPredictive Modeling of Pharmaceutical Unit Operations

The use of modeling and simulation tools is rapidly gaining prominence in the pharmaceutical industry covering a wide range of applications. This book focuses on modeling and simulation tools as they pertain to drug product manufacturing processes, although similar principles and tools may apply to many other areas. Modeling tools can improve fundamental process understanding and provide valuable insights into the manufacturing processes, which can result in significant process improvements and cost savings. With FDA mandating the use of Quality


Assessment of Modeling Strategies for Drug Response Prediction in Cell Lines and Xenografts

Assessment of Modeling Strategies for Drug Response Prediction in Cell Lines and Xenografts
  • Author : Roman Kurilov
  • Publisher : Anonim
  • Release : 01 January 1970
GET THIS BOOKAssessment of Modeling Strategies for Drug Response Prediction in Cell Lines and Xenografts

Abstract: Despite significant progress in cancer research, effective cancer treatment is still a challenge. Cancer treatment approaches are shifting from standard cytotoxic chemotherapy regimens towards a precision oncology paradigm, where a choice of treatment is personalized, i.e. based on a tumor's molecular features. In order to match tumor molecular features with therapeutics we need to identify biomarkers of response and build predictive models. Recent growth of large-scale pharmacogenomics resources which combine drug sensitivity and multi-omics information on a large


Biomarkers in Drug Discovery and Development

Biomarkers in Drug Discovery and Development
  • Author : Ramin Rahbari,Jonathan Van Niewaal,Michael R. Bleavins
  • Publisher : John Wiley & Sons
  • Release : 28 February 2020
GET THIS BOOKBiomarkers in Drug Discovery and Development

This book continues the legacy of a well-established reference within the pharmaceutical industry – providing perspective, covering recent developments in technologies that have enabled the expanded use of biomarkers, and discussing biomarker characterization and validation and applications throughout drug discovery and development. • Explains where proper use of biomarkers can substantively impact drug development timelines and costs, enable selection of better compounds and reduce late stage attrition, and facilitate personalized medicine • Helps readers get a better understanding of biomarkers and how to



Healthcare Risk Adjustment and Predictive Modeling

Healthcare Risk Adjustment and Predictive Modeling
  • Author : Ian G. Duncan
  • Publisher : ACTEX Publications
  • Release : 02 March 2021
GET THIS BOOKHealthcare Risk Adjustment and Predictive Modeling

This text is listed on the Course of Reading for SOA Fellowship study in the Group & Health specialty track. Healthcare Risk Adjustment and Predictive Modeling provides a comprehensive guide to healthcare actuaries and other professionals interested in healthcare data analytics, risk adjustment and predictive modeling. The book first introduces the topic with discussions of health risk, available data, clinical identification algorithms for diagnostic grouping and the use of grouper models. The second part of the book presents the concept of


Cancer Bioinformatics

Cancer Bioinformatics
  • Author : Alexander Krasnitz
  • Publisher : Humana
  • Release : 10 December 2019
GET THIS BOOKCancer Bioinformatics

This volume covers a wide variety of state of the art cancer-related methods and tools for data analysis and interpretation. Chapters were designed to attract a broad readership, ranging from active researchers in computational biology and bioinformatics developers, clinical oncologists, and anti-cancer drug developers wishing to rationalize their search for new compounds. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, installation instructions for computational tools discussed, explanations of the input


Applied Predictive Modeling

Applied Predictive Modeling
  • Author : Max Kuhn,Kjell Johnson
  • Publisher : Springer Science & Business Media
  • Release : 17 May 2013
GET THIS BOOKApplied Predictive Modeling

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocessing, data splitting and foundations of model tuning. The text then provides intuitive explanations of numerous common and modern regression and classification techniques, always with an emphasis on illustrating and solving real data problems. The text illustrates all parts of the modeling process through many hands-on, real-life examples, and every chapter contains extensive R code for each step of the process. This multi-purpose text




Applied Predictive Analytics

Applied Predictive Analytics
  • Author : Dean Abbott
  • Publisher : John Wiley & Sons
  • Release : 31 March 2014
GET THIS BOOKApplied Predictive Analytics

Learn the art and science of predictive analytics — techniques that get results Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the principles and best practices that govern the art of predictive analytics. It clearly explains the theory behind predictive analytics, teaches the methods, principles, and techniques for conducting predictive analytics projects, and offers tips and tricks



Accelerated Predictive Stability (APS)

Accelerated Predictive Stability (APS)
  • Author : Fenghe Qiu,Garry Scrivens
  • Publisher : Academic Press
  • Release : 28 June 2018
GET THIS BOOKAccelerated Predictive Stability (APS)

Accelerated Predictive Stability (APS): Fundamentals and Pharmaceutical Industry Practices provides coverage of both the fundamental principles and pharmaceutical industry applications of the APS approach. Fundamental chapters explain the scientific basis of the APS approach, while case study chapters from many innovative pharmaceutical companies provide a thorough overview of the current status of APS applications in the pharmaceutical industry. In addition, up-to-date experiences in utilizing APS data for regulatory submissions in many regions and countries highlight the potential of APS in



Bladder Cancer: New Insights for the Healthcare Professional: 2011 Edition

Bladder Cancer: New Insights for the Healthcare Professional: 2011 Edition
  • Author : Anonim
  • Publisher : ScholarlyEditions
  • Release : 09 January 2012
GET THIS BOOKBladder Cancer: New Insights for the Healthcare Professional: 2011 Edition

Bladder Cancer: New Insights for the Healthcare Professional: 2011 Edition is a ScholarlyEditions™ eBook that delivers timely, authoritative, and comprehensive information about Bladder Cancer. The editors have built Bladder Cancer: New Insights for the Healthcare Professional: 2011 Edition on the vast information databases of ScholarlyNews.™ You can expect the information about Bladder Cancer in this eBook to be deeper than what you can access anywhere else, as well as consistently reliable, authoritative, informed, and relevant. The content of Bladder Cancer: New Insights