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Predictive Modeling Of Drug Sensitivity

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Predictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity Book
Author : Ranadip Pal
Publisher : Unknown
Release : 2017
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

Download Predictive Modeling of Drug Sensitivity book written by Ranadip Pal, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Predictive Modeling of Drug Sensitivity

Predictive Modeling of Drug Sensitivity Book
Author : Ranadip Pal
Publisher : Academic Press
Release : 2016-11-15
ISBN : 012805431X
Language : En, Es, Fr & De

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Book Description :

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

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 Book
Author : Roman Kurilov
Publisher : Unknown
Release : 2019*
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

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 number of samples provides necessary data for biomarker identification and drug response modelling. However, although many efforts of using this information for drug response prediction have been made, our ability to accurately predict drug response using genetic data remains limited. In this work we used pharmacogenomics data from the largest publicly available studies in order to systematically assess various aspects of the drug response model-building process with the ultimate goal of improving prediction accuracy. We applied several machine learning methods (regularized regression, support vector machines, random forest) for predicting response to a number of drugs. We found that while accuracy of response prediction varies across drugs (in most of the cases R2 values vary between 0.1 and 0.3), different machine learning algorithms applied for the the same drug have similar prediction performance. Experiments with a range of different training sets for the same drug showed that predictive power of a model depends on the type of molecular data, the selected drug response metric, and the size of the training set. It depends less on number of features selected for modelling and on class imbalance in training set. We also implemented and tested two methods for improving consistency for pharmacogenomics data coming from different datasets. We tested our ability to correctly predict response in xenografts and patients using models trained on cell lines. Only in a fraction of the tested cases we managed to get reasonably accurate predictions, particularly in case of response to erlotinib in the NSCLC xenograft cohort, and in cases of responses to erlotinib and docetaxel in the NSCLC and BRCA patient cohorts respectively. This work also includes two applied pharmacogenomics analyses. The first is an analysis of a drug-sensitivity screen performed on a panel of Burkitt cell lines. This combines unsupervised data exploration with supervised modelling. The second is an analysis of drug-sensitivity data for the DKFZ-608 compound and the generation of the corresponding response prediction model. In summary, we applied machine learning techniques to available high-throughput pharmacogenomics data to study the determinants of accurate drug response prediction. Our results can help to draft guidelines for building accurate models for personalized drug response prediction and therefore contribute to advancing of precision oncology.

Predictive Modeling of Pharmaceutical Unit Operations

Predictive Modeling of Pharmaceutical Unit Operations Book
Author : Preetanshu Pandey,Rahul Bharadwaj
Publisher : Woodhead Publishing
Release : 2016-09-26
ISBN : 0081001800
Language : En, Es, Fr & De

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Book Description :

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 by Design (QbD) principles during manufacturing, reliable modeling techniques can help to alleviate the costs associated with such efforts, and be used to create in silico formulation and process design space. This book is geared toward detailing modeling techniques that are utilized for the various unit operations during drug product manufacturing. By way of examples that include case studies, various modeling principles are explained for the nonexpert end users. A discussion on the role of modeling in quality risk management for manufacturing and application of modeling for continuous manufacturing and biologics is also included. Explains the commonly used modeling and simulation tools Details the modeling of various unit operations commonly utilized in solid dosage drug product manufacturing Practical examples of the application of modeling tools through case studies Discussion of modeling techniques used for a risk-based approach to regulatory filings Explores the usage of modeling in upcoming areas such as continuous manufacturing and biologics manufacturingBullet points

Cancer Bioinformatics

Cancer Bioinformatics Book
Author : Alexander Krasnitz
Publisher : Humana Press
Release : 2018-11-18
ISBN : 9781493988662
Language : En, Es, Fr & De

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Book Description :

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 and output formats, and illustrative examples of applications. Authoritative and cutting-edge, Cancer Bioinformatics: Methods and Protocols aims to support researchers performing computational analysis of cancer-related data.

Biomarkers in Drug Discovery and Development

Biomarkers in Drug Discovery and Development Book
Author : Ramin Rahbari,Jonathan Van Niewaal,Michael R. Bleavins
Publisher : John Wiley & Sons
Release : 2020-03-17
ISBN : 1119187508
Language : En, Es, Fr & De

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Book Description :

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 use them, for example which are accepted by regulators and which still non-validated and exploratory • Updates developments in genomic sequencing, and application of large data sets into pre-clinical and clinical testing; and adds new material on data mining, economics, and decision making, personal genetic tools, and wearable monitoring • Includes case studies of biomarkers that have helped and hindered decision making • Reviews of the first edition: “If you are interested in biomarkers, and it is difficult to imagine anyone reading this who wouldn't be, then this book is for you." (ISSX) and “…provides a good introduction for those new to the area, and yet it can also serve as a detailed reference manual for those practically involved in biomarker implementation.” (ChemMedChem)

Personalized Medicine

Personalized Medicine Book
Author : Bo-Juen Chen
Publisher : Unknown
Release : 2013
ISBN : 0987650XXX
Language : En, Es, Fr & De

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Book Description :

In order to account for this, I propose a method to associate contextual genomic features with drug sensitivity. The algorithm is based on information theory, Bayesian statistics, and transfer learning. The algorithm demonstrates the importance of context specificity in predictive modeling of cancer pharmacogenomics. The two complementary algorithms highlight the challenges faced in personalized medicine and the potential solutions. This thesis detailed the results and analysis that demonstrate the importance of causality and context specificity in predictive modeling of drug response, which will be crucial for us towards bringing personalized medicine in practice.

Integration of Multisource Heterogenous Omics Information in Cancer

Integration of Multisource Heterogenous Omics Information in Cancer Book
Author : Victor Jin,Junbai Wang,Binhua Tang
Publisher : Frontiers Media SA
Release : 2020-01-30
ISBN : 2889634485
Language : En, Es, Fr & De

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Book Description :

Multisource heterogenous omics data can provide unprecedented perspectives and insights into cancer studies, but also pose great analytical problems for researchers due to the vast amount of data produced. This Research Topic aims to provide a forum for sharing ideas, tools and results among researchers from various computational cancer biology fields such as genetic/epigenetic and genome-wide studies.

Target Discovery for Anticancer Therapy Facilitated by Artificial Intelligence

Target Discovery for Anticancer Therapy Facilitated by Artificial Intelligence Book
Author : Feng Zhu,Yu Zong Chen,Weiwei Xue
Publisher : Frontiers Media SA
Release : 2021-08-19
ISBN : 2889712001
Language : En, Es, Fr & De

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Book Description :

Download Target Discovery for Anticancer Therapy Facilitated by Artificial Intelligence book written by Feng Zhu,Yu Zong Chen,Weiwei Xue, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

AACR 2019 Proceedings Abstracts 2749 5314

AACR 2019 Proceedings  Abstracts 2749 5314 Book
Author : American Association for Cancer Research
Publisher : Coe Truman International, LLC
Release : 2019-03-08
ISBN : 0463372727
Language : En, Es, Fr & De

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Book Description :

American Association for Cancer Research 2019 Proceedings: Abstracts 1-2748 - Part B

Holland Frei Cancer Medicine 8

Holland Frei Cancer Medicine 8 Book
Author : Robert C. Bast Jr,James F. Holland
Publisher : PMPH-USA
Release : 2010
ISBN : 9781607950141
Language : En, Es, Fr & De

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Book Description :

Holland Frei Cancer Medicine serves as a quick reference to current information on an extensive list of cancers, including breast, lung, thyroid, colorectal, ovarian, prostate, and gastric cancer, to name but a few. Presented as an accessible pocket-sized handbook, the chapters are organized in an outline format, offering only the most essential information on the etiology, staging (including TNM staging) and treatment for each cancer type. Individual chapters are devoted to the molecular biology of cancer, cancer prevention, cancer screening, the mechanisms of chemotherapy, and diagnostic imaging in cancer. Additionally, each chapter lists all the major phase III clinical trials, and therefore, serves as an excellent reference of the major randomized controlled trials for each cancer reported to date. Specific chapters are also dedicated to the discussion of oncologic emergencies, pain and palliation, and prescription complications. At the conclusion of the book, a glossary of oncologic terms and chemotherapeutic drug programs, a table of common cancer incidences, and an overview of the mechanisms, common uses, and related toxicities of various anti-cancer agents are featured. In addition, performance status tables, mathematical formulas and a listing of common biomedical / cancer web sites are highlighted.

Lecture Notes in Computational Intelligence and Decision Making

Lecture Notes in Computational Intelligence and Decision Making Book
Author : Sergii Babichev,Volodymyr Lytvynenko
Publisher : Springer Nature
Release : 2021-07-22
ISBN : 3030820149
Language : En, Es, Fr & De

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Book Description :

This book is devoted to current problems of artificial and computational intelligence including decision-making systems. Collecting, analysis, and processing information are the current directions of modern computer science. Development of new modern information and computer technologies for data analysis and processing in various fields of data mining and machine learning creates the conditions for increasing effectiveness of the information processing by both the decrease of time and the increase of accuracy of the data processing. The book contains of 54 science papers which include the results of research concerning the current directions in the fields of data mining, machine learning, and decision making. The papers are divided in terms of their topic into three sections. The first section "Analysis and Modeling of Complex Systems and Processes" contains of 26 papers, and the second section "Theoretical and Applied Aspects of Decision-Making Systems" contains of 13 papers. There are 15 papers in the third section "Computational Intelligence and Inductive Modeling". The book is focused to scientists and developers in the fields of data mining, machine learning and decision-making systems.

Artificial Intelligence in Oncology Drug Discovery and Development

Artificial Intelligence in Oncology Drug Discovery and Development Book
Author : John Cassidy,Belle Taylor
Publisher : BoD – Books on Demand
Release : 2020-09-09
ISBN : 1789846897
Language : En, Es, Fr & De

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Book Description :

There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

Computational Intelligence Methods for Bioinformatics and Biostatistics

Computational Intelligence Methods for Bioinformatics and Biostatistics Book
Author : Paolo Cazzaniga,Daniela Besozzi,Ivan Merelli,Luca Manzoni
Publisher : Springer Nature
Release : 2020-12-09
ISBN : 3030630617
Language : En, Es, Fr & De

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Book Description :

This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.

Latest Research into Quality Control

Latest Research into Quality Control Book
Author : Isin Akyar
Publisher : BoD – Books on Demand
Release : 2012-12-12
ISBN : 9535108689
Language : En, Es, Fr & De

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Book Description :

Quality control has an emerging importance in every field of life. Quality control is a process that is used to guarantee a certain level of quality in a product or service. It might include whatever actions a business deems necessary to provide for the control and verification of certain characteristics of a product or service. With the improvement of technology everyday we meet new and complicated devices and methods in different fields. Quality control should be performed in all of those new techniques. In this book "Latest Research Into Quality Control" our aim was to collect information about quality control in many different fields. The aim of this book is to share useful and practical knowledge about quality control in several fields with the people who want to improve their knowledge.

Intelligent Computing Theories and Methodologies

Intelligent Computing Theories and Methodologies Book
Author : De-Shuang Huang,Kang-Hyun Jo,Abir Hussain
Publisher : Springer
Release : 2015-08-10
ISBN : 3319221868
Language : En, Es, Fr & De

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Book Description :

This two-volume set LNCS 9225 and LNCS 9226 constitutes - in conjunction with the volume LNAI 9227 - the refereed proceedings of the 11th International Conference on Intelligent Computing, ICIC 2015, held in Fuzhou, China, in August 2015. The total of 191 full and 42 short papers presented in the three ICIC 2015 volumes was carefully reviewed and selected from 671 submissions. The papers are organized in topical sections such as evolutionary computation and learning; compressed sensing, sparse coding and social computing; neural networks, nature inspired computing and optimization; pattern recognition and signal processing; image processing; biomedical informatics theory and methods; differential evolution, particle swarm optimization and niche technology; intelligent computing and knowledge discovery and data mining; soft computing and machine learning; computational biology, protein structure and function prediction; genetic algorithms; artificial bee colony algorithms; swarm intelligence and optimization; social computing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; unsupervised learning; collective intelligence; intelligent computing in robotics; intelligent computing in communication networks; intelligent control and automation; intelligent data analysis and prediction; gene expression array analysis; gene regulation modeling and analysis; protein-protein interaction prediction; biology inspired computing and optimization; analysis and visualization of large biological data sets; motif detection; biomarker discovery; modeling; simulation; and optimization of biological systems; biomedical data modeling and mining; intelligent computing in biomedical signal/image analysis; intelligent computing in brain imaging; neuroinformatics; cheminformatics; intelligent computing in computational biology; computational genomics; special session on biomedical data integration and mining in the era of big data; special session on big data analytics; special session on artificial intelligence for ambient assisted living; and special session on swarm intelligence with discrete dynamics.

Machine Intelligence and Smart Systems

Machine Intelligence and Smart Systems Book
Author : Shikha Agrawal,Kamlesh Kumar Gupta,Jonathan H. Chan,Jitendra Agrawal,Manish Gupta
Publisher : Springer Nature
Release : 2022-05-23
ISBN : 9811696500
Language : En, Es, Fr & De

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Book Description :

This book is a collection of peer-reviewed best selected research papers presented at the Second International Conference on Machine Intelligence and Smart Systems (MISS 2021), organized during September 24–25, 2021, in Gwalior, India. The book presents new advances and research results in the fields of machine intelligence, artificial intelligence and smart systems. It includes main paradigms of machine intelligence algorithms, namely (1) neural networks, (2) evolutionary computation, (3) swarm intelligence, (4) fuzzy systems and (5) immunological computation. Scientists, engineers, academicians, technology developers, researchers, students and government officials will find this book useful in handling their complicated real-world issues by using machine intelligence methodologies.

Methods in Computational Biology

Methods in Computational Biology Book
Author : Ross Carlson,Herbert Sauro
Publisher : MDPI
Release : 2019-07-03
ISBN : 3039211633
Language : En, Es, Fr & De

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Book Description :

Modern biology is rapidly becoming a study of large sets of data. Understanding these data sets is a major challenge for most life sciences, including the medical, environmental, and bioprocess fields. Computational biology approaches are essential for leveraging this ongoing revolution in omics data. A primary goal of this Special Issue, entitled “Methods in Computational Biology”, is the communication of computational biology methods, which can extract biological design principles from complex data sets, described in enough detail to permit the reproduction of the results. This issue integrates interdisciplinary researchers such as biologists, computer scientists, engineers, and mathematicians to advance biological systems analysis. The Special Issue contains the following sections: • Reviews of Computational Methods • Computational Analysis of Biological Dynamics: From Molecular to Cellular to Tissue/Consortia Levels • The Interface of Biotic and Abiotic Processes • Processing of Large Data Sets for Enhanced Analysis • Parameter Optimization and Measurement

Artificial Intelligence for Translational Pharmacology

Artificial Intelligence for Translational Pharmacology Book
Author : Zhi-Liang Ji,Lixia Yao,Kartick Chandra Pramanik,Zhaohui John Cai
Publisher : Frontiers Media SA
Release : 2020-07-28
ISBN : 288963888X
Language : En, Es, Fr & De

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Book Description :

Download Artificial Intelligence for Translational Pharmacology book written by Zhi-Liang Ji,Lixia Yao,Kartick Chandra Pramanik,Zhaohui John Cai, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.

Multi omic Data Integration in Oncology

Multi omic Data Integration in Oncology Book
Author : Chiara Romualdi,Enrica Calura,Davide Risso,Sampsa Hautaniemi,Francesca Finotello
Publisher : Frontiers Media SA
Release : 2020-12-03
ISBN : 2889661512
Language : En, Es, Fr & De

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Book Description :

Download Multi omic Data Integration in Oncology book written by Chiara Romualdi,Enrica Calura,Davide Risso,Sampsa Hautaniemi,Francesca Finotello, available in PDF, EPUB, and Kindle, or read full book online anywhere and anytime. Compatible with any devices.