Predictive Modeling Of Drug Sensitivity

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Predictive Modeling of Drug Sensitivity

Ranadip Pal
Predictive Modeling of Drug Sensitivity Book PDF

Author : Ranadip Pal
Publisher : Academic Press
Page : 354 pages
File Size : 48,9 Mb
Release : 2016-11-15
Category : Computers
ISBN : 9780128054314

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Predictive Modeling of Drug Sensitivity by Ranadip Pal Pdf

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 Pharmaceutical Unit Operations

Preetanshu Pandey,Rahul Bharadwaj
Predictive Modeling of Pharmaceutical Unit Operations Book PDF

Author : Preetanshu Pandey,Rahul Bharadwaj
Publisher : Woodhead Publishing
Page : 464 pages
File Size : 41,5 Mb
Release : 2016-09-26
Category : Medical
ISBN : 9780081001806

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Predictive Modeling of Pharmaceutical Unit Operations by Preetanshu Pandey,Rahul Bharadwaj Pdf

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

Protein Kinase Inhibitors as Sensitizing Agents for Chemotherapy

Anonim
Protein Kinase Inhibitors as Sensitizing Agents for Chemotherapy Book PDF

Author : Anonim
Publisher : Academic Press
Page : 292 pages
File Size : 43,9 Mb
Release : 2018-11-21
Category : Medical
ISBN : 9780128127384

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Protein Kinase Inhibitors as Sensitizing Agents for Chemotherapy by Anonim Pdf

Tyrosine Kinase Inhibitors as Sensitizing Agents for Chemotherapy, the fourth volume in the Cancer Sensitizing Agents for Chemotherapy Series, focuses on strategic combination therapies that involve a variety of tyrosine kinase inhibitors working together to overcome multi-drug resistance in cancer cells. The book discusses several tyrosine kinase inhibitors that have been used as sensitizing agents, such as EGFR, BCR-ABL, ALK and BRAF. In each chapter, readers will find comprehensive knowledge on the inhibitor and its action, including its biochemical, genetic, and molecular mechanisms' emphases. This book is a valuable source for oncologists, cancer researchers and those interested in applying new sensitizing agents to their research in clinical practice and in trials. Summarizes the sensitizing role of some tyrosine kinase inhibitors in existing research Brings recent findings in several cancer types, both experimental and clinically, with a particular emphases on underlying biochemical, genetic, and molecular mechanisms Provides an updated and comprehensive knowledge regarding the field of combinational cancer treatment

Cancer Bioinformatics

Alexander Krasnitz
Cancer Bioinformatics Book PDF

Author : Alexander Krasnitz
Publisher : Humana Press
Page : 280 pages
File Size : 46,9 Mb
Release : 2018-11-18
Category : Medical
ISBN : 1493988662

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Cancer Bioinformatics by Alexander Krasnitz Pdf

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.

Molecular Interaction Fields

Gabriele Cruciani
Molecular Interaction Fields Book PDF

Author : Gabriele Cruciani
Publisher : John Wiley & Sons
Page : 328 pages
File Size : 40,9 Mb
Release : 2006-05-12
Category : Science
ISBN : 9783527607136

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Molecular Interaction Fields by Gabriele Cruciani Pdf

This unique reference source, edited by the world's most respected expert on molecular interaction field software, covers all relevant principles of the GRID force field and its applications in medicinal chemistry. Entire chapters on 3D-QSAR, pharmacophore searches, docking studies, metabolism predictions and protein selectivity studies, among others, offer a concise overview of this emerging field. As an added bonus, this handbook includes a CD-ROM with the latest commercial versions of the GRID program and related software.

Applied Predictive Modeling

Max Kuhn,Kjell Johnson
Applied Predictive Modeling Book PDF

Author : Max Kuhn,Kjell Johnson
Publisher : Springer Science & Business Media
Page : 600 pages
File Size : 40,9 Mb
Release : 2013-05-17
Category : Medical
ISBN : 9781461468493

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Applied Predictive Modeling by Max Kuhn,Kjell Johnson Pdf

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 can be used as an introduction to predictive models and the overall modeling process, a practitioner’s reference handbook, or as a text for advanced undergraduate or graduate level predictive modeling courses. To that end, each chapter contains problem sets to help solidify the covered concepts and uses data available in the book’s R package. This text is intended for a broad audience as both an introduction to predictive models as well as a guide to applying them. Non-mathematical readers will appreciate the intuitive explanations of the techniques while an emphasis on problem-solving with real data across a wide variety of applications will aid practitioners who wish to extend their expertise. Readers should have knowledge of basic statistical ideas, such as correlation and linear regression analysis. While the text is biased against complex equations, a mathematical background is needed for advanced topics.

Oncogenomics and Cancer Proteomics

Cesar Lopez-Camarillo,Elena Arechaga-Ocampo
Oncogenomics and Cancer Proteomics Book PDF

Author : Cesar Lopez-Camarillo,Elena Arechaga-Ocampo
Publisher : BoD – Books on Demand
Page : 242 pages
File Size : 50,9 Mb
Release : 2013-03-13
Category : Medical
ISBN : 9789535110415

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Oncogenomics and Cancer Proteomics by Cesar Lopez-Camarillo,Elena Arechaga-Ocampo Pdf

Oncogenomics and Cancer Proteomics - Novel Approaches in Biomarkers Discovery and Therapeutic Targets in Cancer presents comprehensive reviews of the most common cancers from bench to bedside applications by an international team of experts. This book will contribute to the scientific and medical community by providing up-to-date discoveries of oncogenomics and their potential applications in cancer translational research. It is intended for students, scientists, clinicians, oncologists and health professionals working in cancer research.

Biomarkers in Drug Development

Michael R. Bleavins,Claudio Carini,Mallé Jurima-Romet,Ramin Rahbari
Biomarkers in Drug Development Book PDF

Author : Michael R. Bleavins,Claudio Carini,Mallé Jurima-Romet,Ramin Rahbari
Publisher : John Wiley & Sons
Page : 559 pages
File Size : 50,8 Mb
Release : 2011-09-20
Category : Medical
ISBN : 9781118210420

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Biomarkers in Drug Development by Michael R. Bleavins,Claudio Carini,Mallé Jurima-Romet,Ramin Rahbari Pdf

Discover how biomarkers can boost the success rate of drug development efforts As pharmaceutical companies struggle to improve the success rate and cost-effectiveness of the drug development process, biomarkers have emerged as a valuable tool. This book synthesizes and reviews the latest efforts to identify, develop, and integrate biomarkers as a key strategy in translational medicine and the drug development process. Filled with case studies, the book demonstrates how biomarkers can improve drug development timelines, lower costs, facilitate better compound selection, reduce late-stage attrition, and open the door to personalized medicine. Biomarkers in Drug Development is divided into eight parts: Part One offers an overview of biomarkers and their role in drug development. Part Two highlights important technologies to help researchers identify new biomarkers. Part Three examines the characterization and validation process for both drugs and diagnostics, and provides practical advice on appropriate statistical methods to ensure that biomarkers fulfill their intended purpose. Parts Four through Six examine the application of biomarkers in discovery, preclinical safety assessment, clinical trials, and translational medicine. Part Seven focuses on lessons learned and the practical aspects of implementing biomarkers in drug development programs. Part Eight explores future trends and issues, including data integration, personalized medicine, and ethical concerns. Each of the thirty-eight chapters was contributed by one or more leading experts, including scientists from biotechnology and pharmaceutical firms, academia, and the U.S. Food and Drug Administration. Their contributions offer pharmaceutical and clinical researchers the most up-to-date understanding of the strategies used for and applications of biomarkers in drug development.

Explanatory Model Analysis

Przemyslaw Biecek,Tomasz Burzykowski
Explanatory Model Analysis Book PDF

Author : Przemyslaw Biecek,Tomasz Burzykowski
Publisher : CRC Press
Page : 312 pages
File Size : 42,8 Mb
Release : 2021-02-15
Category : Business & Economics
ISBN : 9780429651373

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Explanatory Model Analysis by Przemyslaw Biecek,Tomasz Burzykowski Pdf

Explanatory Model Analysis Explore, Explain and Examine Predictive Models is a set of methods and tools designed to build better predictive models and to monitor their behaviour in a changing environment. Today, the true bottleneck in predictive modelling is neither the lack of data, nor the lack of computational power, nor inadequate algorithms, nor the lack of flexible models. It is the lack of tools for model exploration (extraction of relationships learned by the model), model explanation (understanding the key factors influencing model decisions) and model examination (identification of model weaknesses and evaluation of model's performance). This book presents a collection of model agnostic methods that may be used for any black-box model together with real-world applications to classification and regression problems.

Machine Learning in Non-Stationary Environments

Masashi Sugiyama,Motoaki Kawanabe
Machine Learning in Non Stationary Environments Book PDF

Author : Masashi Sugiyama,Motoaki Kawanabe
Publisher : MIT Press
Page : 279 pages
File Size : 49,9 Mb
Release : 2012-03-30
Category : Computers
ISBN : 9780262300438

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Machine Learning in Non-Stationary Environments by Masashi Sugiyama,Motoaki Kawanabe Pdf

Theory, algorithms, and applications of machine learning techniques to overcome “covariate shift” non-stationarity. As the power of computing has grown over the past few decades, the field of machine learning has advanced rapidly in both theory and practice. Machine learning methods are usually based on the assumption that the data generation mechanism does not change over time. Yet real-world applications of machine learning, including image recognition, natural language processing, speech recognition, robot control, and bioinformatics, often violate this common assumption. Dealing with non-stationarity is one of modern machine learning's greatest challenges. This book focuses on a specific non-stationary environment known as covariate shift, in which the distributions of inputs (queries) change but the conditional distribution of outputs (answers) is unchanged, and presents machine learning theory, algorithms, and applications to overcome this variety of non-stationarity. After reviewing the state-of-the-art research in the field, the authors discuss topics that include learning under covariate shift, model selection, importance estimation, and active learning. They describe such real world applications of covariate shift adaption as brain-computer interface, speaker identification, and age prediction from facial images. With this book, they aim to encourage future research in machine learning, statistics, and engineering that strives to create truly autonomous learning machines able to learn under non-stationarity.

Chemosensitivity

Rosalyn D. Blumenthal
Chemosensitivity Book PDF

Author : Rosalyn D. Blumenthal
Publisher : Springer Science & Business Media
Page : 234 pages
File Size : 40,7 Mb
Release : 2008-02-01
Category : Medical
ISBN : 9781592598694

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Chemosensitivity by Rosalyn D. Blumenthal Pdf

A state-of-the art collection of readily reproducible laboratory methods for assessing chemosensitivity in vitro and in vivo, and for assessing the parameters that modulate chemosensitivity in individual tumors. Chemosensitivity, Volume 1: In Vitro Assays provides a panel of 16 in vitro measures of chemosensitivity in adherent and non-adherent cells for single agents and combinations of agents. In addition to immunohistochemical and imaging approaches, these assays include clonogenic, colorimetric, fluorometric, and physiological assays. Highlights include image analysis to assess drug sensitivity, high throughput approaches using green fluorescent protein, DIMSCAN (a microcomputer fluorescence-based assay), and the ChemoFx assay used in biotechnology. A companion volume, Volume 2: In Vivo Models, Imaging, and Molecular Regulators, provides protocols for classifying tumors into response categories and customizing chemotherapy regimens to individual patients.

Healthcare Risk Adjustment and Predictive Modeling

Ian G. Duncan
Healthcare Risk Adjustment and Predictive Modeling Book PDF

Author : Ian G. Duncan
Publisher : ACTEX Publications
Page : 350 pages
File Size : 52,9 Mb
Release : 2011
Category : Business & Economics
ISBN : 9781566987691

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Healthcare Risk Adjustment and Predictive Modeling by Ian G. Duncan Pdf

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 data mining and some of the common approaches used by modelers. The third and final section covers a number of predictive modeling and risk adjustment case-studies, with examples from Medicaid, Medicare, disability, depression diagnosis and provider reimbursement, as well as the use of predictive modeling and risk adjustment outside the U.S. For readers who wish to experiment with their own models, the book also provides access to a test dataset.

Fundamentals of Predictive Analytics with JMP, Second Edition

Ron Klimberg,B. D. McCullough
Fundamentals of Predictive Analytics with JMP Second Edition Book PDF

Author : Ron Klimberg,B. D. McCullough
Publisher : SAS Institute
Page : 532 pages
File Size : 52,6 Mb
Release : 2017-12-19
Category : Mathematics
ISBN : 9781629608013

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Fundamentals of Predictive Analytics with JMP, Second Edition by Ron Klimberg,B. D. McCullough Pdf

Written for students in undergraduate and graduate statistics courses, as well as for the practitioner who wants to make better decisions from data and models, this updated and expanded second edition of Fundamentals of Predictive Analytics with JMP(R) bridges the gap between courses on basic statistics, which focus on univariate and bivariate analysis, and courses on data mining and predictive analytics. Going beyond the theoretical foundation, this book gives you the technical knowledge and problem-solving skills that you need to perform real-world multivariate data analysis. First, this book teaches you to recognize when it is appropriate to use a tool, what variables and data are required, and what the results might be. Second, it teaches you how to interpret the results and then, step-by-step, how and where to perform and evaluate the analysis in JMP . Using JMP 13 and JMP 13 Pro, this book offers the following new and enhanced features in an example-driven format: an add-in for Microsoft Excel Graph Builder dirty data visualization regression ANOVA logistic regression principal component analysis LASSO elastic net cluster analysis decision trees k-nearest neighbors neural networks bootstrap forests boosted trees text mining association rules model comparison With today’s emphasis on business intelligence, business analytics, and predictive analytics, this second edition is invaluable to anyone who needs to expand his or her knowledge of statistics and to apply real-world, problem-solving analysis. This book is part of the SAS Press program.

Biomarkers in Drug Discovery and Development

Ramin Rahbari,Jonathan Van Niewaal,Michael R. Bleavins
Biomarkers in Drug Discovery and Development Book PDF

Author : Ramin Rahbari,Jonathan Van Niewaal,Michael R. Bleavins
Publisher : John Wiley & Sons
Page : 624 pages
File Size : 47,7 Mb
Release : 2020-02-28
Category : Medical
ISBN : 9781119187523

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Biomarkers in Drug Discovery and Development by Ramin Rahbari,Jonathan Van Niewaal,Michael R. Bleavins Pdf

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)

Artificial Intelligence in Drug Discovery

Nathan Brown
Artificial Intelligence in Drug Discovery Book PDF

Author : Nathan Brown
Publisher : Royal Society of Chemistry
Page : 425 pages
File Size : 53,9 Mb
Release : 2020-11-04
Category : Computers
ISBN : 9781839160547

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Artificial Intelligence in Drug Discovery by Nathan Brown Pdf

Following significant advances in deep learning and related areas interest in artificial intelligence (AI) has rapidly grown. In particular, the application of AI in drug discovery provides an opportunity to tackle challenges that previously have been difficult to solve, such as predicting properties, designing molecules and optimising synthetic routes. Artificial Intelligence in Drug Discovery aims to introduce the reader to AI and machine learning tools and techniques, and to outline specific challenges including designing new molecular structures, synthesis planning and simulation. Providing a wealth of information from leading experts in the field this book is ideal for students, postgraduates and established researchers in both industry and academia.