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Probability Modeling and Statistical Inference in Cancer Screening
Cancer screening has been carried out for six decades – however, there are many unsolved problems: how to estimate key parameters involved in screenings, such as sensitivity, the time duration in the preclinical state (i.e., sojourn time), and time duration in the disease-free state; how to estimate the distribution of lead time, the diagnosis time advanced by screening; how to evaluate the long-term outcomes of screening, including the probability of overdiagnosis among the screen-detected; when to schedule the first exam based on one’s current age and risk tolerance; and when to schedule the upcoming exam based on one’s screening history, age, and risk tolerance. These problems need ...
Development of Gene Therapies
Cell and gene therapies have become the third major drug modality in pharmaceutical medicine of the 21st century after low molecular weight and antibody drugs. The gene therapy (GTx) field is rapidly advancing, and yet there are still fundamental scientific questions that remain to be answered. Development of GTx products poses unique challenges and opportunities for drug developers. However, there is lack of a systematic exposition of the GTx product development and the pivotal role of the biostatistician in this process. Development of Gene Therapies: Strategic, Scientific, and Regulatory, and Access Considerations attempts to summarize the current state-of-the-art strategic, scientific, s...
Bayesian Precision Medicine
Bayesian Precision Medicine presents modern Bayesian statistical models and methods for identifying treatments tailored to individual patients using their prognostic variables and predictive biomarkers. The process of evaluating and comparing treatments is explained and illustrated by practical examples, followed by a discussion of causal analysis and its relationship to statistical inference. A wide array of modern Bayesian clinical trial designs are presented, including applications to many oncology trials. The later chapters describe Bayesian nonparametric regression analyses of datasets arising from multistage chemotherapy for acute leukemia, allogeneic stem cell transplantation, and tar...
Next Generation Plant Breeding
Following the green revolution and transgenic crop development, another revolutionary progress has been experienced in plant breeding in the last decade with the application of marker-assisted selection (MAS), next-generation sequencing (NGS), and gene editing techniques together with omic technologies, including genomics, transcriptomics, proteomics, and phenomics. Thus, this book is structured into two sections: "Marker-Assisted Breeding" and "RNA-seq and Gene Editing in Plants," which aim to provide a reference for students, instructors, and scientists on recent innovative advances in plant-breeding programs to cultivate crops for tomorrow.
Handbook of Adaptive Designs in Pharmaceutical and Clinical Development
In response to the US FDA's Critical Path Initiative, innovative adaptive designs are being used more and more in clinical trials due to their flexibility and efficiency, especially during early phase development. Handbook of Adaptive Designs in Pharmaceutical and Clinical Development provides a comprehensive and unified presentation of the princip
Biological Shape Analysis - Proceedings Of The 3rd International Symposium
The proceedings were designed to bring together researchers who share a common interest in the quantitative description of the biological form. Participants came from very diverse disciplines such as agricultural genetics, botany, entomology, forensics, human anatomy, paleontology, human evolution, primatology, dentistry, etc. The participants applied various methodological approaches that are being increasingly used to describe aspects of the biological form. These techniques include neural networks, Fourier descriptors, shape mapping, genome-wide association studies (GWAS), Riemann curves, surface mapping, etc. A number of the contributions in the proceedings represent state of the art research that reflects advances in that discipline.
Handbook of Personalized Medicine
This book compiles multidisciplinary efforts to conceptualize the environment in research and clinical setting that creates the fertile ground for the practical utility of personalized medicine decisions and also enables clinical pharmacogenomics for establishing pharmacotyping in drug prescription. Its covers innovative drug formulations and nanotheranostics, molecular imaging and signatures, translational nanomedicine and informatics, stem cell therapy approaches, modeling and predictability of drug response, pharmacogenetics-guided drug prescription, pediatric drug dosing, pharmacovigilance and regulatory aspects, ethical and cost-effectiveness issues, pharmacogenomics knowledge bases, personal genome sequencing, molecular diagnostics, as well as information-based medicine.
Statistical Analytics for Health Data Science with SAS and R
This book aims to compile typical fundamental-to-advanced statistical methods to be used for health data sciences. Although the book promotes applications to health and health-related data, the models in the book can be used to analyze any kind of data. The data are analyzed with the commonly used statistical software of R/SAS (with online supplementary on SPSS/Stata). The data and computing programs will be available to facilitate readers’ learning experience. There has been considerable attention to making statistical methods and analytics available to health data science researchers and students. This book brings it all together to provide a concise point-of-reference for the most commo...
Molecular Mechanisms of Specialized Metabolites in the Regulation of Plant Development and Stress Resistance
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Systems Biology in Drug Discovery and Development
The first book to focus on comprehensive systems biology as applied to drug discovery and development Drawing on real-life examples, Systems Biology in Drug Discovery and Development presents practical applications of systems biology to the multiple phases of drug discovery and development. This book explains how the integration of knowledge from multiple sources, and the models that best represent that integration, inform the drug research processes that are most relevant to the pharmaceutical and biotechnology industries. The first book to focus on comprehensive systems biology and its applications in drug discovery and development, it offers comprehensive and multidisciplinary coverage of...
