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Reznikov I: Langchain for Life Science
and Healthcare

Langchain for Life Science and Healthcare

Innovation Through Llms and Generative AI Agents

Learn to get the most out of your molecular biology experimentsThis hands-on guide shows how to identify and characterize organisms on the molecular scale, understand how they work, locate a particular gene or disease's causal agents at the molecular level, and apply all of this knowledge to the real word issues. The only book of its kind, Experimental Techniques in Molecular Biology gathers all the information you need in one concrete source that covers the many techniques performed in a lab setting and are important for recombinant DNA technology. You will discover how to navigate different situations to target nucleic acids (single and double stranded RNA and DNA) or proteins from different living organisms.The book shows, step by step, how to prepare solutions and buffers, and how to extract RNA, dsRNA, DNA, and protein from virus-infected plant tissues and fungi as well as from blood, animals, insects, bacteria, fungi, and nematodes. Isolation, characterization, quantification, and sequencing are covered in full detail. You will get background information on each technique, clear explanations of each method and why it is chosen, and the different solutions and their roles in the procedures.<ul><li>Features lab techniques not covered in other core textbooks</li><li>Includes 100 full-color illustrations</li><li>Written by an experienced molecular biology academic</li></ul>

Experimental Techniques in Molecular Biology

Applications in R and Python

Essentials of Big Data Analytics

Neurobiology of Metaplasticity

Biofeedback and Pain Management: A Clinical Guide is a practical and informative reference to help readers have a better understanding of the psychophysiology of chronic pain, biofeedback treatments, realities of living life with chronic limitations related to pain, and the role of pain in our lives and society. The book aims to organize available evidence on effective uses of biofeedback interventions for pain management, including protocols, as well as case-based examples and strategies that practitioners can refer to in real-life settings. Biofeedback and Pain Management is organized into three sections. In the first section, "Psychophysiology of Pain," a clear treatment rationale for the use of biofeedback is illustrated, including patient-friendly language about what is biofeedback and illustrations depicting how biofeedback is a useful part of any pain management treatment plan. In the next section, "Biofeedback Protocols," procedures are detailed based on evidence as well as case-based examples. This section is the heart of the book and offers essential strategies that readers can refer to on an as-needed basis. The final section, "Community Pain," explores the larger social context of chronic pain, the toll it has on public health and the ongoing role of healthcare providers who witness pain-related suffering.

A Clinical Guide

Biofeedback and Pain Management

A Methodical Approach

Law and Technology

Advances and Applications

Bioinformatics, Computational Chemistry and AI in Drug Innovation

Expert reference on building surrogate models, optimization using them, prediction uncertainty associate with them, and their potential failure, with practical implementation in MATLAB Surrogate Modeling and Optimization explains the meaning of different surrogate models and provides an in-depth understanding of such surrogates, emphasizing how much uncertainty is associated with them, and when and how a surrogate model can fail in approximating complex functions and helping readers understand theory through practical implementation in MATLAB. This book enables readers to obtain an accurate approximate function using as few samples as possible, thereby allowing them to replace expensive computer simulations and experiments during design optimization, sensitivity analysis, and/or uncertainty quantification. The book is organized into three parts. Part I introduces the basics of surrogate modeling. Part II reviews various theories and algorithms of design optimization. Part III presents advanced topics in surrogate modeling, including the Kriging surrogate, neural network models, multi-fidelity surrogates, and efficient global optimization using Kriging surrogates. The book is divided into 10 chapters. Each chapter contains about 10 examples and 20 exercise problems. Lecture slides and a solution manual for exercise problems are available for instructors on a companion website. Sample topics discussed in Surrogate Modeling and Optimization include: <ul> <li>Various designs of experiments, such as those developed for linear and quadratic polynomial response surfaces (PRS) in a boxlike design space</li> <li>Criteria for constrained and unconstrained optimization and the most important optimization theories</li> <li>Various numerical algorithms for gradient-based optimization</li> <li>Gradient-free optimization algorithms, often referred to as global search algorithms, which do not require gradient or Hessian information</li> <li>Detailed explanations and implementation on Kriging surrogate, often referred to as Gaussian Process, especially when samples include noise</li> <li>The combination of a small number of high-fidelity samples with many low-fidelity samples to improve prediction accuracy</li> <li>Neural network models, focusing on training uncertainty and its effect on prediction uncertainty</li> <li>Efficient global optimization using either polynomial response surfaces or Kriging surrofates</li> </ul> Surrogate Modeling and Optimization is an essential learning companion for senior-level undergraduate and graduate students in all engineering disciplines, including mechanical, aerospace, civil, biomedical, and electrical engineering. The book is also valuable for industrial practitioners who apply the surrogate model to solve their optimization problems.

Theories, Applications, and Limitations

Surrogate Modeling and Optimization

Fundamentals of Biology 1

From Molecules to the Biochemistry of Cells

This book provides illustrations and descriptions of commonly observed findings in toxicologic pathology (i.e., over 1100 photomicrographic examples). These illustrations add visual context to the terms and descriptions commonly used in the field. The illustrations and accompanying descriptions were prepared and peer reviewed by editors and contributors who are known experts in toxicologic pathology, toxicology, and drug development. The Atlas is designed to be practical and easy to use and written with the intent that it would become a reliable "go-to" reference, and will be of interest to students and nonscientists (i.e., individuals serving on animal care and use committees) as a key, single source reference to understanding terminology and visualizing tissue changes described by toxicologic pathologists.

An Atlas

Toxicologic Pathology

Progress In Data Science

Ubiquitous Laplacian: An Introduction To Numerical Pdes With Applications In Data Science

From Mitigation to Adaptation

Climate Change, Public Health, and Regional Security in the Indo-Pacific

Routledge International Handbooks

The Routledge International Handbook of Ethnographic Film and Video

Langchain for Life Science and Healthcare

Bibliografische Angaben

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Bibliografische Angaben

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