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Translational Urinomics
Translational Urinomics provides an overview of urine analysis using proteomics, metabolomics, transcriptomics or any combination thereof for the diagnosis and prognosis of diseases related to the urinary system and the kidneys. The text approaches urine biomarkers from a new perspective, incorporating up-to-date studies of mass-spectrometry-based biomarker discovery as well as the latest advances in personalized medicine. The integration of technology-driven techniques, such as OMICS also provides a unique opportunity for improved diagnostics accuracy of urinary-related diseases. For nephrologists and urologists looking for new approaches to well-known problems
Therapeutic approaches in cancer treatment
A unique blend of structured information covering a broad area relevant to cancer therapeutics.This book comprises fourteen chapters covering cancer genomic approaches for cancer treatment, traditional modalities, chemotherapy, radiotherapy, hormonal therapy, immunotherapy, oncolytic virotherapy, which is another emerging field. Furthermore, it also covers targeted therapies in personalized medicine, which is again an emerging yet promising field for cancer treatment. Use of nanocarriers in the cancer treatment is another important aspect which is a developing thrive. This book is also unique about in covering psychological elements in cancer treatments and providing knowledge for nutritional assessments in cancer treatment. The book has very good text highlighting the important features with a blend of traditional and emerging treatment modalities. Furthermore, chemoresistance development and challenges it poses in cancer treatment along with the pharmacogenetics of anticancer drug, which is way important for the clinicians to understand for their individual patients, associated toxicities, and clinical responses to a particular drug.
The ADME encyclopedia : A comprehensive guide on biopharmacy and pharmacokinetics
Covers pharmacokinetic phenomena (Absorption, Distribution, Metabolism and Excretion processes) and their relationship with the design of pharmaceutical carriers and the success of drug therapies. It covers both basic and advanced knowledge, serving as introductory material for students of biomedical careers and also as reference, updated material for graduates and professionals working in any field related to pharmaceutical sciences (medicine, pharmaceutical technology, materials science, medicinal chemistry). Structured as alphabetically ordered entries with cross-references, the Encyclopedia not only provides basic knowledge on ADME processes, but also detailed entries on some advanced subjects such as drug transporters, last generation pharmaceutical carriers, pharmacogenomics, personalized medicine, bioequivalence studies, biowaivers, biopharmaceuticals, gene delivery, pharmacometrics, pharmacokinetic drug interactions or in silico and in vitro assessment of ADME properties
Textbook of Personalized Medicine
This book is for personalized medicine as a prescription of specific treatments and therapeutics best suited for an individual and considersgenetic as well as environmental factors that influence responses to therapy. Best approaches are described for integration of all available technologies for optimizing the therapy of individual patients. This edition covers the latest advances in personalized medicine and several chapters are devoted to various specialties, particulary cancer which is the largest area of application. The book discusses the development of personalized medicine and various playersin it such as companies, academic institutions, the government, and the public as the consumer of healthcare. Additionally, the roles of bioinformatics, electronic health records, and digital technologies for personalized medicine are discussed.
Targeted Cancer Therapy
In the era of personalized medicine, cancer treatment has become a model for the use of targeted therapeutics. Leaving behind the "one size fits all" approach to cancer care, this book provides the practicing oncologist with an overview of the advances in treatment and an understanding of the implementation of new therapeutic agents. Targeted Cancer Therapy is divided into twenty chapters covering specific hematologic malignancies and solid tumors, targeted and functional imaging, and combination therapies. Each disease specific chapter includes up-to-date information on investigational and FDA approved therapies which will enhance the reader’s ability to prescribe effective drug regimens. This includes combinations of therapies and therapeutic modalities to overcome drug resistance.
Practical bioinformatics for beginners : From raw sequence analysis to machine learning applications
Next-Generation Sequencing (NGS) is increasingly common and has applications in various fields such as clinical diagnosis, animal and plant breeding, and conservation of species. This incredible tool has become cost-effective. However, it generates a deluge of sequence data that requires efficient analysis. The highly sought-after skills in computational and statistical analyses include machine learning and, are essential for successful research within a wide range of specializations, such as identifying causes of cancer, vaccine design, new antibiotics, drug development, personalized medicine, and increased crop yields in agriculture.This invaluable book provides step-by-step guides to complex topics that make it easy for readers to perform specific analyses, from raw sequenced data to answer important biological questions using machine learning methods. It is an excellent hands-on material for lecturers who conduct courses in bioinformatics and as reference material for professionals. The chapters are standalone recipes making them suitable for readers who wish to self-learn selected topics. Readers gain the essential skills necessary to work on sequenced data from NGS platforms / hence, making themselves more attractive to employers who need skilled bioinformaticians
Pharmaceutical biotechnology : fundamentals and applications
This introductory text explains both the basic science, production, quality, dosage forms, administration, economic and regulatory aspects and the clinical applications of biotechnology-derived pharmaceuticals. It serves as a complete one-stop source for undergraduate/graduate pharmacists and pharmaceutical science students. An additional important audience are pharmaceutical scientists in industry and academia, particularly those who have not received formal training in pharmaceutical biotechnology and are inexperienced in this field. The rapid growth and advances in the field made it necessary to revise this textbook in order to continue providing up-to-date information and introduce readers to cutting edge knowledge and technology of this field.
Perspectives on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy
This work is devoted to understanding the recent advances in nuclear medicine and molecular imaging technologies along with their application to integrated medical therapy and future drug development. This anthology is based on the international symposium in 2015 entitled “Perspective on Nuclear Medicine for Molecular Diagnosis and Integrated Therapy. “The symposium provided an opportunity to exchange ideas on how to promote nuclear medicine technology and how to extend the technology to medical therapy and drug development, and was also a good opportunity to discuss the future perspective of nuclear medicine and molecular imaging by worldwide leaders in the field. Molecular imaging technologies have been rapidly developed worldwide in recent years. Among those developments, nuclear medicine has come to play an important role in quantitative analysis of biological process in vivo as well as in wide clinical use. With the current progress of nuclear medicine and molecular imaging, this modality has been applied for treatment monitoring and predicting its outcome with the use of optimal imaging biomarkers and suitable quantitative analysis.
Personalized medicine
The introduction of personalized medicine (PM) has been a milestone in the history of medical therapy, because it has revolutionized the previous approach of treating the disease with that of treating the patient. It is known today that diseases can occur in different genetic variants, making specific treatments of proven efficacy necessary for a given endotype. There is a growing attention towards personalized medicine. This is led by a fundamental shift from the ‘one size fits all’.. (Every year in the USA 2 million people die due to adverse drug effects, Drug efficacy is only in 60 % of the population - Other 40 % have poor drug effects or no effect at all ) paradigm for treatment of patients with conditions or predisposition to diseases, to one that embraces novel approaches, such as tailored target therapies, to achieve the best possible outcomes.
Intelligent drugs : How AI is transforming healthcare
The progress of biotechnologies and artificial intelligence allowed the development of vaccines in less than a year, thus saving millions of human lives and preserving the global economy. The emergence of intelligent drugs is highlighted, with the promise of ultra-targeted, more effective, and safer treatments against a wide range of diseases. Personalized medicine then becomes realistic, with computer-designed drugs, perfectly adapted to each individual, tested on virtual patients before their real use. In the near future, thanks to AI, new drugs will improve physical performance, stimulate cognitive abilities, prevent diseases, and slow down aging.
Innovations in healthcare and outcome measurement : New approaches for a healthy lifestyle
Aims to bring up-to-date new ideas, opinions, development, and critical issues in healthcare and personalized medicine. We are interested in relevant articles covering a broad range of topics, such as: Advances in medical devices, Digitalization and data-driven technologies, AI and algorithm-based drug development (molecule building, enhancement, clinical trials), Diagnostic imaging, Personalized medicine, Nutrition, Oral health care, Healthcare management in certain diseases and population groups, Regulatory developments, Data management, Digital healthcare.
High performance computing for drug discovery and biomedicine
Explores the application of high-performance computing (HPC) technologies to computational drug discovery (CDD) and biomedicine. Collects CDD approaches that, together with HPC, can revolutionize and automate drug discovery process, such as knowledge graphs, natural language processing (NLP), Bayesian optimization, automated virtual screening platforms, alchemical free energy workflows, fragment-molecular orbitals (FMO), HPC-adapted molecular dynamic simulation (MD-HPC), and the potential of cloud computing for drug discovery. And delves into computational algorithms and workflows for biomedicine, featuring an HPC framework to assess drug-induced arrhythmic risk, digital patient applications relevant to the clinic, virtual human simulations, cellular and whole-body blood flow modeling for stroke treatments, prediction of the femoral bone strength from CT data, and many more subjects.
Fundamentals of Clinical Data Science
This book comprehensively covers the fundamentals of clinical data science, focusing on data collection, modelling and clinical applications. Topics covered in the first section on data collection include: data sources, data at scale (big data), data stewardship (FAIR data) and related privacy concerns. Aspects of predictive modelling using techniques such as classification, regression or clustering, and prediction model validation will be covered in the second section. The third section covers aspects of (mobile) clinical decision support systems, operational excellence and value-based healthcare.
Emerging Technologies in Oral and Maxillofacial Surgery
Covers the application of emerging technologies, occurring after the 4th industrial revolution, in oral and maxillofacial surgery (OMFS) and introduces a new era of personalized medicine in this discipline. It describes the manufacturing and data acquisition methods, in detail, including the advantages and disadvantages of each process. The workflow of using the emerging technologies in reconstructive treatments, orthognathic surgery, implant dentistry, robotic surgery and bio‑fabrication have been covered in separate chapters.
Data Integration in the Life Sciences ; Vol. 4075 ; 3rd International Workshop, DILS 2006, Hinxton, UK, July 20-22, 2006, Proceedings
Data management and data integration are fundamental problems in the life sciences. Advances in molecular biology and molecular medicine are almost u- versallyunderpinned by enormouse?orts in data management,data integration, automatic data quality assurance, and computational data analysis. Many hot topics in the life sciences, such as systems biology, personalized medicine, and pharmacogenomics, critically depend on integrating data sets and applications producedby di?erent experimentalmethods, in di?erent researchgroups,andat di?erent levels of granularity.
Critical issues in head and neck oncology : Key concepts from the eighth THNO meeting
Reviews the state-of-the-art knowledge with emphasis on multidisciplinary decision and management of head and neck cancer. The book provides significant detail on a wide range of topics including: the role of new targets for treatment, immunotherapy, resistance mechanisms, standardizing molecular profiling programs, and new methods to guide therapeutic approaches.
Clinical metabolomics applications in genetic diseases
Helps readers discover the forefront of personalized medicine on clinical metabolomics and its applications in genetic diseases. This comprehensive guide offers a functional relationship map between cell components and genetic variations in various diseases, providing insights that can be applied to personalized medicine. Covers the latest developments in metabolomics for health, with practical guidance for clinical experts looking to advance their laboratory techniques and career. The metabolomics profile is a powerful tool that has revolutionized our understanding of the relationship between genetics, clinical readouts, and disease outcomes. By integrating metabolomics with genomics and clinical phenotypes, the authors have developed diagnostic and prediction models that have vastly improved patient outcomes and deepened the understanding of disease mechanisms.
Biomarkers in drug discovery and development : A handbook of practice, application, and strategy
Discusses 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
Autoimmunity : Methods and protocols
Brings together a comprehensive and up-to-date collection of protocols that reflect the diverse experimental strategies. Chapters detail T-cell, macrophage characterization, neutrophil functional assays, organoid culture methods, spatial transcriptomics, RNA FISH, microRNA profiling, and ribosome profiling. Written in the highly successful Methods in Molecular Biology series format, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and key tips on troubleshooting and avoiding known pitfalls.
Artificial intelligence based cancer nanomedicine : Diagnostics, therapeutics and bioethics
Nanomedicine is evolving with novel drug formulations devised for multifunctional approaches towards diagnostics ad therapeutics. Nanomedicine-based drug therapy is normally explored at a fixed dose. The drug action is time-dependent, dose-dependent and patient-specific. To overcome challenges of nanomedicine testing, artificial intelligence (AI) serves as a helping tool for optimizing the drug and dose parameters. Real time conversions between these two features enables upgradation of patient data acquisition and improved design of nanomaterials. In this scenario, AI-based pattern analysis and algorithms models can greatly improve accuracy of diagnostics and therapeutics.
