الصفحة 2
الصفحة 2
Drug delivery systems using quantum computing
Drug delivery systems (DDS) are defined as methods by which drugs are delivered to desired tissues, organs, cells, and subcellular organs for drug release and absorption through a variety of drug carriers. By controlling the precise level and/or location of a given drug in the body, side effects are reduced, doses are lowered, and new therapies are possible. Nevertheless, there are still significant obstacles to delivering certain medications to particular cells. Drug delivery methods change pharmacokinetic, pharmacodynamic, and drug release patterns to enhance product efficacy and safety, as well as patient convenience and compliance.
DiPiro’s pharmacotherapy : A pathophysiologic approach
It is this in-depth knowledge of pharmacotherapy, combined with the clinical experience gained through postgraduate training in direct patient care practice, that allows the pharmacist to be the "medication therapy expert" on the healthcare team and to proactively address medication-related problems.It is provides knowledge necessary to prevent, identify, and manage disease and medication-related problems
Data science, AI, and machine learning in drug development
The confluence of big data, AI, and machine learning has led to a paradigm shift in how innovative medicines are developed and healthcare delivered. To fully capitalize on these technological advances, it is essential to systematically harness data from diverse sources and leverage digital technologies and advanced analytics to enable data-driven decisions. Data science stands at a unique moment of opportunity to lead such a transformative change. Intended to be a single source of information, Data Science, AI, and Machine Learning in Drug Research and Development covers a wide range of topics on the changing landscape of drug R&D, emerging applications of big data, AI and machine learning in drug development, and the build of robust data science organizations to drive biopharmaceutical digital transformations
Clinical pharmacy and therapeutics ; 5th ed.
Multi-disciplinary textbook continues to draw on the skills of pharmacists, clinicians and nurses to present optimal drug regimens. The authors integrate an understanding of the disease processes with an appreciation of the pathophysiological processes, clinical pharmacy and the evidence base. Each chapter is co-written by a pharmacist and a clinician, and each chapter begins with key points and ends with cases to test understanding.
Clinical Pharmacology for Prescribing
Provides key points of basic pharmacology to explain drug actions / Shows clear relationship between pathophysiology and prescribing / Illustrations explain pharmacological mechanisms / Practical prescribing boxes highlight therapies for common conditions / 'Prescribing warnings' help readers to avoid adverse reactions and minimise side effects / Clear links to current medical guidelines throughout / Clear consistent structure in every chapter helps navigation and learning
CADD and informatics in drug discovery
Updates knowledge on recent advances in computational and bioinformatics tools/techniques and their practical applications in modern drug design and discovery programme. Also it encompasses fundamental principles, advanced methodologies and applications of various CADD approaches including several cutting-edge areas / presenting recent developments covering ongoing trends in the field of computer-aided drug discovery. Having contributions by a global team of experts, the book is expected to be an ideal resource for drug discovery scientists, medicinal chemists, pharmacologists, toxicologists, phytochemists, biochemists, biologists, RandD personnel, researchers, students, teachers and those working in the field of drug discovery. It will fill the knowledge gaps that exist in the current CADD approaches and methodologies/ protocols being widely used in both academic and research practices. Further, a special focus on current status of various computational drug design approaches (SBDD, LBDD, De-novo drug design, Pharmacophore-based search), bioinformatics tools and databases, computational screening and modeling of phytochemicals/natural products, artificial intelligence and machine learning, and network pharmacology and system biology would certainly guide researchers, students or readers to conduct their research in the emerging area(s) of interest. It is also expected to be highly beneficial to different stakeholders working in the pharmaceutical and biotechnology industries (RandD), the academic as well as research sectors. .
Bioinformatics tools for pharmaceutical drug product development
Presents the latest information on bioinformatics tools, artificial intelligence, machine learning, computational methods, protein interactions, peptide-based drug design, and omics technologies. And include bioinformatics tools for the pharmaceutical sector and the healthcare sector. Bioinformatics brings a new era in research to accelerate drug target and vaccine design development, improving validation approaches as well as facilitating and identifying side effects and predicting drug resistance. As such, this will aid in more successful drug candidates from discovery to clinical trials to the market, and most importantly make it a more cost-effective process overall.
Aulton's pharmaceutics : The design and manufacture of medicines
A comprehensive textbook covering the design of dosage forms and all aspects of drug delivery systems. Pharmaceutics in its broadest sense is the 'art of the apothecary' or, in simple terms, pharmaceutical preparations. It remains a diverse subject in the pharmacy curriculum, encompassing design of drugs, their manufacture and the elimination of micro-organisms from the products.
Asymmetric synthesis of drugs and natural products
Focuses on different techniques of asymmetric synthesis of important compounds, such as drugs and natural products. It gives insightful information on recent asymmetric synthesis by Inorganic, Organic and Enzymatic combinations
Applications of nanotechnology in drug discovery and delivery
Presents complete coverage of the application of nanotechnology in the discovery of new drugs and efficient target delivery of drugs. The book highlights recent advances of nanotechnology applications in the biomedical sciences, starting with chapters that provide the basics of nanotechnology, nanoparticles and nanocarriers. Part II deals with the application of nanotechnology in drug discovery, with an emphasis on enhanced delivery of pharmaceutical products, with Part III discussing toxicological and safety issues arising from the use of nanomaterials
Ansel's pharmaceutical dosage forms
Reflects the CAPE, APhA, and NAPLEX® competencies, and covers physical pharmacy, pharmacy practice, pharmaceutics, compounding, and dosage forms and the clinical application of the various dosing forms in patient care.
Analysis file of drug-induced lung injury : expert opinion for analysis of big data
Describes the pathologic conditions of drug-induced lung injuries, monitoring strategies, and guides on how to interpret the evidence. It also dives into particular drugs that caused the disorder, such as EGFR inhibitors, anti-EGFR antibodies, mTOR inhibitors, proteasome inhibitors, immune checkpoint inhibitors, neoangiogenesis inhibitors, and other molecular targeted drugs. It outlines the analysis and interpretation of the post-marketing survey on surveillance of each drug for inducing pulmonary lesions presenting diffuse haziness. The data and analysis from this survey are valuable since a guideline is yet to be established due to limited clinical evidence and cases. As new drugs are developed, establishing treatment and event management is crucial.
Advances in pharmacokinetics and pharmacodynamics
Provides a concise overview of recent advances in Pharmacokinetics (PK) and Pharmacodynamics (PD). The pharmacokinetics section covers the state of the art in Physiologically Based Pharmacokinetic (PBPK) modeling (Chapter 1) as well as the assessment of food effect on drug absorption using PBPK modeling (Chapter 2). Chapters 3 and 4 describe the recent development of Physiologically Based Finite Time Pharmacokinetic (PBFTPK) models and their applications to pharmacokinetic data. The pharmacodynamics section focuses on PK/PD modeling. Chapter 5 provides an overview of PK/PD modeling and simulation in clinical practice and studies. Chapter 6 deals with the subject/physiology variability issue encountered in PK/PD studies, while Chapter 7 reviews the influence of clinical pharmacology in the modernization of drug development and regulation. This book is an essential reference for pharmaceutical scientists.
