Overcoming Obstacles in Drug Discovery and Development uses real-world case studies to illustrate how critical thinking and problem solving skills are applied in the discovery and development of drugs. It also shows how developing critical thinking to overcome issues plays an essential role in the process. Modern drug discovery and development is a highly complex undertaking that requires scientific and professional expertise to be successful. After the identification of a molecular entity for treating a medical condition, challenges inevitably arise during the subsequent development to understand and characterize the biological profile; feedback from scientists is used to fine-tune the molecular entity to obtain an effective and safe product. In this process, the discovery team may identify unexpected safety issues and new medical disorders for treatment by the molecular entity. Invariably inherent in this complex undertaking are miscues, mistakes, and unexpected problems that can derail development and throw timetables into disarray, potentially leading to failure in the development of a medically useful drug. Addressing critical unexpected problems during development often requires scientists to utilize critical thinking and imaginative problem-solving skills. Overcoming Obstacles in Drug Discovery and Development will be essential to young scientists to help learn the skills to successfully face challenges, learn from mistakes, and further develop critical thinking skills. It will also be beneficial to experienced researchers who can learn from the case studies of successful and unsuccessful drug development. - Provides real-world case studies in drug discovery and the development of drugs - Illustrates the use of critical thinking and problem solving in approaching preclinical and clinical problems in drug discovery and development - Illustrates and analyses examples of successes and failures in drug discovery and development that have not previously been reported

This book is written to provide a brief overview concerning the latest drug discovery and its development based on the research studies that have been carried out until the present. The idea of preparing this book was inspired by the Holy Qur’an and the hadith, which guides us in all aspects of life, including disease management and treatment. This was supported by the traditional use of natural medicine by our ancestors. From the scientific point of view, we translate all those knowledge and information to be evidence-based modern medicines. We practised the common process of drug discovery development by identifying the potential molecule, followed by in vitro and in vivo experiments. The formulation is a crucial process to produce an efficient and effective drug delivery. Not to forget the future vision that “things would not give any meaning if it is not giving benefit to the people”. Commercialisation is one of the approaches to promote the product across the market and community. The book ends with the current issue of the COVID-19 global pandemic with regards to the treatment, natural medicine, and vaccination.

There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence.

Detailing formulation approaches by stage of discovery to early development, this book gives a “playbook” of practical and efficient strategies to formulate drug candidates with the least chance of failing in clinical development. • Comes from contributing authors with experience developing formulations on the frontlines of the pharmaceutical industry • Focuses on pre (or non-) clinical and early stage development, the phases where most compounds are used in drug research • Features case studies to illustrate practical challenges and solutions in formulation selection • Covers regulatory filing, drug metabolism and physical and chemical properties, toxicology formulation, biopharmaceutics classification system (BCS), screening approaches, early stage clinical formulation development, and outsourcing

??Applications of Artificial Intelligence in Healthcare and Biomedicine provides ?updated knowledge on the applications of artificial intelligence in medical image analysis. The book starts with an introduction to Artificial Intelligence techniques for Healthcare and Biomedicine. In 16 chapters it presents artificial applications in Electrocardiogram (ECG), Electroencephalogram (EEG) and Electromyography (EMG), signal analysis, Computed Tomography (CT), Magnetic Resonance Imaging (MR) and Ultrasound image analysis. It equips researchers with tools for early breast cancer detection from mammograms using artificial intelligence (AI), AI models to detect lung cancer using histopathological images and a deep learning-based approach to get a proper and faster diagnosis of the Optical Coherence Tomography (OCT) images. It also presents present 3D medical image analysis using 3D Convolutional Neural Networks (CNNs). Applications of Artificial Intelligence in Healthcare and Biomedicine closes with a chapter on AI-based approach to forecast diabetes patients' hospital re-admissions. This is a valuable resource for clinicians, researchers and healthcare professionals who are interested in learning more about the applications of Artificial Intelligence and its impact in medical/biomedical image analysis. Provides knowledge on Artificial Intelligence algorithms for clinical data analysis Gives insights into both AI applications in biomedical signal analysis, biomedical image analysis, and applications in healthcare, including drug discovery Equips researchers with tools for early breast cancer detection

Many chemotherapeutic agents are available in today’s market that are highly effective against a variety of cancer types; however, the major drawbacks of these chemotherapeutic agents are the many side effects. As an alternative to these chemotherapeutic agents, there are a number of natural agents that are effective against cancer that have been tested in preclinical and clinical models over the years. These natural products must be documented and discussed in order to provide a thorough overview of all the options available for cancer treatment. The Handbook of Research on Natural Products and Their Bioactive Compounds as Cancer Therapeutics emphasizes the list of natural agents against all types of cancers and discusses the current state of research in the fields of natural products and their derivatives against cancer in preclinical and clinical models. This book also provides insight into the applications of meditation and mindfulness-based interventions in clinical and non-clinical conditions. Covering topics such as cancer therapy, antioxidants, and flavonoids, it is ideal for students, research scholars, academicians, professors, scientists, oncologists, doctors, and medical practitioners.

The integration of artificial intelligence (AI) stands as both a promise and a challenge in the field of healthcare. As technological advancements reshape the industry, academic scholars find themselves at the forefront of a crucial dialogue about the ethical implications and societal repercussions of AI. The accelerating sophistication of AI technologies brings forth a central dilemma: how to maintain the crucial human touch required for compassionate and effective patient care in the face of unprecedented technical progress. This challenge is not only a theoretical concern but a pressing reality as healthcare systems increasingly rely on AI-driven solutions. Approaches to Human-Centered AI in Healthcare emerges as a significant guide, offering a comprehensive exploration of the opportunities and challenges entwined with the integration of AI into healthcare. The book becomes a critical compass, navigating readers through the intricate intersections of AI and patient care. By delving into real-world case studies, cutting-edge research findings, and practical recommendations, it provides a roadmap for scholars to navigate the complexities of healthcare AI. In doing so, it aims not only to inform but to shape the discourse around the responsible integration of AI, ensuring that the fundamental principles of compassionate patient care remain at the forefront.

Biochemical and Molecular Pharmacology in Drug Discovery comprises fundamental biochemical and molecular aspects of drug discovery and basic understanding of modern drug discovery approaches along with certain key topics related to molecular pharmacology of drugs and therapeutics. Molecular pharmacology has gained significant momentum among researchers, scientists, and academicians because of its increasing interest in drug discovery research across the globe. Molecular pharmacology involves a fundamental understanding of drug actions at the molecular level with the help of several tools and techniques of biochemical and molecular biology. It explains the phenomena of drug-target interactions considering different biochemical systems and cellular strategies. With the advent of technologies, current advances and research trends move toward molecular and/or target-based drug design and discovery. Through this book, readers will be able to gain skills and knowledge with a thorough understanding of the subject of biochemical and molecular pharmacology, in a comprehensive and systematic manner with special reference to recent advances in drug discovery research. - Highlights the fundamentals of biochemical and molecular aspects, with reference to drug discovery research - Depicts modern drug discovery approaches such as reverse pharmacology, drug repositioning, and CADD in the context of current research updates - Summarizes recent developments in the molecular pharmacology of novel drugs/ therapeutic molecules

Facilitates the discovery and development of new, effective therapeutics With coverage of the latest mass spectrometry technology, this book explains how mass spectrometry can be used to enhance almost all phases of drug discovery and drug development, including new and emerging applications. The book's fifteen chapters have been written by leading pharmaceutical and analytical scientists. Their contributions are based on a thorough review of the current literature as well as their own experience developing new mass spectrometry techniques to improve the ability to discover and develop new and effective therapeutics. Mass Spectrometry for Drug Discovery and Drug Development begins with an overview of the types of mass spectrometers that facilitate drug discovery and development. Next it covers: HPLC high-resolution mass spectrometry for quantitative assays Mass spectrometry for siRNA Quantitative analysis of peptides Mass spectrometry analysis of biological drugs Applications that support medicinal chemistry investigations Mass spectrometry imaging and profiling Throughout the book, detailed examples underscore the growing role of mass spectrometry throughout the drug discovery and development process. In addition, images of mass spectra are provided to explain how results are interpreted. Extensive references at the end of each chapter guide readers to the primary literature in the field. Mass Spectrometry for Drug Discovery and Drug Development is recommended for readers in pharmaceutics, including medicinal chemists, analytical chemists, and drug metabolism scientists. All readers will discover how mass spectrometry can streamline and advance new drug discovery and development efforts.