This book provides deep insight into key technologies that will modernize pharmaceutical manufacturing and facilitate digital transformation. Throughout the book we discuss technologies, application and challenges for applying digital technology in pharmaceutical industry, including Focus on an overview of Industry 4.0 and its application in the pharmaceutical field The most recent advances in the pharmaceutical industry Understanding the concepts of emerging technology trends for drug discovery. The pharmaceutical industry is on the cusp of a new age, with the need for personalized therapy, more complex production processes, smaller batch sizes and rising manufacturing costs. It is necessary to continuously adapt to the rapidly changing environment using novel technology and improved operational efficiency and flexibility. To achieve this, intelligent manufacturing seems to be a definite answer. Pharma 4.0 is a framework for adapting digital strategies to the unique contexts of pharmaceutical manufacturing.

Nowadays, raw biological data can be easily stored as databases in computers but extracting the required information is the real challenge for researchers. For this reason, bioinformatics tools perform a vital role in extracting and analyzing information from databases. Bioinformatics Tools and Big Data Analytics for Patient describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery for patient care. The book gives details about the recent developments in the fields of artificial intelligence, cloud computing, and data analytics. It highlights the advances in computational techniques used to perform intelligent medical tasks. Features: Presents recent developments in the fields of artificial intelligence, cloud computing, and data analytics for improved patient care. Describes the applications of bioinformatics, data management, and computational techniques in clinical studies and drug discovery. Summarizes several strategies, analyses, and optimization methods for patient healthcare. Focuses on drug discovery and development by cloud computing and data-driven research The targeted audience comprises academics, research scholars, healthcare professionals, hospital managers, pharmaceutical chemists, the biomedical industry, software engineers, and IT professionals.

This book highlights the role of Biomedical Engineering (BME) used in diagnosis (e.g., body scanners) and treatment (radiation therapy and minimal access surgery in order to prevent various diseases). In recent years, an important progress has been made in the expansion of biomedical microdevices which has a major role in diagnosis and therapy of cancer. When fighting cancer, efficacy and speed are of the utmost importance. A recently developed microfluidic chip has enabled a breakthrough in testing the efficacy of specialized cancer drugs. Effective cancer-targeting therapies will require both passive and active targeting strategies and a thorough understanding of physiologic barriers to targeted drug delivery. Targeted cancer treatments in development and the new combinatorial approaches show promise for improving targeted anticancer drug delivery and improving treatment outcomes. This book discusses the advancements and innovations in the field of BME that improve the diagnosis and treatment of cancer. This book is focused on bioengineering approaches to improve targeted delivery for cancer therapeutics, which include particles, targeting moieties, and stimuli-responsive drug release mechanisms. This book is a useful resource for students, researchers, and professionals in BME and medicine.

Blockchain is a type of distributed ledger technology that consists of a growing list of records that are securely linked together using cryptography and numerous applications in every field, including healthcare. Blockchain for Healthcare 4.0: Technology, Challenges, and Applications presents an overview of the recent advances in blockchain technology which have led to new breakthroughs in the healthcare industry, the application of artificial intelligence (AI) with blockchain, challenges, and prospects. Key Features: • Highlights blockchain applications in the biomedical and pharmaceutical industries, and remote healthcare. • Discusses applications and advancement in blockchain framework to track diseases and outbreaks. • Elaborates the role of blockchain in managing health records, tracing, and securing medical supplies. • Focuses on efficient and secure medical data sharing through blockchain, and secure cloud-based electronic health record (EHR) a system using an attribute-based cryptosystem. • Presents techniques and methods to utilize blockchain technology for clinical studies and facilitates the transition to patient-driven interoperability. The text is primarily written for graduate students, and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.