Highlights•Blockchain can transform the way drugs are discovered, developed,
manufactured, distributed, used, and disposed of.•Scalability, standards, and regulations are …

Data integrity (DI) reaffirms the pharmaceutical industry's commitment to manufacture drugs
that are safe, effective and fulfil quality standards. At the same time, DI is a crucial tool for …

The Big Data-driven economy has emerged, and data is known as the new petroleum of the
current century. Big Data (BD) analytics can play an essential role in building a self …

Purpose This paper analyses the feasibility of tracking data originality for pharmaceutical
manufacturing in a tamper-proof manner using a geographically distributed system. The …

Multi-service networks aim to efficiently supply distinct goods within the same infrastructure
by relying on a (typically centralised) authority to manage and coordinate their differential …

In the logistic chain domain, the traceability of shipments in their entire delivery process from
the shipper to the consignee involves many stakeholders. From the traceability data …

The availability of large amounts of data in combination with Big Data analytics has
transformed many application domains. In this paper, we provide insights into how the area …

The plethora of available data in various manufacturing facilities has boosted the adoption of
various data analytics methods, which are tailored to a wide range of operations and tasks …

The purpose of this paper is to propose a novel hybrid framework for evaluating and
benchmarking trustworthy artificial intelligence (AI) applications in healthcare by using multi …

In the pharmaceutical industry, it is essential to ensure the safety and efficacy of medicinal
products. Therefore a robust quality assurance framework is needed. This manuscript …