A systematic review of trustworthy and explainable artificial intelligence in healthcare: Assessment of quality, bias risk, and data fusion

AS Albahri, AM Duhaim, MA Fadhel, A Alnoor… - Information …, 2023 - Elsevier
In the last few years, the trend in health care of embracing artificial intelligence (AI) has
dramatically changed the medical landscape. Medical centres have adopted AI applications …

Blockchain implementation in pharmaceutical supply chains: A review and conceptual framework

A Ghadge, M Bourlakis, S Kamble… - International Journal of …, 2023 - Taylor & Francis
Research on Blockchain implementation in the Pharmaceutical Supply Chains (PSC) is
lacking despite its strong potential to overcome conventional supply chain challenges. Thus …

Blockchain from the information systems perspective: Literature review, synthesis, and directions for future research

CF Lei, EWT Ngai - Information & Management, 2023 - Elsevier
This paper profiled blockchain studies in information systems (IS) journals from 2016 to
2022. Drawing on the 443 selected articles from 77 IS journals, we proposed a classification …

Assessing the critical success factors for implementing industry 4.0 in the pharmaceutical industry: implications for supply chain sustainability in emerging economies

B Debnath, MS Shakur, ABMM Bari, J Saha, WA Porna… - Plos one, 2023 - journals.plos.org
The emerging technologies of Industry 4.0 (I4. 0) are crucial to incorporating agility,
sustainability, smartness, and competitiveness in the business model, enabling long-term …

Data integrity issues in pharmaceutical industry: Common observations, challenges and mitigations strategies

NA Charoo, MA Khan, Z Rahman - International journal of pharmaceutics, 2023 - Elsevier
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 …

Tracing drugs from discovery to disposal

H Omidian, J Razmara, S Parvizpour, H Tabrizchi… - Drug Discovery …, 2023 - Elsevier
Highlights•Blockchain can transform the way drugs are discovered, developed,
manufactured, distributed, used, and disposed of.•Scalability, standards, and regulations are …

Blockchain for data originality in pharma manufacturing

M Durá, F Leal, Á Sánchez-García, C Sáez… - Journal of …, 2023 - Springer
Purpose This paper analyses the feasibility of tracking data originality for pharmaceutical
manufacturing in a tamper-proof manner using a geographically distributed system. The …

A federated learning framework for enforcing traceability in manufacturing processes

I Kavasidis, E Lallas, G Mountzouris… - IEEE …, 2023 - ieeexplore.ieee.org
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 …

[HTML][HTML] Impact of GAMP 5, data integrity and QbD on quality assurance in the pharmaceutical industry: How obvious is it?

F Pedro, F Veiga, F Mascarenhas-Melo - Drug Discovery Today, 2023 - Elsevier
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 …

[HTML][HTML] Janus: Toward preventing counterfeits in supply chains utilizing a multi-quorum blockchain

V Crossland, C Dellwo, G Bashar… - Blockchain: Research and …, 2023 - Elsevier
The modern pharmaceutical supply chain lacks transparency and traceability, resulting in
alarming rates of counterfeit products entering the market. These illegitimate products cause …