Computer science and information technology
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Role of Blockchain in Secure Digital Drug Prescriptions
The rapid evolution of digital healthcare has raised significant concerns regarding the security, privacy, and integrity of drug prescription data. Traditional prescription systems are often vulnerable to unauthorized access, fraud, and data tampering. Blockchain technology, with…
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Cybersecurity Risks in Cloud-Based Pharmaceutical Data Storage
The rapid adoption of cloud computing in the pharmaceutical industry has revolutionized data management by providing scalability, flexibility, and cost efficiency. However, this shift also exposes sensitive research, clinical, and patient data to significant cybersecurity risks.…
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Potential of AI-Driven Drug-Drug Interaction Prediction Systems
Drug–drug interactions (DDIs) continue to pose significant challenges in clinical practice and pharmacotherapy management. The emerging field of artificial intelligence (AI) offers promising tools to predict and mitigate potential adverse interactions between drugs. This study investigates…
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Scalable API Orchestration Using Reinforcement Learning in Cloud-Native Systems
— New architecture cloud solutions depend on distributed microservices which interact via Application Programming Interfaces (APIs). With large scale systems, coordinating thousands of API calls gets more and more difficult as workloads change, resources are dynamically…
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Exploring the Role of AI in Optimizing Drug Formulations
This manuscript investigates the transformative role of artificial intelligence (AI) in optimizing drug formulations, addressing challenges from traditional methods to modern computational approaches. By integrating machine learning algorithms with pharmaceutical design, the study explores the optimization…
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Impact of AI-Based Demand Forecasting on Pharmaceutical Logistics
Pharmaceutical logistics is a critical domain where the accuracy of demand forecasting directly impacts operational efficiency, supply chain resilience, and patient outcomes. With the advent of artificial intelligence (AI), forecasting methods have experienced significant improvements in…
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Artificial Intelligence in Predicting Adverse Drug Reactions for Personalized Medicine
Adverse drug reactions (ADRs) remain a major challenge in healthcare, impacting patient safety and increasing healthcare costs. Recent advances in artificial intelligence (AI) have enabled more precise prediction of ADRs by harnessing large, heterogeneous datasets and…
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Adoption of Internet of Things (IoT) in Real-Time Pharmaceutical Cold Chain Monitoring
The pharmaceutical cold chain is essential to ensure that temperature-sensitive products, such as vaccines, biologics, and certain medications, maintain their quality and efficacy from production to delivery. With increasing regulatory demands and rising market complexity, the…
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Role of Predictive Maintenance in Enhancing Pharmaceutical Production Line Efficiency
Pharmaceutical manufacturing is a high-stakes industry where uninterrupted production, product quality, and compliance with regulatory standards are critical. This manuscript investigates the role of predictive maintenance (PdM) in enhancing production line efficiency within the pharmaceutical sector.…
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Exploring the Role of AI in Pharmacovigilance for Early Detection of Adverse Drug Reactions
Pharmacovigilance—the process of detecting, assessing, understanding, and preventing adverse effects related to drugs—has long been a critical aspect of public health and clinical safety. In recent years, Artificial Intelligence (AI) has emerged as a promising tool…