Computer science and information technology
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Ethical Implications of AI-Based Decision Support in Dispensing High-Risk Medications
Artificial intelligence (AI)–based decision support systems (DSS) are increasingly embedded in pharmacy workflows to flag contraindications, calculate individualized doses, and prioritize clinical interventions, especially for high-risk medications such as anticoagulants, chemotherapeutic agents, insulin, and opioids. While…
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Leveraging Big Data Analytics for Personalized Medication Adherence Strategies
Medication non-adherence remains one of the costliest and most complex challenges in contemporary health systems, leading to avoidable hospitalizations, therapeutic failures, antimicrobial resistance, and inflated insurance premiums. Traditional one-size-fits-all reminder systems and counseling sessions often underperform…
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AI-Driven Inventory Optimization in Hospital Pharmacies: A Predictive Management Approach
Artificial intelligence (AI) and machine learning (ML) are redefining how hospital pharmacies plan, procure, store, and dispense medicines. Inventory misalignment—either stock-outs of essential drugs or costly overstocking of slow-moving items—directly threatens patient safety and financial sustainability.…
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Blockchain-Enabled Drug Traceability Systems: Implications for Pharmacy Supply Chain Transparency
Counterfeit, diverted, and substandard medicines continue to undermine patient safety, public trust, and economic sustainability across global pharmaceutical supply chains. Blockchain—characterized by distributed consensus, immutability, programmability (via smart contracts), and cryptographic auditability—has been heralded as a…
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Development of AI-Assisted Pharmacokinetic Models for Drug Dosing Optimization
Pharmacokinetics (PK) plays a pivotal role in drug development and clinical dosing regimens. Traditional models often depend on population averages and fixed parameters, which may not account for inter‐ and intra‐patient variability. Recent advances in artificial…
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Applications of AI in Media Planning and Media Buying
The integration of Artificial Intelligence (AI) in media planning and media buying has revolutionized how brands allocate budgets and optimize advertising strategies. AI-driven technologies, including machine learning, predictive analytics, and automation, enhance efficiency by processing vast…
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Reducing Latency in Proactive Violation Detection Systems for Advertising Platforms
In the fast-evolving digital advertising ecosystem, proactive violation detection systems play a critical role in identifying and mitigating fraudulent activities, policy violations, and inappropriate content before it reaches the end-users. One of the key challenges in…
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AI-Enhanced RAN Performance Optimization in Open RAN Ecosystems
The advent of Open Radio Access Networks (Open RAN) has revolutionized the telecommunications industry by offering a flexible, interoperable, and cost-effective alternative to traditional RAN architectures. However, the complexity of managing Open RAN ecosystems, with diverse…
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Integrating AI in DevOps and Cloud for Predictive Analytics and Workflow Optimization
The integration of Artificial Intelligence in DevOps and cloud computing is going to change the face of traditional development and operations practices because of its ability to enhance predictive analytics and workflow optimization. AI-driven predictive analytics…
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Runtime Hardware Abstraction Layers for Elastic Resource Pooling
In modern cloud computing environments, elastic resource pooling has been widely adopted to meet the demand for scalable, efficient, and cost-effective systems. In achieving this flexibility, the concept of a Runtime Hardware Abstraction Layer (rHAL) plays…