Pharmaceutical
Here you can find some of the research conducted around Pharmaceuticals. Some of these topics include: pharmacovigilance, A.D.R.s, and more.
Medical Device
Here you can find some of the research that has been conducted during one of the courses we offer around Medical Device Technology.
Digital Transformation
Explore research on Digital Transformation from across Innopharma.
Featured Research
“Comparative Analysis of Over the Counter (OTC) Pain Reliever Recalls Due to Quality Issues: A Case Study of Ireland V/S India” by Aleena Manoj
This study compared recall practices for over-the-counter (OTC) pain relievers in Ireland and India, focusing on quality issues, regulatory enforcement, and recall outcomes. It contrasted Ireland’s centralized, EU-aligned system under the Health Products Regulatory Authority (HPRA) with India’s decentralized recall system managed by the Central Drugs Standard Control Organisation (CDSCO). Using mixed methods, including two years of recall data and expert interviews, the study found Ireland’s system enables faster, more transparent recalls, while India’s system suffers from inconsistent enforcement and weaker post-marketing surveillance. Contamination and mislabelling were the main recall causes, with India experiencing more frequent incidents due to regulatory gaps. India showed significant deficiencies in recall tracking and consumer notification, whereas Ireland faced delays linked to EU coordination. Despite progress, both countries have persistent issues in traceability, communication, and compliance. The study recommends strategic reforms such as implementing a centralized recall database in India, adopting digital traceability, enhancing consumer education, and aligning with global best practices to improve patient safety and restore trust in pharmaceutical quality control. It emphasizes the need for harmonized international standards to safeguard public health.
“Pharmacogenomic Methods Driven by AI for Tailored Antidepressant Therapy: Increasing Treatment Effectiveness and Mitigating Side Effects” by Soorya Kanath Sudeer Kumar
This dissertation examines AI-driven pharmacogenomics in antidepressant prescribing across India and Europe, focusing on knowledge, acceptance, ethical issues, and clinical application. Using a mixed-methods approach with 105 survey responses and six expert interviews, it found strong evidence that AI can reduce trial-and-error prescribing and improve outcomes. While 73% of participants acknowledged AI’s role in enhancing accuracy and 68% supported personalized therapy, European professionals showed greater knowledge and system readiness. Indian respondents expressed concerns about infrastructure, training, and legal frameworks. Common challenges included data privacy, ethical uncertainty, and poor healthcare integration. Increased AI familiarity correlated with higher trust, highlighting the need for targeted education. Early adopters’ readiness suggests that stakeholder engagement, legislative reform, and investment are key to broader adoption. The study concludes that addressing regional disparities through training, ethics, and infrastructure can accelerate personalized medicine, contributing to global digital health discussions and emphasizing locally tailored, accountable policies.
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