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 examined the differences in recall practices for over- the counter (OTC) pain relievers in Ireland and India, focusing on quality related issues, regulatory enforcement and recall outcomes. With increasing reliance on OTC medications such as paracetamol and ibuprofen for self-medication, ensuring drug quality and safety is paramount. The study explores the differences between Ireland’s centralised, EU-aligned regulatory model governed by the Health Products Regulatory Authority (HPRA) and India’s decentralised recall system under the Central Drugs Standard Control Organisation (CDSCO). Using a mixed-methods approach, recall data from the past 2 years were analysed alongside expert interviews to categorise recall causes and evaluate the effectiveness of recall systems. It was shown that Ireland’s centralised, Eu aligned recall framework enables quicker and more transparent recall execution compared to India’s decentralised and inconsistently enforced system. Contamination and mislabelling were identified as the leading causes of recalls, with India exhibiting a higher frequency of such events due to weaker post-marketing surveillance and inadequate regulatory infrastructure. The findings revealed significant gaps in recall tracking and consumer notification in India, while Ireland faced challenges related to Eu coordination delays. The analysis highlighted that despite regulatory progress in both countries, key gaps persist in recall traceability, communication and stakeholder compliance. India’s fragmented recall structure hampers timely action while Ireland reliance on EU coordination can create inter-agency delays. The conclusions drawn from these findings suggest that regulatory efficiency, digital traceability and public communication are critical in safeguarding patient safety. This dissertation concludes that effective recall management requires strategic reforms tailored to each country’s regulatory landscape. enforcement consistency and public communication. Strategic recommendations were proposed, including the implementation of centralised recall database in India, adoption of digital traceability systems, greater consumer education efforts and greater alignment with global best practices. These measures are essential for reducing the occurrence and impact of substandard OTC pain relievers and tom restore public trust in pharmaceutical quality control. The study underscores the need for harmonised international best practices to improve drug safety and protect public health.
“Pharmacogenomic Methods Driven by AI for Tailored Antidepressant Therapy: Increasing Treatment Effectiveness and Mitigating Side Effects” by Soorya Kanath Sudeer Kumar
Artificial intelligence (AI) is rapidly revolutionizing mental health by improving pharmacogenomic techniques to provide more personalized antidepressant medication. This dissertation looks at how AI-driven pharmacogenomics is observed, accepted, and applied in healthcare settings in India and Europe. The study’s goal is to analyse the present state of knowledge, preparedness, and ethical issues around AI-guided prescription, as well as identify hurdles and facilitators that impact its clinical acceptance. The study used a concurrent mixed-method approach, combining quantitative data from 105 verified survey replies with qualitative insights from six expert interviews. The survey results, which were collected from healthcare professionals, researchers, and regulatory stakeholders, were analysed using, while thematic analysis of the interviews was conducted using NVivo. The findings provide significant evidence for AI in improving antidepressant medication by minimizing trial-and-error prescription and improving treatment outcomes. 73% of all participants recognized AI’s role in boosting accuracy, and 68% agreed pharmacogenomics might personalize therapy. However, geographical differences emerged: European professionals shown more knowledge and system preparedness, whereas Indian respondents raised worries about insufficient infrastructure, a lack of specialist training, and unclear legal frameworks. Data privacy concerns, ethical uncertainty, and inadequate integration into healthcare operations were recognized as common problems across both areas. Notably, the study found that increasing familiarity with AI corresponds higher trust in its application, emphasizing the importance of focused teaching initiatives. Furthermore, the readiness of healthcare professionals-particularly early adopters in both regions-indicates that stakeholder involvement, legislative reform, and technological investment are critical for wider adoption. In conclusion, the work highlights AI-driven pharmacogenomics as a possible tool for changing antidepressant prescribing habits. Healthcare systems may speed up the adoption of personalized medicine by solving regional disparities through training, ethical measures, and infrastructure development. These findings add to global conversations about digital health transformation and highlight the importance of locally appropriate policies that combine innovation with accountability.
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