National Workshop on Data Analytics and AI, SIRTS-Pharmacy, Bhopal
Title: Data Analytics and AI in Pharmaceutical Research
Organized by: Sagar Institute of Research Technology and Science – Pharmacy (SIRTS-P), Bhopal
Sponsored by: Madhya Pradesh Council of Science and Technology (MPCST)
Workshop Theme: Intelligent Pharmaceuticals: Data Analytics and AI Across Drug Life Cycle
Resource Person: Mr. Roshan Singh, Founder – Scrollwell | Innovation Ambassador (MoE)
Date: March 17, 2026
Mode: Offline
Venue: SIRTS-Pharmacy, Bhopal
As part of the MPCST Sponsored One-Week National Workshop on “Intelligent Pharmaceuticals: Data Analytics and AI Across Drug Life Cycle”, a session on Data Analytics and AI in Pharmaceutical Research was conducted on March 17, 2026, at SIRTS-Pharmacy, Bhopal.
The session aimed to introduce participants to the growing role of data analytics and artificial intelligence in pharmaceutical research. It focused on how data-driven approaches can improve research quality, decision-making, and innovation across the drug development process.
Event Highlights
The session was delivered by Mr. Roshan Singh, who shared practical insights into the application of AI and data analytics in pharmaceutical research. He explained key concepts in a clear and structured manner, making them easy to understand for participants from diverse academic backgrounds.
In addition, the session demonstrated how AI tools handle complex datasets and identify patterns. It also showed how predictive analysis supports research workflows. Therefore, participants understood the importance of data-driven models in pharmaceutical R&D.
Moreover, the session remained highly interactive. Participants asked questions and engaged in discussions throughout. This approach significantly improved the learning experience.
Participation Details
The session witnessed active participation from students, faculty members, and researchers attending the national workshop. The hybrid mode enabled wider accessibility while maintaining strong engagement during the session.
Additionally, engagement levels remained high during the session. The Q&A segment allowed participants to seek practical guidance. Many attendees asked about integrating AI tools into their research. Some also showed interest in exploring Scrollwell’s offerings.
Outcomes
Participants gained a comprehensive understanding of how AI and data analytics can be meaningfully integrated across the pharmaceutical drug life cycle – from target identification and lead optimization to clinical data management and regulatory submissions.
The session specifically equipped attendees with actionable knowledge on using AI responsibly as a research assistant, enhancing both the quality and efficiency of pharmaceutical research. Participants left with improved confidence in adopting AI-driven tools and a clearer roadmap for applying these technologies within their respective roles.
Feedback
Participants appreciated the clarity, practical approach, and structured delivery of the session. Many found the real-world examples and simplified explanations particularly helpful in understanding complex concepts. Feedback collected from participants following the session was overwhelmingly positive. Attendees appreciated the practical orientation, clarity of content, and the real-world relevance of the examples shared by Mr. Roshan Singh. His ability to connect complex AI concepts with day-to-day pharmaceutical research challenges was particularly well received.
Acknowledgments
Scrollwell extends sincere gratitude to Sagar Institute of Research Technology and Science – Pharmacy (SIRTS-P), Bhopal, for providing the platform to conduct this insightful session under the MPCST-sponsored national workshop. We express our appreciation to the Madhya Pradesh Council of Science and Technology (MPCST) for supporting this academic initiative and promoting research-driven learning.
Special thanks to Mr. Roshan Singh, Founder of Scrollwell and Innovation Ambassador (MoE), for delivering a highly engaging and impactful session on Data Analytics and AI in Pharmaceutical Research.
We also thank all faculty members, students, and participants for their active participation and engagement, which contributed significantly to the success of the session.
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