Published on: June 26, 2026
The School of Pharmaceutical Sciences, Swami Rama Himalayan University, in association with the Indian Pharmaceutical Association (IPA), Uttarakhand State Branch and the Association of Pharmaceutical Teachers of India (APTI), Uttarakhand State Branch, in collaboration with the School of Science and Technology, successfully inaugurated the Five-Day Faculty Development Programme (FDP) titled “Faculty Empowerment – An Introduction to AI and ML for Pharmacy Teachers” on 26th June 2026.
The programme commenced with the Welcome of the Gathering, followed by the traditional Lamp Lighting Ceremony, symbolizing the pursuit of knowledge and enlightenment. The keynote speaker, Dr. Prashant Kharkar, was warmly welcomed with a sapling, representing sustainability, growth, and a commitment to nurturing future innovations.
The welcome address by Prof. (Dr.) Preeti Kothiyal Dean, School of Pharmaceutical Sciences emphasized the importance of knowledge sharing, becoming technologically proficient, and embracing emerging digital tools to meet the evolving expectations of pharmacy education and healthcare. Participants were encouraged to continuously upgrade their skills and remain adaptable in the era of Artificial Intelligence.
The Hon’ble Vice-Chancellor delivered an inspiring address highlighting that “Humour is the precursor of creativity.” He encouraged faculty members to remain connected with reality, make informed decisions, and pursue innovation with patience and perseverance. Explaining the RIO Model, he illustrated how long-term investments often require enduring initial setbacks before yielding substantial success. Drawing parallels with clinical trials, research, and innovation, he emphasized that sustained effort and strategic thinking are essential for meaningful scientific contributions.
The inaugural session concluded with a heartfelt Vote of Thanks delivered by Prof. (Dr.) Pramod Kumar, who expressed sincere gratitude to the Hon’ble Vice-Chancellor, the keynote speaker Dr. Prashant Kharkar, distinguished guests, collaborating organizations, faculty members, participants, and the organizing committee for their invaluable support in making the inauguration a grand success.
The programme concluded with the rendition of the National Anthem, followed by a group photograph of the dignitaries, resource person, faculty members, and participants, capturing the memorable beginning of the Faculty Development Programme. A tea break provided an opportunity for networking and interaction among the attendees.
The afternoon commenced with the Technical Session was delivered by Dr. Prashant Kharkar, a distinguished pharmaceutical scientist from Department of Pharmaceutical Sciences Institute of Chemical Technology, Mumbai on the topic “Artificial Intelligence and Machine Learning for Pharmacy Educators and Knowledge Providers: Opportunities, Challenges, and the Way Forward”. He began by expressing his appreciation for the vibrant campus environment and shared his inspiring professional journey, recalling how his dream of discovering a new drug shaped his career. He motivated participants to remain positive, follow their passion, and contribute actively to the scientific community.
Dr. Kharkar highlighted that pharmacy education is entering an AI-augmented era, where Artificial Intelligence and Machine Learning are transforming teaching, research, and pharmaceutical practice. He discussed AI applications across drug discovery, clinical development, pharmacovigilance, regulatory sciences, digital pharmaceutics, therapeutic drug monitoring, and clinical pharmacy. He emphasized that future pharmacy professionals must develop competencies in data science, automation, and AI-assisted decision-making to meet industry expectations.
The session also introduced the fundamentals of Artificial Intelligence, Machine Learning, and Generative AI, explaining how AI systems learn from data and support evidence-based decision-making. Participants were introduced to practical AI applications in academia, including developing lesson plans, creating course outlines, designing case studies, preparing MCQs, quizzes, viva questions, counselling scenarios, and troubleshooting exercises. AI-powered platforms such as DARVI AI were also demonstrated for generating clinical case scenarios and enhancing pharmacy education.
The inaugural day concluded with an engaging interaction between the resource person and participants. The session provided valuable insights into the integration of Artificial Intelligence in pharmaceutical education and practice, inspiring educators to embrace technology while fostering innovation, critical thinking, and lifelong learning. The successful commencement of the programme laid a strong foundation for the upcoming technical sessions scheduled over the next four days.
Hands-on Session I: Introduction to AI & ML Tools for Pharmacy Practice
Following the keynote address, participants engaged in Hands-on Session I on “Introduction to AI & ML Tools for Pharmacy Practice.” The interactive session provided practical exposure to the use of Artificial Intelligence tools in pharmacy education, research, and clinical practice.
The session commenced with Module 1, introducing participants to AI-powered conversational platforms such as ChatGPT and Gemini, demonstrating their applications in addressing pharmacy-related queries and supporting teaching and learning activities.
In Module 2, participants explored the use of AI for drug information retrieval and summarization, learning how AI tools can rapidly extract, organize, and present evidence-based pharmaceutical information to support clinical decision-making.
Module 3 focused on AI-assisted literature searching, where participants were introduced to advanced platforms such as PubMed AI and Semantic Scholar for efficient retrieval, filtering, and summarization of scientific literature, thereby enhancing research productivity.
A practical Hands-on Exercise enabled participants to utilize AI chatbots to generate patient counselling scripts for various disease conditions and medications. The activity highlighted the potential of AI in improving patient communication while emphasizing the importance of professional validation of AI-generated content.
The session concluded with a Group Activity, during which participants compared AI-generated responses with conventional drug reference resources. The exercise encouraged critical evaluation of AI outputs, emphasizing their accuracy, relevance, reliability, and limitations in pharmaceutical practice.
The hands-on session was highly interactive and well received by the participants, equipping them with practical skills to effectively integrate AI tools into teaching, research, and pharmacy practice while promoting responsible and evidence-based use of Artificial Intelligence.