Viksit Bharat 2047
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Admissions Closing Soon for 2026-27
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30th - 31st March 2027
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Mode: Hybrid
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Kalinga University, Naya Raipur
Chhatauna, Mandirhasaud, Raipur, CG
Abhanpur, Raipur, CG
Jagdalpur, CG
The Faculty of Pharmacy at Kalinga University is deeply committed to producing highly skilled pharmacists and scientists who uphold ethical standards and are equipped to address community health needs. The emphasis on international standards, scientific research, and community service reflects a holistic approach to education and professional development. The investment in state-of-the-art laboratories demonstrates a dedication to providing students with practical, hands-on learning experiences in pharmaceutical sciences.
The conference on “AI and Translational Innovations in Pharmaceutical Sciences and Healthcare for Viksit Bharat 2047” aims to provide a dynamic platform for researchers, academicians, healthcare professionals, industry experts, and students to discuss the transformative role of Artificial Intelligence and translational research in advancing healthcare in India. The conference will focus on emerging areas such as AI-driven drug discovery, precision medicine, digital healthcare, pharmacovigilance, bioinformatics, smart drug delivery, and clinical research.
Aligned with the vision of Viksit Bharat 2047, the event seeks to encourage innovation, interdisciplinary collaboration, and sustainable healthcare solutions while addressing ethical and regulatory aspects of AI integration to build an accessible, affordable, and patient-centric healthcare system for the future.
The conference creates a multidisciplinary platform for researchers, academicians, healthcare professionals, pharmaceutical scientists, industry experts, policymakers, and students to exchange knowledge on recent advancements in Artificial Intelligence and translational research in healthcare. The conference aims:
The International Conference invites abstracts from delegates from all over the globe, including guest/invited speakers, faculty, research scholars, postgraduate and graduate students from different organisations. This conference will be a suitable forum for sharing views on the applications of AI and machine learning in drug discovery, drug design, pharmacovigilance, precision medicine, clinical decision support systems, and healthcare management. Abstracts up to 250-300 words should be prepared using Times New Roman (12pt) in a single line. The title should be in bold. The abstract should be free from plagiarism. Mention the names of the author(s), affiliation(s), and Email ID of the corresponding author. Underline the name of the presenting author. All abstracts will be published as conference proceedings with an ISBN.
Publication: All the papers will be included in the conference proceedings with an ISBN as an E-Book. A soft copy of the conference proceedings will be provided to all the participants.
Submit to: icfop@kalingauniversity.ac.in
(including but not limited to)
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