ABOUT CONFERENCE

The pharmaceutical industry stands at the cusp of a transformative era, where Artificial Intelligence (AI) is no longer a distant concept but an essential driver of innovation, efficiency, and precision. From accelerating drug discovery and optimizing clinical trials to enhancing manufacturing processes and strengthening pharmacovigilance, AI is redefining the boundaries of what is possible in healthcare.

This conference will bridge the gap between academia, industry, technology innovators, and policymakers. It will create an engaging platform for knowledge exchange, collaborative ideation, Innovation showcase and skill enhancement in this rapidly evolving field.

CONFERENCE OBJECTIVES :

  • Explore the advancements in AI applications across the pharmaceutical value chain.
  • Foster collaboration between academia, industry, and technology providers to accelerate innovation.
  • Enhance academic curricula by integrating AI literacy and practical exposure for pharma faculty and students.
  • Promote responsible AI adoption ensuring ethical, transparent, and regulatory-compliant practices.
  • Create a knowledge repository for sustainable AI-driven solutions in drug discovery, diagnostics, manufacturing, and safety.

CONFERENCE HIGHLIGHTS:

  • Plenary Sessions by Global Experts on Cutting-Edge Al Applications: Showcasing real-world use cases in drug discovery/ clinical trials/ pharmacovigilance/ supply chain/ patient-centric care/digital twins/ Watson.
  • Preconference Interactive Workshops: Hands-on training on Al tools, machine learning algorithms, and data analytics platforms for pharma professionals.
  • Panel Discussions by Academicians & Industry Experts: Insightful sessions by leading Al researchers, pharmaceutical scientists, regulatory authorities, and industry pioneers.
  • Networking Opportunities: Meet and collaborate with delegates from academia, industry, healthcare, and government bodies.
  • Scientific Sessions: Invited talks/Oral/ Poster Presentations- Platform for researchers and students to present innovative Al-pharma projects and get expert feedback.

WHY TO ATTEND:

Attendees Will:
  • Gain first-hand insights from leaders, innovators and practitioners driving Al adoption in Pharma.
  • Identify research and career opportunities at the Al-pharma interface.
  • Understand cutting-edge Al tools, case studies, and success models from research labs and industry.
  • Build cross-disciplinary networks connecting scientists, engineers, healthcare professionals,and policy experts.

EXPECTED OUTCOMES:

  • Actionable insights and collaborative frameworks for AI adoption in pharmaceutical research and practice.
  • Research collaborations and academic–industry partnerships for technology transfer and joint projects.
  • Capacity building among students and faculty to engage with AI-powered tools and methodologies.
  • Policy and curriculum recommendations to embed AI competencies in pharmaceutical education.
  • Strengthened innovation ecosystem enabling start-ups and research ventures to thrive.