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ABOUT THE CONFERENCE

The AI-Driven Drug Repurposing Conference (AIDR2026) brings together leading scientists, researchers, students, and industry professionals to explore how Artificial Intelligence (AI) can transform drug discovery and healthcare — particularly in resource-limited settings.

Drug repurposing focuses on finding new uses for existing medicines, offering a faster and more cost-effective route to treatments. With the integration of AI, this process is now revolutionizing how we identify, test, and validate new therapeutic opportunities.

AIDR2026 will showcase cutting-edge research, foster collaboration, and empower the next generation of Nigerian scientists to lead breakthroughs at the intersection of AI and medicine.

PROGRAMME OVERVIEW

Day 1 — Wednesday, 4th March 2026
  • Registration
  • Workshop 1: In Silico Drug Repurposing & Molecular Docking
  • Workshop 2: Large Language Models as Catalysts for Active Learning in the Digital Age
  • Welcome Reception

Day 2 & 3 — Thursday and Friday, 5th–6th March 2026

  • Opening Ceremony & Keynotes
  • Plenary Sessions
  • Oral & Poster Presentations
  • Panel Discussion
  • Coffee with an Expert: Small-group mentoring with senior researchers
  • Careers Talk with a Mentor: Navigating global research and industry opportunities
  • Interactive Session: AI Tools for Research

  • Fireside Chat & Mentorship Café

  • Awards & Closing Ceremony

KEYNOTE AND PLENARY TOPICS

  • AI Tools for Research
  • Creating Safe Spaces and Stronger Pathways for Women in Science
  • Fast-Tracking Affordable Cancer Treatments Using AI — Eric Rodriguez (Reboot Rx, Boston, USA)
  • Ethical, Legal, and Regulatory Issues in AI-Powered Drug Development
  • Building Collaborative Research Across Borders: Case Studies from the Diaspora
  • How Do We Train the Next Generation of Scientists in AI?
  • AI in Drug Discovery: Global Trends and Local Relevance
  • Funding Opportunities for Drug Repurposing Research

CALL FOR ABSTRACTS

Researchers are invited to submit abstracts related to AI, drug discovery, and computational pharmacology.

Themes include:

– AI and Machine Learning in Drug Discovery

– Generative Artificial Intelligence

– Computational Pharmacology and Bioinformatics

– Molecular and Biochemical Approaches in Therapeutics

– Ethical, Legal, and Regulatory Issues in AI Research

– Collaborative Innovation and Capacity Building in Health Sciences

Submission Deadline: 31st December, 2025

Abstract format:

  • Word limit: 300 words
  • Structure: Title, Authors, Background, Methods, Results, Conclusion, Keywords
  • File type: Microsoft Word (.doc/.docx)
  • Font: Times New Roman, 12pt, single spacing
  • Presentation Type: Oral or Poster

Submit via

Abstract Submission Form

REGISTRATION

Register Here

Early Registration (until 31st January, 2026)

– Undergraduates: ₦10,000

– Postgraduate Students: ₦20,000

– Early Career Researchers / Professionals: ₦25,000

Late Registration (after 31st January, 2026)

-Undergraduates: ₦20,000

– Postgraduate Students: ₦30,000

– Early Career Researchers / Professionals: ₦35,000

(Fees include access to all sessions, workshop materials, refreshments, and conference kits.)

TRAVEL GRANTS

Travel support (up to ₦150,000) is available for Early Career Members of the British Pharmacology Society to cover registration, transport, or accommodation.
Undergraduates may also apply, though funding is limited. Reimbursements are issued post-conference upon submission of valid receipts.

Deadline: 9th December, 2025

Apply here:

Travel Grant Form

IMPORTANT DATES

  • Travel Grant Application Deadline: 9th December, 2025
  • Abstract Submission Deadline: 31st December, 2025
  • Notification of Abstract Acceptance: 15th January, 2026
  • Early Registration Deadline: 31st January, 2026
  • Conference Dates: 4th–6th March, 2026

PAYMENT METHOD

  • Payment should be made to:
  • Account number: 0892767932
  • Bank Name: Guarantee Trust Bank
  • Account Name: Pharmafluence Edu Adv Network (PEAN)

CONTACT & UPDATES

Email: aidr2026@kasu.edu.ng

Phone: 0816 123 3113

Follow Updates: #AIDR2026