About the AI in Cancer Research and Drug Development Session
AI is becoming a cornerstone in cancer research and drug development, streamlining the process of discovering new treatments. Machine learning models can analyze vast amounts of molecular and clinical data, helping researchers identify promising drug candidates and predict their efficacy. By simulating how different compounds interact with cancer cells, AI can expedite the identification of therapeutic targets. This accelerates the drug development pipeline, potentially bringing effective treatments to market more quickly. As AI continues to evolve, its role in uncovering innovative cancer therapies will only increase, shaping the future of cancer research.
Topics Covered in AI in Cancer Research and Drug Development
Virtual Compound Screening
Protein Structure Prediction
Generative Molecular Design
Target Discovery
Toxicity Prediction
Trial Patient Matching
Related Scientific Sessions at CIOC 2027
Why Attend the AI in Cancer Research and Drug Development Conference 2027
Earn CPD Credit
Sessions are CPD-accredited; certificates issued to every registered delegate within two weeks of the conference.
Present Your Research
Oral and poster slots for original AI in Cancer Research and Drug Development work, reviewed by the scientific committee.
Network Globally
Meet oncologists, cancer researchers, and clinical specialists from around the world across three days.
Publish & Get Indexed
Accepted abstracts appear in the indexed conference proceedings with a citable DOI.
Learn from Keynotes
Plenary lectures from leading voices shaping AI in Cancer Research and Drug Development research and practice.
Hybrid Flexibility
Attend in person in Singapore or join virtually — same programme, same certificate.
Join CIOC 2027 for the AI in Cancer Research and Drug Development track
Oral and poster slots for your work — in person in Singapore or online. Not presenting? Attend as a delegate to learn from the field.
AI in Cancer Research and Drug Development Conference 2027 — FAQs
What is the AI in Cancer Research and Drug Development track at CIOC 2027?
The AI in Cancer Research and Drug Development track is a dedicated stream within CIOC 2027 covering the latest research, clinical innovation, and best practice in AI in Cancer Research and Drug Development. It brings together researchers, educators, and practitioners for oral presentations, posters, and discussion.
Who should attend the AI in Cancer Research and Drug Development sessions?
Cancer researchers and clinicians, educators and students with an interest in AI in Cancer Research and Drug Development are all welcome — whether presenting or attending.
Can I present my research in the AI in Cancer Research and Drug Development track?
Yes. Submit an abstract for oral or poster presentation. All submissions are peer-reviewed by the scientific committee; accepted abstracts appear in the indexed proceedings.
Is virtual attendance available for AI in Cancer Research and Drug Development sessions?
Yes. CIOC 2027 is a hybrid conference — attend the AI in Cancer Research and Drug Development track in person in Singapore or join live online, with on-demand access afterward.
Join the CIOC 2027 delegation
Singapore · March 15–17, 2027· Hybrid · in-person & virtual
Attend without presenting.