Hybrid Conference (In Person / Virtual)

International Conference on AI and Data Science in Computational Biology (ICAIDSCB - 27)
12th - 13th April 2027 , Ottawa, Canada
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Conference Notifications:

"Be sure to check this section regularly for all IIRD Global Conference updates. We’ll keep you informed about deadlines, event details, and more important notifications."

  • Abstract Submissions Open:
    "We are now accepting abstract submissions for the IIRD Global Conference in Ottawa. Submit your abstract by today to be part of this exciting international event." Call for Abstracts – Submit Now!
  • Paper Submission Guidelines:
    "Please ensure your paper follows the submission guidelines for smooth processing. Visit our paper submission page for more details."
  • Peer Review Process:
    "The peer review process will begin soon. Authors will receive valuable feedback that will help enhance their presentations for the Ottawa conference."
  • Networking with Global Experts:
    "Join global experts at our conference in Ottawa and engage in meaningful conversations. Build relationships that last." Register now to join!
  • Best Paper Presentation Award:
    Dr. Shatha Hawarna from Hamdan Bin Mohammed Smart University received the Best Paper Presentation Award at (ICBAI-25) in Bangkok, Thailand.
  • SDG-Inspired Conference Focus:
    "The conference will explore themes related to sustainability and inclusive development, with an emphasis on research that contributes to global well-being."

Call For Papers

The ICAIDSCB provides a supportive platform for both experienced researchers and early-career academicians to present their work and gain recognition.

The conference covers diverse topics such as Artificial Intelligence, Data Science, Bioinformatics, encouraging participation from emerging researchers and fostering academic growth.

Authors are invited to submit papers addressing, but not limited to, the following areas:

01
Data science techniques in computational biology
02
AI applications in biological data analysis
03
Statistical models for biological data interpretation
04
Machine learning in genomics and proteomics
05
Computational methods for systems biology
06
AI-driven approaches for disease modeling
07
Bioinformatics tools for data visualization
08
Integration of AI in clinical research
09
Predictive analytics in personalized medicine
10
Data mining in biological databases
11
AI for understanding complex biological systems
12
Ethical issues in computational biology
13
AI applications in evolutionary biology
14
Real-world applications of data science
15
Collaborative research in computational biology
16
Future trends in AI and data science
17
AI for drug repurposing and discovery
18
Computational tools for microbiome analysis
19
AI in environmental and ecological studies
20
Case studies in AI and computational biology

Assessment

Submissions will be reviewed to ensure quality and relevance, with a focus on encouraging emerging research contributions. Accepted papers will be presented and considered for publication opportunities.

Registration

Early-career researchers are encouraged to register and present their work, gaining valuable feedback and academic exposure.

Publication

The conference provides opportunities for emerging researchers to publish their work in recognized platforms.

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