Hybrid Conferencee

International Conference on AI and Computational Genomics (ICAICG - 26)

16th - 17th October 2026 | Chengdu, China

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Conference Notifications:

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

Call for Papers Extended:
"The deadline for full paper submissions has been extended for the Research Plus International Conference in Chengdu. Submit your research by today to participate in one of the top conferences."
Certificate of Presentation:
"Present your research and receive a Certificate of Presentation to recognise your valuable contribution to the conference."
Abstract Submissions Open:
"Abstract submissions for the Chengdu event are now open! Don’t miss the chance to present your research. Submit now."
Networking with Global Experts:
"Engage with researchers and professionals from around the world at the Chengdu conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Chengdu, featuring global leaders and innovators sharing their knowledge."
Best Paper & Best Paper Presentation Award:
"Submit your paper and stand a chance to win the Best Paper Presentation Award. The winner will be recognized at the conference in Chengdu."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICAICG aims to explore emerging trends and future directions in research and innovation. It provides a collaborative platform for researchers and professionals to share ideas that shape the future of their respective domains.

The conference highlights advancements in Artificial Intelligence,Data Science,Bioinformatics, encouraging innovative, solution-oriented research that addresses global challenges and technological evolution.

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

01
Computational genomics and AI integration
02
Machine learning for genomic data analysis
03
AI applications in genomic research
04
Challenges in computational genomics
05
Predictive modeling in genomics
06
Data-driven approaches to genomics
07
Ethics in computational genomics research
08
AI-enhanced genomic data interpretation
09
Future trends in computational genomics
10
Collaborative projects in genomic research
11
Real-time analysis of genomic data
12
AI techniques for variant calling
13
Data visualization in computational genomics
14
Integrative genomics and AI applications
15
Case studies in computational genomics
16
AI for personalized genomic medicine
17
Data privacy in genomic research
18
Innovations in genomic data processing
19
AI-driven insights in genomic studies
20
Applications of AI in genomics