Hybrid Conferencee

International Conference on Computational Biology and Machine Learning (ICCBML - 26)

8th - 9th October 2026 | Macau, China

10% DISCOUNT

Maximum discount capped at $30. Activate your Scholarly Discount during the payment phase to lower your final checkout amount.

REVEAL OFFER
EARLY10
Sample Abstract
Download
Conference Brochure
Sample Full Paper
Download
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 Macau. 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 Macau 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 Macau conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Macau, 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 Macau."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICCBML 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 Machine Learning, 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
Machine learning in genomics and proteomics
02
Predictive modeling in computational biology
03
Bioinformatics applications of machine learning
04
Data mining techniques for biological data
05
Machine learning for drug discovery
06
Systems biology and machine learning integration
07
Machine learning for personalized medicine
08
Challenges in biological data analysis
09
Machine learning for disease prediction
10
Genetic algorithms in computational biology
11
Machine learning for protein structure prediction
12
Ethics in computational biology research
13
Machine learning for microbiome analysis
14
Data visualization in bioinformatics
15
Machine learning in clinical trials
16
Applications of ML in epidemiology studies
17
Machine learning for agricultural biotechnology
18
Future trends in computational biology
19
Integration of AI in biological research
20
Machine learning for environmental biology