International Conference on

AI and Machine Learning in Life Science Engineering (ICAIMLLSE-26)

15th – 16th Oct 2026 | Sydney, Australia | Hybrid Mode
Proudly organized by the : Institute for Global Academic Excellence (IGAE)

Call for Papers

The International Conference on AI and Machine Learning in Life Science Engineering invites researchers, academicians, industry professionals, and practitioners to submit original and high-quality research contributions. The conference aims to provide a global platform for knowledge exchange, innovation, and collaboration across diverse research domains.

This conference focuses on emerging trends, practical challenges, and cutting-edge advancements in areas such as Life Science Engineering encouraging interdisciplinary research and innovative approaches to solving real-world problems.

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

01
AI applications in life sciences
02
Machine learning for biomedical data
03
Predictive modeling in healthcare
04
AI-driven drug discovery processes
05
Natural language processing in medicine
06
Machine learning for patient outcomes
07
AI in genomics and proteomics
08
Data mining techniques in life sciences
09
Ethics of AI in healthcare
10
AI for personalized medicine approaches
11
Deep learning in medical imaging
12
AI-enhanced clinical decision support
13
Robotics and AI in surgery
14
Machine learning algorithms for diagnostics
15
AI in public health surveillance
16
Bioinformatics and machine learning integration
17
AI for disease prediction models
18
Interdisciplinary approaches in AI research
19
Challenges in AI implementation
20
Future of AI in life science engineering
Conference Registration
  • Accepted authors must register for the conference to present their work.
  • Early registration allows you to take advantage of discounted fees.
  • Check the registration page for more details.
Publication Opportunities

Selected papers will be published in the IGAE Conference Proceedings or other journals affiliated with IGAE. Authors whose papers are accepted for publication will be notified in advance.

Event Highlights
  • Keynote sessions by experienced speakers
  • Technical paper presentations across multiple topics
  • Opportunities for academic and professional networking
  • Discussions on current research developments

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