Hybrid Conferencee

International Conference on Machine Learning for Healthcare Analytics (ICMLHA - 26)

20th - 21st October 2026 | Madrid, Spain

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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 Madrid. 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 Madrid 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 Madrid conference. Build collaborations and gain insights from leading experts."
Keynote Speaker Sessions:
"Don’t miss our Keynote Sessions in Madrid, 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 Madrid."
SDG-Inspired Conference Focus:
"Our conference will highlight research that addresses global sustainability, inclusive education, and solutions for environmental challenges."

Call for Paper

The ICMLHA 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,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 for predictive healthcare analytics
02
AI applications in medical imaging analysis
03
Data science for patient outcome prediction
04
AI-driven personalized medicine approaches
05
Natural language processing in clinical data
06
Machine learning for drug discovery processes
07
AI in telemedicine and remote monitoring
08
Data privacy and ethics in healthcare AI
09
AI for optimizing hospital resource management
10
Predictive analytics for disease outbreak detection
11
AI applications in mental health assessment
12
Data-driven approaches to health policy analysis
13
Machine learning for genomics and precision medicine
14
AI in chronic disease management solutions
15
Healthcare data visualization techniques
16
AI for enhancing patient engagement strategies
17
Data science for healthcare cost reduction
18
AI in surgical robotics and automation
19
Machine learning for wearable health technology
20
Future directions in healthcare AI research