Hybrid Conferencee

International Conference on Personalized Medicine using Machine Learning (ICPMML - 26)

3rd - 4th August 2026 | London, UK

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

Call for Paper

The ICPMML 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 for personalized treatment plans
02
Predictive analytics in healthcare outcomes
03
AI in genomics and personalized medicine
04
Patient data privacy and security issues
05
Machine learning for drug discovery
06
Clinical decision support systems using AI
07
Telemedicine and machine learning applications
08
Wearable technology and health monitoring
09
Machine learning for chronic disease management
10
Ethical considerations in personalized medicine
11
AI for patient engagement and adherence
12
Healthcare data integration and analysis
13
Machine learning in medical imaging
14
Real-time health monitoring systems
15
AI for health disparities and equity
16
Personalized nutrition and lifestyle recommendations
17
Future trends in healthcare AI technologies
18
Collaborative care models using machine learning
19
Impact of AI on healthcare delivery
20
Interdisciplinary research in personalized medicine