Pre-Enrollment

25th May 2026

Final Paper Submission

30th May 2026

Registration Deadline

9th June`2026

Conference Date

24th Jun - 25th Jun 2026

Call for Papers

The International Conference on AI and Machine Learning for Big Data Analytics invites researchers, academicians, industry experts, and practitioners to submit original and high-quality research contributions. This conference serves as a global platform for presenting innovative ideas, exchanging knowledge, and fostering interdisciplinary collaboration.

Focusing on key research areas such as Artificial Intelligence,Data Science,Machine Learning, the conference aims to bridge theoretical advancements with real-world applications.

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

01
Big Data Analytics In Healthcare
02
Machine Learning Applications In Medicine
03
Predictive Modeling For Patient Outcomes
04
Data Privacy And Security In Healthcare
05
Ai-driven Decision Support Systems
06
Natural Language Processing In Healthcare
07
Real-time Data Analytics In Hospitals
08
Challenges In Big Data Integration
09
Ethics Of Ai In Healthcare
10
Machine Learning For Disease Prediction
11
Data Visualization Techniques In Healthcare
12
Impact Of Ai On Healthcare Delivery
13
Interoperability Of Healthcare Data Systems
14
Patient Data Management And Analytics
15
Ai In Personalized Medicine Approaches
16
Healthcare Analytics For Population Health
17
Machine Learning In Clinical Research
18
Data-driven Strategies For Health Improvement
19
Ai Applications In Medical Imaging
20
Future Trends In Big Data Analytics
Conference Registration

To confirm your participation and secure your presentation slot, authors of accepted papers must complete the registration. Early registration is highly recommended to enjoy discounted fees.

Register Now to Confirm Participation
Publication & Submission

Present your findings to a global audience. All accepted papers are eligible for publication in ISER-affiliated journals and conference proceedings, providing you with maximum academic visibility.

Submit Your Paper for Review