Artificial Intelligence Technologies for Multimodal Big Data Analysis in Breast Cancer Diagnosis and Prognosis

The academic symposium highlights core research achievements and clinical translation milestones from Kazakhstan’s national research initiative "Artificial Intelligence Technologies for Multimodal Big Data Analysis in Breast Cancer Diagnosis and Prognosis" (2024–2026). Conducted by a national consortium led by Astana IT University in partnership with the Kazakh Research Institute of Oncology and Radiology, the Salidat Kairbekova National Research Center for Health Development, the Multidisciplinary Medical Center of the Astana City, and the Institute of Genetics and Physiology, the initiative focuses on developing, validating, and deploying clinical-grade AI systems across mammography, ultrasound, DCE-MRI, CT, and histopathology (Ki-67). Backed by a clinical cohort of 5,500+ digitized patient cases across 18 oncology centers, 520,000+ training images, and 15 Q1/Q2 peer-reviewed publications, the workshop presents breakthroughs in multimodal vision-language models (VLMs) and automated diagnostic reporting. Ultimately, this symposium aims to highlight the scholarly contributions of Astana IT University researchers, familiarize the U.S. academic community with Kazakhstan's advancing scientific landscape, and establish sustainable bilateral partnerships for future institutional collaboration.

2:00-2:15: Opening Remarks & Welcome Addresses 

• Nargis Kassenova, PhD, Senior Fellow and Director, Program on Central Asia, Davis Center for Russian and Eurasian Studies, Harvard University
• Altair Akhmetov, Chairman of the Board – Rector, Astana IT University

2:15- 4:30: All-Day Session

"Artificial Intelligence Technologies for Multimodal Big Data Analysis in Breast Cancer Diagnosis and Prognosis: Program Overview and Clinical Architecture:" Beibit Abdikenov, PhD, Director of Science & Innovation Center “Artificial Intelligence” and Principal Investigator, Astana IT University

"Application of Large Language Models (LLMs) in Breast Cancer Diagnostic Decision Support": Yerzhan Orazayev, PhD Candidate, Researcher, Astana IT University. 

"Application of Vision-Language Models (VLMs) in Automated Breast Cancer Diagnosis and Report Generation": Birzhan Ayanbayev, PhD, Assistant Professor and Lead Researcher, Astana IT University:

"Supervised vs. Adversarially Pre-Trained Pseudo-Label Generators for Semi-Supervised Breast Cancer Patch Classification": Tomiris Zhaksylyk, PhD Candidate, Senior Researcher, Astana IT University:

"Development and Clinical Validation of AI Models for Breast Cancer Detection on Mammography": Aruzhan Imasheva, MSc Researcher, Astana IT University.

"AI-Based Breast Ultrasound Analysis: Lesion Detection, Classification, and Automated Report Generation Using Vision-Language Models": Dimash Rakishev, PhD Candidate, Researcher, Astana IT University.

"Development of Deep Learning Models for MRI and CT Image Analysis in Oncology": Zhaidar Kairat, Junior Researcher, Astana IT University.

"Investigating Annotation Ambiguity in Ki-67 Immunohistochemical Cell Detection": Yeldos Sholtan, MSc, Researcher, Astana IT University.

 "Development of an AI-Based Clinical Recommendation System for Breast Cancer Diagnosis and Treatment Planning": Ayan Kokhan, MSc, Researcher, Astana IT University.

"From AI Research to Clinical Practice: Pilot Implementation and Multi-Center Deployment Across 18 Oncology Centers": Assel Abakova, MSc, Project Manager, Astana IT University.