02/06/2026
✨IHU Students’ Success Stories
👏 Congratulations to Vaia Apostolou, PhD Candidate, who collaborated with Dr. George Papageorgiou (MSc in Data Science and PhD from IHU), under the supervision of Prof. Christos Tjortjis, from the Data Mining & Analytics Research Group, at IHU – School of Science & Technology!
ℹ️ Their latest systematic review titled “Artificial Intelligence for Early Detection of Pancreatic Cancer: Pre-diagnostic Detection Across Imaging, Biomarkers, and Electronic Health Records” has been published in Springer’s Evolutionary Intelligence (Impact Factor: 2.6) and is available open access at:
👉 Link: [https://link.springer.com/epdf/10.1007/s12065-026-01202-6?sharing_token=p0eNDPV-GDsluEQHSuAS3Pe4RwlQNchNByi7wbcMAY64KvrghfhgRJdPJxwByvteoqyDekLGVEEqmteBTrfLRbVGqtSQ2KgJv7pyX7i6_VfXisbp5bLzyVEqbRLNaoV9xPB33e1L366PQHW-OB9Im1IIbQU_JjesbP7xDbcVjqU%3D]
This study synthesizes recent evidence on how Artificial Intelligence and Machine Learning can support one of the most critical challenges in medicine: the earlier detection of pancreatic cancer. It examines AI-enabled approaches across medical imaging, electronic health records, blood-based biomarkers, liquid biopsy, and multi-omics data.
Key takeaways?
✔ AI can support earlier identification of pancreatic cancer risk across imaging, biomarkers, and EHR data
✔ Multimodal approaches may improve how weak clinical and molecular signals are combined
✔ Clinical translation requires external validation, calibration, transparent thresholds, and real-world workflow integration
This work contributes to the growing field of AI in Medicine, with important relevance for early cancer detection, pancreatic cancer research, clinical decision support, and trustworthy AI deployment in healthcare.
👏 Fantastic work by the team! Keep pushing the boundaries of Artificial Intelligence, Medicine, and Data Science.
