Artificial Intelligence for Oncology 3rd Edition

www.aiforoncology.it

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📢  CALL FOR ABSTRACT IS CLOSED! 📢 

SUBMISSION DEADLINES:
12nd February 2025 CALL FOR ABSTRACT IS CLOSED
04th March 2025 OUTCOME NOTIFICATIONS

📝   TOPIC AREAS:

1. AI-Driven Imaging: Advances in Radiology and Digital Pathology (Covers AI applications in medical imaging)
2. Multi-Omic Integration and Analysis (Focuses on AI methodologies for integrating and analyzing genomic, transcriptomic, proteomic, and other omic data togather with neural networks)
3. Large Language Models and Natural Language Processing in Oncology (Explores the use of LLMs and NLP for medical text analysis, clinical decision support, and other oncological applications)
4. Multimodal AI: Integrating Data for Cancer Insights (Highlights approaches combining imaging, omics, clinical, and other data for comprehensive cancer analysis)
5. Patient-Centered AI and Quality of Life Monitoring and Outcomes Prediction (Covers AI tools for monitoring quality of life, symptom management, and patient-reported outcomes)
6. Innovations in AI for Cancer Research and Clinical Practice (An open category for cutting-edge and emerging AI applications in oncology not covered in other categories)

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