Call For Abstract
The Call for Abstracts will open on December 11th, 2025.
We invite researchers, clinicians, and innovators to submit original work aligned with one of the conference’s five scientific areas:
1. Image-based and multimodal AI – example topics: AI for screening, diagnosis, workflow optimization, treatment decision-making, prognosis, predictive biomarkers …
2. Explainable and trustworthy AI – example topics: Explainable AI, transparency, ethics and regulation, privacy, federated learning, synthetic data approaches …
3. Agentic AI and Large Language Models – example topics: Novel applications of agentic systems, LLMs, and foundation models in oncology
4. Multi-omics, drug discovery, and prevention – example topics: Integrative multi-omics, AI-driven drug discovery, prevention research, exposome, AI for single -omics …
5. Digital health and AI-enabled care – example topics: apps and wearable devices, real-world data and patient empowerment, digital twins, digital medicine, telemedicine, AI clinical trial design, trial matching …
Abstracts will be evaluated through a blind review process, by two independent reviewers in avoidance of conflicts of interest, and will be assessed based on the following criteria:
- Scientific soundness; methodological rigor, and feasibility
- Innovation and potential impact of the work proposed
- Clarity of the objectives and the results where available
- Quality of the presentation
The authors of the best-ranked abstracts in each of the five areas will be invited to present their work in a flash talk (10 minutes) during the event.
Abstracts should be submitted on web platform – https://www.aiforoncology.it/ by February 3rd EoB at the latest.
The results will be announced to all presenters by March 4th.