Chairs: Prof Mario Cannataro & Prof Marianna Milano
Mission and objectives
AI4DPH 2027 brings together researchers in artificial intelligence, bioinformatics, biomedical computing, network science and digital public health to explore advanced computational methods for complex biological and biomedical data and their translation into public health research and practice.
The workshop aims to foster interdisciplinary exchange, advance scalable and interpretable methods for heterogeneous biomedical data, highlight graph-based learning and network science, and stimulate collaboration across molecular, clinical, environmental and population-level research.
Intended audience and Expected Outcomes
The workshop welcomes bioinformaticians, computational biologists, AI and network researchers, biomedical computer scientists, epidemiologists, clinicians, public health professionals, technologists and doctoral researchers. Participants will explore emerging methods, discuss reproducibility and translational challenges, and identify interdisciplinary collaborations.
Format and schedule (preliminary)
The workshop is proposed as a 90-minute session combining research presentations, facilitated discussion and interactive collaboration.
| Session | Duration |
|---|---|
| Welcome and Introduction | 10 min |
| Peer-reviewed research presentations – Session I | 60 min |
| Break | 10 min |
| Peer-reviewed research presentations – Session II | 60 min |
| Moderated interdisciplinary discussion | 30 min |
| Closing remarks | 10 min |
The final speaker lineup and timings will be confirmed following peer review. No invited external speaker is currently confirmed.
Speakers
University Magna Graecia of Catanzaro, Italy
Prof Marianna Milano (Co-Chair)
University Magna Graecia of Catanzaro, Italy