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21-06-2024

18 E. Minga - Large databases of real­world data and the prospects of AI

18 E. Minga - Large databases of real­world data and the pro...

19 G. Gavriilidis - Leveraging AI for perturbational modeling in single cell data

19 G. Gavriilidis - Leveraging AI for perturbational modelin...

20 P. Natsiavas - Clinical data secondary use in Greece and implications for AI­based clinical research: the OHDSI­GR network

20 P. Natsiavas - Clinical data secondary use in Greece and...

21 G. Scoazec - Part 1: what and who do we need? Using AI tools for AI projects

21 G. Scoazec - Part 1: what and who do we need? Using AI to...

22 Ferrarin-Zec-Spathas-Megapanou - Part 2: phase 1, data collection Phase 2/3, model construction and deployment (training, validation, evaluation)

22 Ferrarin-Zec-Spathas-Megapanou - Part 2: phase 1, data co...

23 M. Crispin­Ortuzar - Integrating AI tools in clinical research: examples from ovarian and breast cancer

23 M. Crispin­Ortuzar - Integrating AI tools in clinical res...

24 L. Provenzano - AI applications in clinical trials

24 L. Provenzano - AI applications in clinical trials

25 Th. Kosmidis - Digital health interventions

25 Th. Kosmidis - Digital health interventions

26 E. Sarris - Commentator

26 E. Sarris - Commentator

27 Ν. Papanikolaou - AI/Radiomics 2.0: lessons learned from a European funded project in prostate cancer

27 Ν. Papanikolaou - AI/Radiomics 2.0: lessons learned from...

28 G. Lainakis - Examples of AI­based applications in other solid tumours (breast, lung, etc)

28 G. Lainakis - Examples of AI­based applications in other...

29 A. Srisuwananukorn - AI for hematological malignancies ­ acute and chronic leukemias

29 A. Srisuwananukorn - AI for hematological malignancies ­...

30 Ch. Antonopoulos - The evolution of precision medicine and how is AI transforming healthcare

30 Ch. Antonopoulos - The evolution of precision medicine an...

31 P. Foukas - Digital and computational pathology

31 P. Foukas - Digital and computational pathology

32 E. Felip - The most important clinical needs in lung cancer that could be addressed with AI

32 E. Felip - The most important clinical needs in lung canc...