For another consecutive year, GenoMed4All was present at the ASH meeting in San Diego, thanks to the participation of investigators from Humanitas Research Hospital.
The 66th American Society of Hematology (ASH) Annual Meeting and Exposition, held in California on 7-10 December 2024, showcased the latest research and developments in hematology, serving as a pivotal gathering for hematology professionals from across the globe.
Also in representation of our sister project SYNTEHMA, our shared consortium partner Humanitas Research Hospital presented 6 abstracts that highlighted the transformative potential of artificial intelligence in advancing personalized and precision medicine for hematological diseases.
Through five poster presentations and one conference talk, the Humanitas team, led by Matteo Della Porta, unveiled the work they’ve been developed in the last year:
- ‘Artificial Intelligence-Powered Digital Pathology to Improve Diagnosis and Personalized Prognostic Assessment in Patients with Myeloid Neoplasms’ by Gianluca Asti
- ‘An Artificial Intelligence-Based Federated Learning Platform to Boost Precision Medicine in Rare Hematological Diseases: An Initiative by GenoMed4All and SYNTHEMA Consortia’ by Gianluca Asti
- ‘A Comprehensive, Artificial Intelligence-Based, Digital Twin Platform Based on Multimodal Real-World Data Integration for Personalized Medicine in Hematology’ by Saverio D’Amico
- ‘Generation of Multimodal Longitudinal Synthetic Data by Artificial Intelligence to Improve Personalized Medicine in Hematology’ by Saverio D’Amico
- ‘Enhancing Personalized Prognostic Assessment of Myelodysplastic Syndromes through a Multimodal and Explainable Deep Data Fusion Approach’ by Elisabetta Sauta
The active participation of GenoMed4All and SYNTHEMA at ASH 2024 underscored their commitment to integrating AI into hematology to improve patient outcomes. Engaging with the global hematology community at such a high-profile event facilitated the dissemination of their innovative research findings, fostering discussions on the practical applications of AI in clinical settings.
