Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases
Fecha de publicación:
Fecha Ahead of Print:
Autores de IIS La Fe
Participantes ajenos a IIS La Fe
- Asti, G
- Delleani, M
- Apellaniz, P
- Isasa, I
- Duarte, DM
- Galende, BA
- Casadei, F
- Iascone, E
- Bicchieri, M
- Sauta, E
- Zazzetti, E
- Campagna, A
- Maggioni, G
- Lanino, L
- Buizza, A
- Ferrari, I
- Bruseghini, A
- Zampini, M
- Almodóvar, A
- Uribe, S
- Savevski, V
- Almeida, A
- Komrokji, R
- Zeidan, A
- Fenaux, P
- Zhao, LP
- Bullinger, L
- Eric, S
- Diez-Campelo, M
- Parras, J
- Castellani, G
- Zazo, S
- Mayer, R
- Beristain, A
- Alvarez, F
- D'Amico, S
- della Porta, M
Grupos
Abstract
Abstract no disponible
Datos de la publicación
- ISSN/ISSNe:
- 0006-4971, 1528-0020
- Tipo:
- Meeting Abstract
- Páginas:
- 4350-4351
- Factor de Impacto:
- 4,834 SCImago ℠
- Cuartil:
- Q1 SCImago ℠
BLOOD ELSEVIER
Documentos
- No hay documentos
Filiaciones
Filiaciones no disponibles
Campos de Estudio
Cita
Asti,G,Delleani,M,Apellaniz,P,Isasa,I,Duarte,DM,Galende,BA,Casadei,F et al. Development and validation of synthetic data generation over a federated learning computing framework to accelerate innovation and boost personalized medicine in hematological diseases. 67th Annual Meeting of the American-Society-of-Hematology (ASH). 2025. Orlando. RADARWEG 29, 1043 NX AMSTERDAM, NETHERLANDS:ELSEVIER. 2025 p.p. 4350-4351.
Portal de investigación