Swarm Learning for decentralized and confidential clinical machine learning - LSC 2023 - Post-viral lung diseases - from basic immunology to clinical phenotypes and therapy

Lung Science Conference 2023

At the forefront of basic and translational respiratory science, this conference is an essential event for budding respiratory researchers looking to boost their career.

Educational aims

- To present the very best of international lung science research
- To highlight new discoveries likely to impact on the future of respiratory medicine
- To encourage debate and interaction between young postdoctoral scientists and established investigators

Session 3: Technological advances to study acute and chronic virus infections of the lung

Chair(s): Susanne Herold, Carola Voss

Session type: Session

Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat-Herresthal

EVENTS HOME

18 - Swarm Learning for decentralized and confidential clinical machine learning
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Omics technologies to study virus infections and chronic lung diseases

Philip Hansbro

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OP07 Longitudinal proteomic profiling reveals early onset increase in collagens and (auto-)antibodies in COVID-19 patients

Anna Semenova

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Poster

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Swarm Learning for decentralized and confidential clinical machine learning

Stefanie Warnat-herresthal

18 - Swarm Learning for decentralized and confidential clinical machine learning

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OP08 Recapitulating morphological and functional characteristics of distal airways in tubular organoids to model post-viral obstructive diseases

Isabelle Dupin

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Poster

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Group Picture and Coffee Break

Celina Marques Grunho

CDN Connection Issue

Lung Science Conference 2023

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