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Showing 1–7 of 7 results

Advanced filters: Author: Daniel Backes Clear advanced filters

Swarm Learning for decentralized and confidential clinical machine learning

Swarm Learning is a decentralized machine learning approach that outperforms classifiers developed at individual sites for COVID-19 and other diseases while preserving confidentiality and privacy.

Stefanie Warnat-Herresthal
Hartmut Schultze
Joachim L. Schultze
ResearchOpen Access26 May 2021
Nature

Volume: 594, P: 265-270
Process-evaluation of forest aerosol-cloud-climate feedback shows clear evidence from observations and large uncertainty in models

This study shows that trees are likely to change clouds in the future and reveals that climate models struggle to accurately represent the relevant processes of aerosol-cloud-climate interactions over forests.

Sara M. Blichner
Taina Yli-Juuti
Ilona Riipinen
ResearchOpen Access07 Feb 2024
Nature Communications

Volume: 15, P: 1-12
Ultrafast X-ray imaging of the light-induced phase transition in VO₂

The intermediate states in photo-excited phase transitions are expected to be inhomogeneous. However, ultrafast X-ray imaging shows the early part of the metal–insulator transition in VO₂ is homogeneous but then becomes heterogeneous.

Allan S. Johnson
Daniel Perez-Salinas
Simon E. Wall
ResearchOpen Access22 Dec 2022
Nature Physics

Volume: 19, P: 215-220
1276 FUNCTIONAL BACTERIAL OPSONIC ACTIVITY OF HUMAN AMNIOTIC FLUID

Michael J Cone
Daniel J Marmer
Russell W Steele
Research01 Apr 1981
Pediatric Research

Volume: 15, P: 656
Author Correction: Ultrafast X-ray imaging of the light-induced phase transition in VO₂

Allan S. Johnson
Daniel Perez-Salinas
Simon E. Wall
Amendments and CorrectionsOpen Access12 Jan 2023
Nature Physics

Volume: 19, P: 297
Putative link between Polo-like kinases (PLKs) and Toll-like receptor (TLR) signaling in transformed and primary human immune cells

Souhayla El Maadidi
Alexander N. R. Weber
Nicholas J. Gay
ResearchOpen Access11 Sept 2019
Scientific Reports

Volume: 9, P: 1-10
C. elegans: A biosensor for host–microbe interactions

In this perspective, the authors discuss the use of Caenorhabditis elegans as a model system to study host–microbe interactions, highlighting innovative methodologies and key findings from recent studies.

Cassandra Backes
Daniel Martinez-Martinez
Filipe Cabreiro
Reviews01 Mar 2021
Lab Animal

Volume: 50, P: 127-135