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Science Translational Medicine|July 2, 2025
Synovial tissue atlas in juvenile idiopathic arthritis reveals pathogenic niches associated with disease severityChrissy Bolton, Christopher B Mahony, Elizabeth Clay, et al.
Eclinicalmedicine|January 2, 2023
Efficacy and safety of early soluble urokinase plasminogen receptor plasma-guided anakinra treatment of COVID-19 pneumonia: A subgroup analysis of the SAVE-MORE randomised trialKarolina Akinosoglou, Antigone Kotsaki, Ioanna-Maria Gounaridi, et al.
Trials|January 26, 2023
The effect of COVID rehabilitation for ongoing symptoms Post HOSPitalisation with COVID-19 (PHOSP-R): protocol for a randomised parallel group controlled trial on behalf of the PHOSP consortiumEnya Daynes, Molly Baldwin, Neil J Greening, et al.
Research Square|August 19, 2022
A Randomized Trial of Lipid Metabolism Modulation with Fenofibrate for Acute Coronavirus Disease 2019Julio Chirinos, Patricio Lopez-Jaramillo, Evangelos Giamarellos-Bourboulis, et al.
Critical Care (London, England)|May 28, 2010
Early alterations of the innate and adaptive immune statuses in sepsis according to the type of underlying infectionCharalambos Gogos, Antigone Kotsaki, Aimilia Pelekanou, et al.
Nature Metabolism|November 7, 2022
A randomized clinical trial of lipid metabolism modulation with fenofibrate for acute coronavirus disease 2019Julio A Chirinos, Patricio Lopez-Jaramillo, Evangelos J Giamarellos-Bourboulis, et al.
Nature Medicine|September 4, 2021
Early treatment of COVID-19 with anakinra guided by soluble urokinase plasminogen receptor plasma levels: a double-blind, randomized controlled phase 3 trialEvdoxia Kyriazopoulou, Garyfallia Poulakou, Haralampos Milionis, et al.
ACS Nano|March 15, 2017
Diverse Applications of NanomedicineBeatriz Pelaz, Christoph Alexiou, Ramon A Alvarez-Puebla, et al.
Nature Communications|December 5, 2022
Federated learning enables big data for rare cancer boundary detectionSarthak Pati, Ujjwal Baid, Brandon Edwards, et al.
Nature Communications|July 8, 2025
Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challengeMaximilian Zenk, Ujjwal Baid, Sarthak Pati, et al.
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