A time-resolved proteomic and diagnostic map characterizes COVID-19 disease progression and predicts outcome
Por um escritor misterioso
Last updated 25 abril 2025

medRxiv - The Preprint Server for Health Sciences

A multiplex protein panel assay for severity prediction and outcome prognosis in patients with COVID-19: An observational multi-cohort study - eClinicalMedicine
A proteomic survival predictor for COVID-19 patients in intensive care

JCM, Free Full-Text

Frontiers Hallmarks of Severe COVID-19 Pathogenesis: A Pas de Deux Between Viral and Host Factors

In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients

Multi-omic longitudinal study reveals immune correlates of clinical course among hospitalized COVID-19 patients - ScienceDirect

Mass Spectrometry Techniques in Emerging Pathogens Studies: COVID-19 Perspectives

Proteomes, Free Full-Text

A time-resolved proteomic and diagnostic map characterizes COVID-19 disease progression and predicts outcome

Predicting COVID-19 disease progression and patient outcomes based on temporal deep learning, BMC Medical Informatics and Decision Making

A time-resolved proteomic and diagnostic map characterizes COVID-19 disease progression and predicts outcome

Multi-platform omics analysis reveals molecular signature for COVID-19 pathogenesis, prognosis and drug target discovery
COVID-19_arXiv on X: 𝗧𝗶𝘁𝗹𝗲: A time-resolved proteomic and diagnostic map characterizes COVID-19 disease progression and predicts outcome. 𝗔𝘂𝘁𝗵𝗼𝗿𝘀: Vadim Demichev, Pinkus Tober-Lau, Tatiana Nazarenko, Charlotte Thibeault, Harry Whitwell

Multi-organ proteomic landscape of COVID-19 autopsies - ScienceDirect
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