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Advanced filters: Author: Jonathan F. Freidin Clear advanced filters

Real-time tracking of self-reported symptoms to predict potential COVID-19

Analysis of data from a smartphone-based app designed for large-scale tracking of potential COVID-19 symptoms, used by over 2.5 million participants in the United Kingdom and United States, shows that loss of taste and smell sensations is predictive of potential SARS-CoV-2 infection.

Cristina Menni
Ana M. Valdes
Tim D. Spector
Research11 May 2020
Nature Medicine

Volume: 26, P: 1037-1040
A longitudinal circulating tumor DNA-based model associated with survival in metastatic non-small-cell lung cancer

A machine learning model that uses longitudinal ctDNA metrics robustly predicts survival in two phase 3 trials of patients with metastatic NSCLC, which may improve therapy selection and risk stratification.

Zoe June F. Assaf
Wei Zou
Katja Schulze
ResearchOpen Access16 Mar 2023
Nature Medicine

Volume: 29, P: 859-868

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Real-time tracking of self-reported symptoms to predict potential COVID-19

A longitudinal circulating tumor DNA-based model associated with survival in metastatic non-small-cell lung cancer

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