Author

N. Curti

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Biophysics· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Organism:human· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1 Approach:statistical model· 1

Frequent Co-Authors

D. Remondini· 1 shared F. W. Asselbergs· 1 shared G. Castellani· 1 shared H.-W. Uh· 1 shared L. Dall'Olio· 1 shared Y. S. Harb· 1 shared

Activity by Year

2020-2020 · peak 1/yr

Co-Author Collaboration Network

6 top collaborators · 15 mutual co-author links

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1 shared paperBiophysics

D. Remondini

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1 paper

Recent·Most cited

Prediction of vascular ageing based on smartphone acquired PPG signals

L. Dall'Olio, N. Curti, D. Remondini, Y. S. Harb, F. W. Asselbergs, G. Castellani, H.-W. Uh

This study uses machine learning and deep learning to predict vascular aging from smartphone-acquired PPG signals, achieving high accuracy with both approaches.

bioRxiv · May 26, 2020Biophysics