Author

Hajime Fujita

Stanford UniversityORCID 0000-0002-0497-1918Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:drug response / drug discovery· 2 Assay:proteomics· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Hyongsok Tom SohiD· 3 shared Michael S. Eisenstein· 3 shared Yasser GidiiD· 3 shared Linus A. HeiniD· 2 shared Benjamin C. WollantiD· 1 shared Jenny JiiD· 1 shared Leighton WaniD· 1 shared Qitao HuiD· 1 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

9 top collaborators · 28 mutual co-author links

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3 shared papersBioengineering

Hyongsok Tom SohORCID

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3 papers

Recent·Most cited

BioengineeringbioRxivPreprintMay 21, 2026

Aptamer charge-amplified field-effect transistor biosensors achieve picomolar detection limits for small-molecule biomarkers in complex biological matrices

Qitao Hu, Yasser Gidi, Hajime Fujita…·Hyongsok Tom Soh

This paper develops a charge-amplified FET biosensor for detecting small-molecule biomarkers with picomolar sensitivity in complex biological samples.

DOI 10.64898/2026.05.18.726065

humanproteomics

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BioengineeringbioRxivPreprintSep 13, 2025

Discovery of high-specificity DNA aptamers for progesterone using a high-throughput array platform

Hajime Fujita, Leighton Wan, Yasser Gidi…·Hyongsok Tom Soh

This paper develops high-specificity DNA aptamers for progesterone using a high-throughput array platform, achieving nanomolar affinity and minimal cross-reactivity with structurally similar steroids.

2 citations

experimental assay

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BioengineeringbioRxivPreprintJul 31, 2025

Accelerated Discovery of Aptamer Beacons via Massively Parallel Screening

Yasser Gidi, Linus A. Hein, Hajime Fujita…·Hyongsok Tom Soh

This paper introduces MAPA, a high-throughput platform for discovering and optimizing aptamer beacons for molecular targets, demonstrating its effectiveness for glucose, serotonin, and dopamine.

6 citations

proteomicsdeep learning

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