Author

Rolf Lewensohn

Karolinska University HospitalORCID 0000-0002-9941-9172Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioengineering· 1 Bioinformatics· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Apurba DeviD· 1 shared Ashwin Anandhapadman· 1 shared Debjani PauliD· 1 shared Felipe A. SimãoiD· 1 shared Fredrik StridfeldtiD· 1 shared Gabriele MadonnaiD· 1 shared Giuseppe Valentino MasucciiD· 1 shared Haimanti MukherjeeiD· 1 shared

Activity by Year

2021-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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1 shared paperBioengineering

Apurba DevORCID

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2 papers

Recent·Most cited

LoAR-Exo and HiAR-Exo: One-step label-free isolation of extracellular vesicles using inertial microfluidic devices

Sourav Acharya, Moein Talebian Gevari, Ashwin Anandhapadman, Shreya Karandikar, Haimanti Mukherjee, Fredrik Stridfeldt, Sayani Das, Petra Hååg, Nupur Rani Agarwal, Rolf Lewensohn, Kristina Viktorsson, Sandip Kaledhonkar, Prakriti Tayalia, Apurba Dev, Debjani Paul

This paper introduces two inertial microfluidic devices for label-free EV isolation, showing comparable performance to standard methods in size distribution and efficiency.

bioRxiv · Oct 10, 2025 · PreprintBioengineering

SRF-CLICAL: an approach for patient risk stratification using random forest models

Felipe A. Simão, Reija Hieta, Jane A. Pulman, Gabriele Madonna, Paolo A. Ascierto, Rolf Lewensohn, Giuseppe Valentino Masucci

SRF-CLICAL uses random forest models to stratify cancer patients into risk groups based on clinical data, demonstrating its effectiveness on two patient cohorts.

bioRxiv · Jun 22, 2021 · PreprintBioinformatics