Author

Anna Bohlin

Karolinska Institutet

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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Bioinformatics· 1 Cancer Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:drug response / drug discovery· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Approach:deep learning· 1 Organism:human· 1

Frequent Co-Authors

Albin ÖsterroosiD· 2 shared Olli KallioniemiiD· 2 shared Sören LehmanniD· 2 shared Tom ErkersiD· 2 shared Helena BäckvalliD· 1 shared Ioannis Siavelis· 1 shared Janne LehtiöiD· 1 shared Leonard HartmanisiD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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2 shared papersCancer Biology

Albin ÖsterroosORCID

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2 papers

Recent·Most cited

Transcriptionally defined AML cell states associate with treatment response and microenvironmental remodeling

Nona Struyf, Leonard Hartmanis, Lucia Rico Pizarro, Albin Österroos, Anna Bohlin, Sofia Bengtzén, Sören Lehmann, Olli Kallioniemi, Tom Erkers

This study defines AML cell states through single-cell transcriptomics and links them to drug response and microenvironmental interactions, identifying state-specific vulnerabilities and resistance mechanisms.

bioRxiv · Jul 1, 2026 · PreprintCancer Biology

Pathway activation model for personalized prediction of drug synergy

Quang Thinh Trac, Yue Huang, Tom Erkers, Päivi Östling, Anna Bohlin, Albin Österroos, Mattias Vesterlund, Rozbeh Jafari, Ioannis Siavelis, Helena Bäckvall, Santeri Kiviluoto, Lukas M. Orre, Mattias Rantalainen, Janne Lehtiö, Sören Lehmann, , Trung Nghia Vu

This paper introduces DIPx, a model predicting drug synergy using pathway activation scores, showing better performance than existing methods on both known and novel drug combinations.

eLife · Jun 3, 2025Peer-reviewedBioinformatics