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Fredrik Edfors Arfwidsson

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Researcher

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Tomtebodavägen 23A

Researcher

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About me

Assistant Professor Fredrik Edfors, Ph.D., Docent
Data-Driven Life Science SciLifeLab and Wallenberg Fellow
KTH Royal Institute of Technology, Stockholm, Sweden

I am an Assistant Professor and Docent in Biotechnology with a specialization in precision medicine and diagnostics. My research at KTH focuses on leveraging cutting-edge proteomics technologies for plasma profiling to deepen our understanding of human health and disease. I am interested in advancing molecular diagnostics through innovative proteomic methods, such as Proximity Extension Assays and Targeted Proteomics (Liquid Chromatography with tandem mass spectrometry), to drive precision medicine forward.

My lab, the Edfors Lab, is at the forefront of next-generation plasma profiling. We specialize in:

  • Developing advanced methods for accurate protein quantification to enhance our capacity for precision diagnostics.

  • Discovering novel biomarkers and creating diagnostic and prognostic biomarker panels, leveraging machine learning for robust data analysis and interpretation.

  • Exploring remote sampling strategies to facilitate comprehensive, longitudinal profiling of patient health.

As a Data-Driven Life Science (DDLS) SciLifeLab and Wallenberg Fellow, I am dedicated to integrating innovative proteomics approaches with computational techniques to unlock the diagnostic potential of protein biomarkers in plasma.

Key Research Initiatives

As a Scientific Director of the Human Blood Resource of the Human Protein Atlas project, my team applies advanced proteomics tools, including LC-SRM/MS and Proximity Extension Assays (PEA), to improve our understanding of diseases. Through these technologies, we aim to develop high-impact solutions that may lead to new diagnostic approaches.

Join My Team

We are actively expanding our team and welcome researchers passionate about precision medicine and diagnostics. If you are interested in working at the intersection of proteomicsbioinformatics, and machine learning, please reach out for more information on open positions and collaborations.


Courses

Applied Proteomics (CB2110), examiner, course responsible | Course web

Degree Project in Biotechnology, First Cycle (BB103X), teacher | Course web

Proteomics (CB2080), teacher | Course web

Systems biology (CB2030), teacher | Course web

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Publications

Publication list