News & Events
Updates from the lab, recent publications, and scientific highlights.
Featured Update
SUBSISTER Consortium Awarded Research Council of Finland Project Grant
A major Research Council of Finland grant will power multi-omics, single-cell, spatial, and functional profiling to find more effective treatments for ovarian cancer.
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Latest Updates
All recent news and events from the lab
Candice Madiot joins the Färkkilä Lab as Postdoctoral Researcher
Candice Madiot joins the Färkkilä Lab to develop immunocompetent organoid models for studying the tumor microenvironment in ovarian cancer.
Färkkilä Lab Shares Spatial Biology and Precision Oncology Insights at the 1st European Ovarian Cancer Research Symposium (OC-INSIGHTS)
At the 1st European Ovarian Cancer Research Symposium (OC-INSIGHTS) in Bergen, Norway, doctoral researcher Ziqi Kang was honored with a Best Poster Award, Ada Junquera presented a selected short talk, María Mercedes Hincapié Otero received a Best Poster Prize, and Prof. Anniina Färkkilä delivered an invited talk.
Understanding CIN2 Through Spatial Single-Cell Imaging: A Doctoral Researcher’s Perspective
Cervical cancer ranks as the fourth most prevalent cancer among women globally, causing 349,000 fatalities in 2022. The disease progresses through precancerous stages, typically following an HPV infection.
Single Cell and Spatial Omics Symposium 2026
On March 12, 2026, the Single Cell and Spatial Omics Symposium at Biomedicum Helsinki brought together leading international researchers to explore the frontiers of single-cell and spatial omics technologies.
Annual Winter Team-Building Retreat at Nuuksio National Park
On February 17, 2026, the Färkkilä Lab gathered in Nuuksio National Park for their annual Winter Day, featuring snowshoeing, team-building, and a shared dinner at Haltia Nature Center.
Anni Lindfors joins the Färkkilä Lab as Masters thesis student
Anni Lindfors, B.Sc., joins the Färkkilä Lab to support genomic data analysis and develop normalization approaches that improve interpretation of large-scale omics datasets.