Current aiForward participants and their projects
Liam Beckett, PhD student
Jaan Korpikoski, MSc student
Liam and Jaan are both students at the Voutilainen Lab in the University of Helsinki’s Institute of Biotechnology.
The lab’s mission is to identify treatments for diseases such as amyotrophic lateral sclerosis (ALS); a fatal neurodegenerative disease. Liam and Jaan are both focusing their research on a novel protein, currently one of the most promising therapeutic candidates for ALS. The ultimate aim of this project is to take a drug candidate to clinical trial and to translate the results for the benefit of ALS patients.
Reidunn Edelmann, PhD
Dr. Edelmann is a postdoctoral researcher in Arne Östman’s laboratory at the Centre for Cancer Biomarkers, University of Bergen, Norway.
Her project aims to develop a method for tumor vessel annotation which identifies marker-defined subsets of vessels that are expected to display different functional properties. Manual annotation is time-consuming and possibly error-prone. “Our AI-based approach takes tumor vessel annotation to a new level, with the promise of a more comprehensive characterization of different vessel phenotypes. This could possibly lead to discovery of biologically meaningful and well-performing vessel-related biomarkers,” states Dr. Edelmann.
Liesbeth Hondelink, MSc student
Ms. Hondelink is an MSc student from Dr. Danielle Cohens’ laboratory, Leiden University Medical Center, the Netherlands.
She applied to the aiForward program to develop an algorithm for the scoring of a diagnostic marker molecule in tumor cells. According to Ms. Hondelink, the accuracy of tumor cell scoring is currently affected by inter- and intra-observer variability.
“We have already seen great and promising advances in AI-based sample image analysis,” says Ms. Hondelink. “In order to more adequately identify the patients that could benefit from immunotherapy, a more precise scoring method is essential.”