Laura Elo profile picture
Laura
Elo
Research Director, Turku Bioscience Centre
Professor, Turku Bioscience Centre
InFLAMES Flagship

Contact

+358 29 450 2090
+358 50 468 0795
Tykistökatu 6
20520
Turku

Areas of expertise

Computational biomedicine
medical bioinformatics
data science
machine learning
artificial intelligence
biomarkers
computational systems immunology

Biography

Laura Elo is Professor of Computational Medicine and Head of Medical Bioinformatics Centre at University of Turku, Finland. She received PhD in Applied Mathematics in 2007 and became Adjunct Professor in Biomathematics in 2011. After postdoctoral research in molecular immunology and computational systems biology, she received JDRF Career Development Award from US and established herself as independent group leader. In 2014 she became Research Director and in 2016 Vice Director of Turku Bioscience. She has published >180 research articles and >20 software packages and led several research projects (e.g. ERC).

Teaching

Modern Biotechnologies and Bioinformatics; Bioinformatics in Drug Discovery; Systems biology; AI in Diagnostics, Drug Discovery and Imaging; Bioinformatics Journal Club
Training of MSc and PhD students and postdoctoral fellows

Research

We develop computational methods and models for transforming large-scale molecular and clinical datasets to biomedical knowledge. A specific focus is on analyzing and interpreting data generated by modern high-throughput biotechnologies and other digital health data in a robust and reproducible manner. Using statistical modelling and advanced machine learning techniques, we have, for instance, identified early markers for type 1 diabetes and developed several powerful computational models for predicting disease and treatment risks. The ultimate goal is to improve the diagnosis, prognosis and treatment of complex diseases in close collaboration with experimental and clinical research groups. In our ongoing studies, we focus on development of robust computational tools for proteome, epigenome, and multi-modal single-cell data analysis; artificial intelligence in the analysis of digital health data for early prediction of disease and treatment risks; and computational systems immunology to study human T cell development and immune-mediated diseases. For more information, visit our website: https://elolab.utu.fi

Publications

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Long noncoding RNA LIRIL2R modulates FOXP3 levels and suppressive function of human CD4+ regulatory T cells by regulating IL2RA (2024)

Proceedings of the National Academy of Sciences of the United States of America
Andrabi, Syed Bilal Ahmad; Kalim, Ubaid Ullah; Palani, Senthil; Khan, Mohd Moin; Khan, Meraj Hasan; Fagersund, Jimmy; Orpana, Julius; Paulin, Niklas; Batkulwar, Kedar; Junttila, Sini; Buchacher, Tanja; Grönroos, Toni; Toikka, Lea; Ammunet, Tea; Sen, Partho; Orešič, Matej; Kumpulainen, Venla; Tuomisto, Johanna E. E.; Sinha, Rahul; Marson, Alexander; Rasool, Omid; Elo, Laura L.; Lahesmaa, Riitta
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Multi-omics analysis reveals drivers of loss of β-cell function after newly diagnosed autoimmune type 1 diabetes : An INNODIA multicenter study (2024)

Diabetes/Metabolism Research and Reviews
Armenteros, Jose Juan Almagro; Brorsson, Caroline; Johansen, Christian Holm; Banasik, Karina; Mazzoni, Gianluca; Moulder, Robert; Hirvonen, Karoliina; Suomi, Tomi; Rasool, Omid; Bruggraber, Sylvaine F. A.; Marcovecchio, M. Loredana; Hendricks, Emile; Al-Sari, Naba; Mattila, Ismo; Legido-Quigley, Cristina; Suvitaival, Tommi; Chmura, Piotr J.; Knip, Mikael; Schulte, Anke M.; Lee, Jeong Heon; Sebastiani, Guido; Grieco, Giuseppina Emanuela; Elo, Laura L.; Kaur, Simranjeet; Pociot, Flemming; Dotta, Francesco; Tree, Tim; Lahesmaa, Riitta; Overbergh, Lut; Mathieu, Chantal; Peakman, Mark; Brunak, Søren; INNODIA investigators
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )

Differences in Gut Microbiota Profiles and Microbiota Steroid Hormone Biosynthesis in Men with and Without Prostate Cancer (2024)

European Urology Open Science
Kalinen Sofia, Kallonen Teemu, Gunell Marianne, Ettala Otto, Jambor Ivan, Knaapila Juha, Syvänen Kari T., Taimen Pekka, Poutanen Matti, Aronen Hannu J., Ollila Helena, Pietilä Sami, Elo Laura L., Lamminen Tarja, Hakanen Antti J., Munukka Eveliina, Boström Peter J.; the Multi-IMPROD Study Group
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )