Laura Elo
laura.elo@utu.fi +358 29 450 2090 +358 50 468 0795 Tykistökatu 6 Turku ORCID-tunniste: https://orcid.org/0000-0001-5648-4532 |
Computational biomedicine, medical bioinformatics, data science, machine learning, artificial intelligence, biomarkers, computational systems immunology
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).
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
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
- How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? (2017)
- European Urology
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - Prediction of Adult Dyslipidemia Using Genetic and Childhood Clinical Risk Factors - The Cardiovascular Risk in Young Finns Study (2017)
- Circulation: Cardiovascular Genetics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prediction of adulthood obesity using genetic and childhood clinical risk factors in the Cardiovascular Risk in Young Finns Study (2017)
- Circulation: Cardiovascular Genetics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data (2017)
- Lancet Oncology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models. (2017)
- European Urology
(B1 Vertaisarvioimaton kirjoitus tieteellisessä lehdessä ) - ROTS: An R package for reproducibility-optimized statistical testing (2017)
- PLoS Computational Biology
Laura L. Elo
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A survey of best practices for RNA-seq data analysis (2016)
- Genome Biology
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Brief Isoflurane Anesthesia Produces Prominent Phosphoproteomic Changes in the Adult Mouse Hippocampus (2016)
- ACS Chemical Neuroscience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Empirical comparison of structure-based pathway methods (2016)
- Briefings in Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Erratum to: A survey of best practices for RNA-seq data analysis (vol 17, 13, 2016) (2016)
- Genome Biology
(O2 Muu julkaisu ) - Liver lipid metabolism is altered by increased circulating estrogen to androgen ratio in male mouse (2016)
- Journal of Proteomics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Longitudinal modeling of ultrasensitive and traditional prostate-specific antigen and prediction of biochemical recurrence after radical prostatectomy (2016)
- Scientific Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Normal stroma suppresses cancer cell proliferation via mechanosensitive regulation of JMJD1a-mediated transcription (2016)
- Nature Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - ROTS: reproducible RNA-seq biomarker detector-prognostic markers for clear cell renal cell cancer (2016)
- Nucleic Acids Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Comparison of software packages for detecting differential expression in RNA-seq studies (2015)
- Briefings in Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Optimization of Statistical Methods Impact on Quantitative Proteomics Data (2015)
- Journal of Proteome Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - The L1TD1 Protein Interactome Reveals the Importance of Post-transcriptional Regulation in Human Pluripotency (2015)
- Stem Cell Reports
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Using peptide-level proteomics data for detecting differentially expressed proteins. (2015)
- Journal of Proteome Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - A Note on an Exon-Based Strategy to Identify Differentially Expressed Genes in RNA-Seq Experiments (2014)
- PLoS ONE
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Innate immune activity is detected prior to seroconversion in children with HLA-conferred type 1 diabetes susceptibility. (2014)
- Diabetes
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )