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
- Cell type markers indicate distinct contributions of decidual stromal cells and natural killer cells in preeclampsia (2022)
- Reproduction
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Computational solutions for spatial transcriptomics (2022)
- Computational and Structural Biotechnology Journal
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - COVID-19-specific transcriptomic signature detectable in blood across multiple cohorts (2022)
- Frontiers in Genetics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Deep learning tools are top performers in long non-coding RNA prediction (2022)
- Briefings in Functional Genomics
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - Dirichlet process mixture models for single-cell RNA-seq clustering (2022)
- Biology Open
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Early DNA methylation changes in children developing beta cell autoimmunity at a young age (2022)
- Diabetologia
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Estimating cell type-specific differential expression using deconvolution (2022)
- Briefings in Bioinformatics
(A2 Vertaisarvioitu katsausartikkeli tieteellisessä lehdessä) - High intratumoral dihydrotestosterone is associated with antiandrogen resistance in VCaP prostate cancer xenografts in castrated mice (2022)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Histone H3K4me3 breadth in hypoxia reveals endometrial core functions and stress adaptation linked to endometriosis (2022)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Improved risk prediction of chemotherapy-induced neutropenia-model development and validation with real-world data (2022)
- Cancer Medicine
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Introducing untargeted data-independent acquisition for metaproteomics of complex microbial samples (2022)
- ISME Communications
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Long Intergenic Noncoding RNA MIAT as a Regulator of Human Th17 Cell Differentiation (2022)
- Frontiers in Immunology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - MYO10-filopodia support basement membranes at pre-invasive tumor boundaries (2022)
- Developmental Cell
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Pancreas Whole Tissue Transcriptomics Highlights the Role of the Exocrine Pancreas in Patients With Recently Diagnosed Type 1 Diabetes (2022)
- Frontiers in Endocrinology
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Persistent coxsackievirus B1 infection triggers extensive changes in the transcriptome of human pancreatic ductal cells (2022)
- iScience
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - PhosPiR: an automated phosphoproteomic pipeline in R (2022)
- Briefings in Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - scShaper: an ensemble method for fast and accurate linear trajectory inference from single-cell RNA-seq data (2022)
- Bioinformatics
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Selective loss of kisspeptin signaling in oocytes causes progressive premature ovulatory failure (2022)
- Human Reproduction
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - SMG6 localizes to the chromatoid body and shapes the male germ cell transcriptome to drive spermatogenesis (2022)
- Nucleic Acids Research
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä ) - Statistical and machine learning methods to study human CD4+ T cell proteome profiles (2022)
- Immunology Letters
(A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä )