Albin Österroos
Research physician at Department of Medical Sciences; Haematology
- Mobile phone:
- +46 73 203 52 45
- E-mail:
- albin.osterroos@medsci.uu.se
- Visiting address:
- Akademiska sjukhuset, ing 101, plan 4
751 85 Uppsala - Postal address:
- Akademiska sjukhuset, ing 100, plan 2
751 85 Uppsala
Download contact information for Albin Österroos at Department of Medical Sciences; Haematology
Research physician at Department of Immunology, Genetics and Pathology; Research programme: Cancer Precision Medicine; Research group Ingrid Glimelius
- Mobile phone:
- +46 73 203 52 45
- Visiting address:
- Akademiska sjukhuset, ingång 100/101
751 85 Uppsala - Postal address:
- Akademiska sjukhuset, ingång 100/101
751 85 Uppsala
- ORCID:
- 0000-0001-8749-7299
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Short presentation
My research focuses on personalised medicine for aggressive haematologic malignancies, particularly acute myeloid leukaemia (AML). I aim to integrate clinical data with advanced computational biology to conduct translational studies that combine epidemiological, molecular, and multi-omic data through bioinformatic techniques. I successfully defended my thesis in September 2023.
Keywords
- acute myeloid leukemia
- clinical hematology
- clonal hematopoiesis
- precision medicine
- translational medicine
Publications
Recent publications
- Delineating functional and molecular impact of ex vivo sample handling in precision medicine (2024)
- Somatic Exonic Deletions in RUNX1 Constitutes a Novel Recurrent Genomic Abnormality in Acute Myeloid Leukemia (2023)
- Prediction model for drug response of acute myeloid leukemia patients (2023)
- Improving prognostication and treatment choices for patients with AML (2023)
- A risk score based on real-world data to predict early death in acute promyelocytic leukemia (2022)
All publications
Articles
- Delineating functional and molecular impact of ex vivo sample handling in precision medicine (2024)
- Somatic Exonic Deletions in RUNX1 Constitutes a Novel Recurrent Genomic Abnormality in Acute Myeloid Leukemia (2023)
- Prediction model for drug response of acute myeloid leukemia patients (2023)
- A risk score based on real-world data to predict early death in acute promyelocytic leukemia (2022)
- The transcriptome-wide landscape of molecular subtype-specific mRNA expression profiles in acute myeloid leukemia (2021)
- Integrated transcriptomic and genomic analysis improves prediction of complete remission and survival in elderly patients with acute myeloid leukemia (2020)
- Real-world data on treatment patterns and outcomes of hypomethylating therapy in patients with newly diagnosed acute myeloid leukaemia aged ≥ 60 years (2020)
- Combination screening in vitro identifies synergistically acting KP372-1 and cytarabine against acute myeloid leukemia (2016)
- Integrated multi-omic profiling of azacitidine-venetoclax in AML reveals additional targetable pathways to improve the treatment
Books
