Publications by authors named "Nemo Ikonen"
Article Synopsis
- The study addresses the challenge of treating advanced cancers, where cellular diversity requires therapies targeting multiple cancer cell populations.* -
- A machine learning tool called scTherapy uses single-cell transcriptomic data to identify personalized multi-targeting treatment options for patients with various cancers, like acute myeloid leukemia and ovarian carcinoma.* -
- Results show that 96% of the proposed treatments are effective and selective for cancer cells, with 83% having low toxicity to healthy cells, suggesting a promising avenue for safer and more effective cancer therapies.*
Monosomy 7 and del(7q) (-7/-7q) are frequent chromosomal abnormalities detected in up to 10% of patients with acute myeloid leukemia (AML). Despite unfavorable treatment outcomes, no approved targeted therapies exist for patients with -7/-7q. Therefore, we aimed to identify novel vulnerabilities.
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