Project overview

Chen Y, He L, Ianevski A, Nader K, Ruokoranta T, Linnavirta N, Miettinen JJ, Vähä-Koskela M, Vänttinen I, Kuusanmaki H, Kontro M, Porkka K, Wennerberg K, Heckman CA, Giri AK, Aittokallio T (2025)
A Machine Learning-Based Strategy Predicts Selective and Synergistic Drug Combinations for Relapsed Acute Myeloid Leukemia
Cancer Res (in press)
DOI 10.1158/0008-5472.CAN-24-3840, PubMed 40354625

Dechow A, Timonen S, Ianevski A, Jiang Q, Wahnschaffe L, Peng Y, Jungherz D, Becker K, Neubauer HA, Schönefeldt S, de Araujo E, Gunning P, Fleck R, Schrader A, Hallek M, Pflug N, Moriggl R, Aittokallio T, Mustjoki S, Braun T, Herling M (2025)
Dual STAT3/STAT5 inhibition as a novel treatment strategy in T-prolymphocytic leukemia
Leukemia (in press)
DOI 10.1038/s41375-025-02577-8, PubMed 40234614

Tanoli Z, Fernández-Torras A, Özcan UO, Kushnir A, Nader KM, Gadiya Y, Fiorenza L, Ianevski A, Vähä-Koskela M, Miihkinen M, Seemab U, Leinonen H, Seashore-Ludlow B, Tampere M, Kalman A, Ballante F, Benfenati E, Saunders G, Potdar S, Gómez García I, García-Serna R, Talarico C, Beccari AR, Schaal W, Polo A et al. (2025)
Computational drug repurposing: approaches, evaluation of in silico resources and case studies
Nat Rev Drug Discov (in press)
DOI 10.1038/s41573-025-01164-x, PubMed 40102635