BEGIN:VCALENDAR VERSION:2.0 PRODID:-//wp-events-plugin.com//7.2.3.1//EN TZID:Europe/Helsinki X-WR-TIMEZONE:Europe/Helsinki BEGIN:VEVENT UID:178@inflames.utu.fi DTSTART;TZID=Europe/Helsinki:20221028T150000 DTEND;TZID=Europe/Helsinki:20221028T160000 DTSTAMP:20230120T083412Z URL:https://inflames.utu.fi/events/inflames-visiting-professor-lecture-pro fessor-tero-aittokallio/ SUMMARY:InFLAMES Visiting Professor Lecture: Professor Tero Aittokallio DESCRIPTION:Welcome to the InFLAMES Visiting Professor Lecture by Professor Tero Aittokallio on Friday October 28th. The topic of his lecture is "Pr edictive modelling of treatment responses in hematological malignancies"\n \nThe talk will take place at 3 pm in Lauren 2 auditorium\, Medisiina D bu ilding.\n\n \;\n\n\n\nProfessor Tero Aittokalllio is currently working as a group leader in Oslo University Hospital\, Institute for Cancer Rese arch and University of Oslo\, Oslo Centre for Biostatistics and Epidemiolo gy. He is also a Group Leader in Institute for Molecular Medicine Finland (FIMM)\, University of Helsinki. His group has expertise in integrating mu lti-omics profiling and clinical information from cancer patients using ma thematical and statistical approaches such as machine learning and network modeling. Tero's research profile can be found here: https://ous-research .no/aittokallio/\n\nSelected publications:\n\n Zhao Z\, Wang S\, Zucknick M\, Aittokallio T. Tissue-specific identification of multi-omics feature s for pan-cancer drug response prediction. iScience 2022\;25:104767. doi: 10.1016/j.isci.2022.104767\n Ianevski A\, Giri AK\, Aittokallio T. Full y-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data. Nature Communications 2 022\; 13: 1246. http://doi.org/10.1038/s41467-022-28803-w.\n Cichońska A \, Ravikumar B\, Allaway RJ\, Wan F\, Park S\, Isayev O\, Li S\, Mason M\, Lamb A\, Tanoli Z\, Jeon M\, Kim S\, Popova M\, Capuzzi S\, Zeng J\, Dang K\, Koytiger G\, Kang J\, Wells CI\, Willson TM\; IDG-DREAM Drug-Kinase B inding Prediction Challenge Consortium\, Oprea TI\, Schlessinger A\, Drewr y DH\, Stolovitzky G\, Wennerberg K\, Guinney J\, Aittokallio T. Crowdsou rced mapping of unexplored target space of kinase inhibitors. Nature Commu nications 2021\;12:3307. doi: 10.1038/s41467-021-23165-1.\n Akimov Y\, Bu lanova D\, Timonen S\, Wennerberg K\, Aittokallio T. Improved detection o f differentially represented DNA barcodes for high-throughput clonal pheno mics. Molecular Systems Biology 2020\; 16: e9195. doi.org/10.15252/msb.201 99195\n Ianevski A\, Lahtela J\, Javarappa KK\, Sergeev P\, Ghimire BR\, Gautam P\, Vähä-Koskela M\, Turunen L\, Linnavirta N\, Kuusanmäki H\, K ontro M\, Porkka K\, Heckman CA\, Mattila P\, Wennerberg K\, Giri AK\, Ait tokallio T.  Patient-tailored design for selective co-inhibition of leuk emic cell subpopulations. Science Advances 2020\; 7: eabe4038\, DOI: 10.1 126 / sciadv.abe4038\n ATTACH;FMTTYPE=image/jpeg:https://inflames.utu.fi/wp-content/uploads/2022/ 09/Tero_Aittokallio.png END:VEVENT BEGIN:VTIMEZONE TZID:Europe/Helsinki X-LIC-LOCATION:Europe/Helsinki BEGIN:DAYLIGHT DTSTART:20220327T040000 TZOFFSETFROM:+0200 TZOFFSETTO:+0300 TZNAME:EEST END:DAYLIGHT END:VTIMEZONE END:VCALENDAR