Novice

Ponedeljkov fizikalni kolokvij

V ponedeljek, 14.11.2016, bo imel Andrej Studen predavanje v okviru izvolitve v naziv docenta z naslovom PET imaging with silicon sensors. Predavanje bo ob 16:15 na Fakulteti za matematiko in fiziko, Jadranska 19, predavalnica F1. Vljudno vabljeni!

Andrej Studen

 

 

 

 

ABSTRACT: Silicon seems an unlikely candidate for imaging in positron emission tomography. However, the ability to provide spatially accurate interaction positions of energetic photons can be exploited to yield significantly improved images. In the presentation, physics of PET imaging will be introduced, focusing on interplay of sensor spatial resolution and final image quality, concluded by potential application of silicon based PET imaging probes.

Journal Club #3

V sredo, 26. oktobra, bo Maruša Turk predstavila članek z naslovom Mathematical Modeling of Therapy-induced Cancer Drug Resistance: Connecting Cancer Mechanisms to Population Survival Rates. Preberete si ga lahko na sledeči povezavi. Začnemo ob 11h v P.04.

Vljudno vabljeni!

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Journal Club #2

V četrtek, 6. oktobra, bo Damijan Valentinuzzi predstavil članek z naslovom Mathematical Modeling of Cancer Immunotherapy and Its Synergy with Radiotherapy. Preberete si ga lahko na sledeči povezavi. Začnemo ob 11h v F6.

Veseli bomo, če se nam boste pridružili!

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Nevrološki srečanji v Ljubljani

V začetku oktobra (5.-6. oktober in 6.- 8. oktober) bosta potekali v Ljubljani na Gospodarskem razstavišču dve nevrološki srečanji: 48. Podonavski dnevi (tradicionalni srednje-evropski nevrološki simpozij) in 11. Kongres o nemotoričnih motnjah pri parkinsonovi bolezni. Na obeh srečanjih bo zastopano tudi področje »nevroimaginga« oziroma PET slikanj pri nevrodegenerativnih boleznih možganov. Več o obeh srečanjih in programu najdete na sledečih povezavah:

http://www.danubeneuro.org

http://nmdpd2016.kenes.com

Simpozija

Journal Club #1

V ponedeljek, 5. septembra, bo Andrej Studen v okviru prvega bralnega kluba v novi sezoni predstavil članek z naslovom Theoretical analysis and simulation study of a high-resolution zoom-in PET system. Preberete si ga lahko na sledeči povezavi.

Začetek je ob 14. uri v predavalnici F3. Veseli bomo, če se nam boste pridružili!

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Zagovora magisterijev

Vabimo vas na zagovora magisterijev, ki jih bosta imela nova člana programske skupine, Nina Verdel in Jošt Stergar.

Nina Verdel: “Silicijeva fotopomnoževalka kot senzor svetlobe Čerenkova pri pozitronski tomografiji”, v petek, 2. septembra 2016, ob 12.00 uri v Kuščerjevem seminarju na Jadranski 19.

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Jošt Stergar: “Optotermična manipulacija posameznih submikronskih delcev”, v sredo, 7. septembra 2016, ob 9.00 uri v Kuščerjevem seminarju na Jadranski 19.

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Predavanje: dr. ORLY ALTER (University of Utah, ZDA)

V sredo, 29.6.2016, ob 13h vljudno vabimo na predavanje dr. ORLY ALTER (Scientific Computing and Imaging Institute and the Huntsman Cancer Institute, University of Utah) z naslovom Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics. Predavanje bo potekalo v veliki predavalnici Instituta Jožef Stefan, Jamova 39, Ljubljana.

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Multi-Tensor Decompositions for Personalized Cancer Diagnostics and Prognostics

We are developing new mathematical frameworks to do what no others currently can, that is, create a single coherent model from multiple high-dimensional datasets, known as tensors. The frameworks – comparative spectral decompositions – generalize those that underlie the theoretical description of the physical world. We are using the frameworks to compare and contrast datasets recording different aspects of a single disease, such as genomic profiles of multiple cell types from the same set of patients, measured more than once by several different methods. By using the complex structure of the datasets, rather than simplifying them as is commonly done, the frameworks enable the separation of patterns of DNA alterations – which occur only in the tumor genomes – from those that occur in the genomes of normal cells in the body, and from variations caused by experimental inconsistencies. The patterns that we uncover in the data are expected to offer answers to the open question of the relation between a tumor’s genome and a patient’s outcome. For example, recent comparisons of the genomes of tumor and normal cells from the same sets of ovarian and, separately, glioblastoma brain cancer patients uncovered patterns of DNA copy-number alterations that were found to be correlated with a patient’s survival and response to chemotherapy. For three decades prior, the best predictor of ovarian cancer survival was the tumor’s stage; more than a quarter of ovarian tumors are resistant to the platinum-based chemotherapy, the first-line treatment, yet no diagnostic existed to distinguish resistant from sensitive tumors before the treatment. For five decades prior, the best prognostic indicator of glioblastoma was the patient’s age at diagnosis. The ovarian and brain cancer data were published, but the patterns remained unknown until the team applied their comparative spectral decompositions. Pending experimental revalidation, we will bring the patterns that we uncover to the clinic, to be used in personalized diagnostic and prognostic pathology laboratory tests. The tests would predict a patient’s survival and response to therapy, and doctors could tailor treatment accordingly.

Dr. Orly Alter:

Dr. Alter is a USTAR associate professor of bioengineering and human genetics at the Scientific Computing and Imaging Institute and the Huntsman Cancer Institute at the University of Utah. Inventor of the “eigengene,” she pioneered the matrix and tensor modeling of large-scale molecular biological data, which, as she demonstrated, can be used to correctly predict previously unknown cellular mechanisms. Dr. Alter received her Ph.D. in applied physics at Stanford University, and her B.Sc. magna cum laude in physics at Tel Aviv University. Her Ph.D. thesis on “Quantum Measurement of a Single System,” which was published by Wiley-Interscience as a book, is recognized today as crucial to the field of gravitational wave detection.

Journal Club #17

V sredo, 22. junija, bo Rok Dolenec v okviru bralnega kluba predstavil članek z naslovom Rebinning and reconstruction techniques for 3D TOF-PET. Preberete si ga lahko na sledeči povezavi.

Začetek je kot vedno ob 14. uri v predavalnici P.04. Veseli bomo, če se nam boste pridružili!

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