AI at the ICGI
"- The results of the DoMore! project so far show that it is possible to teach a computer through Deep Learning and Big Data, not only to do the same but, to establish more robust grading system in cancer types where pathology is less successful, while at the same time eliminating the subjective component."
Read the article our head of the unit for visualisation and dissemination at the ICGI, Kari Andresen, has written on AI and prognostification of cancer.
Mid Term Report for the DoMore!-project
At the end of 2018, the mid-way point of the 5-year long DoMore!-project was reached. The report showcases the challenges and results so far, but for specific results that are, or are to be, published in scientific journals, we have to refer the reader to these publications.
The goal has been to increase the number of diagnostic and prognostic tests for cancer patients to provide a more accurate prognosis for the patient. Our results so far show that it is, in fact, possible to teach a computer, not only to do the same but through Deep Learning and Big Data, to establish more robust grading systems in cancer types where pathology is less successful, while at the same time eliminating the subjective component.
Link to the report. Enjoy!
The Norwegian Government launches a National strategy for using Artificial Intelligence (AI)
On monday February 4th the Institute for Cancer Genetics and Informatics welcomed the Norwegian prime minister Erna Solberg, minister of digitalization Nikolai Astrup, Director of the South-Eastern Norway Regional Health Authority, Cathrine Lofthus and Director of the Cancer clinic at Oslo University Hosptial, Sigbjørn Smeland. Our Institute Director Håvard E. Greger Danielsen, the section for Interphase Genetics and the Section for Applied Informatics were able to demonstrate how artificial intelligence can contribute to cancer diagnosis, highlighting our research project www.domore.no.
Click here to read The Norwegian business daily Dagens Næringsliv's story about the Norwegian government's plans for a national AI strategy.
Can less cancer treatment be better treatment?
The Oslo University Hospital research blog "Ekspertsykehuset" challenged Tarjei Sveinsgjerd Hveem and communicator Kari Andresen from ICGI on how less cancer treatment may be the treatment of the future.
The DoMore! project, led by the ICGI, uses artificial intelligence to develop prognostic tools to diagnose cancer patients.
The blog is available in Norwegian only, click here to read the article.
The Institute on Instagram
ICGI works with images in many ways. Visualizations and image analysis are parts of our research and web design, photography, graphics and animated videos - all elements in our dissemination.
Follow us as @Icgidomore on Instagram to see our works. Our goal is to show a wide range of scientific and informational images and illustrations, some of them even slightly artistic.
Essential Facts on Ovarian Cancer
Kreftlex' video on ovarian cancer is now available in english on our Youtube channel. Kreftlex is our online cancer encyclopedia serving the Norwegian speaking population. The editorial board is part of our unit for dissemination and visualisation at the ICGI, and together with ovarian cancer specialists at Oslo University Hospital they have made this informative video on how ovarian cancer may occur and metastasise.
Please click here to go to www.kreftlex.no.
Kreftlex - the free cancer resource
Kreftlex editorial board at the ICGI is thrilled with the news that the NGO @Legatene now ensures continued operation and development by taking financial responsibility for www.kreftlex.no.
Read more about the Kreftlex project here
More accurate diagnostics for prostate cancer patients
Anyone who has been waiting on the results of a cancer test knows how horrible that time can be." Professor Håvard E. Danielsen has authored a blog-post on what artificial intelligence (AI) can do for prostate cancer patients (In Norwegian).
Click here to go to the Oslo University Hospital blog: "The expert Hospital"
What can digital image analysis do for cancer patients?
The atmosphere was informal when Professor Fritz Albregtsen of UiO and Institute for Cancer Genetics and Informatics - ICGI was interviewed by Teknisk Ukeblad`s journalist profile Odd Richard Valmot and chief editor Jan M Moberg about the possibility of using technological methods for prognosticating prostate cancer and other cancers.
Professor Albrigtsen is connected to our DoMore! project.
To read the article in Teknisk Ukeblad, and listen to the podcast, please click here.
A Lancet Oncology Podcast
The Lancet Oncology is a monthly journal, renowned for the publication of high-quality peer reviewed research, reviews and analysis in cancer from around the world. In the monthly podcasts, editors of the journal discuss highlights of the current issue. In February 2018, Håvard Emil Danielsen joined The Lancet Oncology to discuss his latest paper on machine learning algorithms to analyse chromatin organisation as a prognostic marker for cancer.
Listen to Professor Håvard E. Danielsen from ICGI explain how machine learning and deep learning can supplement today's diagnostic methods for cancer. The conversation is based on the recently published article Chromatin Organization and Cancer Prognosis: a pan-cancer study.
A link to the podcast may be found here.