Research Highlights

Press/Media: Research

Description

Our recent paper "Systems modelling of the EGFR-PYK2-c-Met interaction network predicts and prioritizes synergistic drug combinations for triple-negative breast cancer" in PLOS Computational Biology has received wide coverage from international media outlets, including:

 
https://www.monash.edu/discovery-institute/news-and-events/news/kiss-of-death-cancer-how-computational-scientists-may-have-uncovered-a-therapy-for-a-deadly-disease
 
https://www.sciencedaily.com/releases/2018/06/180619141342.htm
 
https://www.genomeweb.com/informatics/computer-model-combination-therapy-prediction-triple-negative-breast-cancer-shows#.Wz1aCfZuLgw
 
https://medicalxpress.com/news/2018-06-death-cancer-geeks-uncovered-therapy.html
https://www.upi.com/Health_News/2018/06/20/Model-finds-drug-combos-to-treat-triple-negative-breast-cancer/4931529502839/
 
https://www.pharmacychoice.com/News/article.cfm?Article_ID=2033649
 
https://www.labonline.com.au/content/computing-hardware-software/news/could-a-computer-program-treat-triple-negative-breast-cancer--1367795598
Period2 Jul 2018

Media coverage

1

Media coverage

  • TitleHighlights of our new paper on drug combinations prediction and prioritization
    CountryAustralia
    Date2/07/18
    PersonsLan Nguyen, Sungyoung Shin
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