Publication Date:
2015-03-01
Description:
Article Efficacy of anticancer treatments vary across patients, imposing a need for personalized approaches. Here the authors show that responsiveness to chemotherapy can be predicted using tumour explant cultures in a patient-matched microenvironment, coupled with a machine-learning algorithm. Nature Communications doi: 10.1038/ncomms7169 Authors: Biswanath Majumder, Ulaganathan Baraneedharan, Saravanan Thiyagarajan, Padhma Radhakrishnan, Harikrishna Narasimhan, Muthu Dhandapani, Nilesh Brijwani, Dency D. Pinto, Arun Prasath, Basavaraja U. Shanthappa, Allen Thayakumar, Rajagopalan Surendran, Govind K. Babu, Ashok M. Shenoy, Moni A. Kuriakose, Guillaume Bergthold, Peleg Horowitz, Massimo Loda, Rameen Beroukhim, Shivani Agarwal, Shiladitya Sengupta, Mallikarjun Sundaram, Pradip K. Majumder
Electronic ISSN:
2041-1723
Topics:
Biology
,
Chemistry and Pharmacology
,
Natural Sciences in General
,
Physics
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