7th International Conference on Pervasive Computing Technologies for Healthcare

Research Article

Adding Individual Patient Case Data to The Melanoma Targeted Therapy Advisor

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  • @INPROCEEDINGS{10.4108/icst.pervasivehealth.2013.252076,
        author={Alban Maxhuni and Jovan Stevovic and Iman Khaghanifar and Jeff Shrager and Gregorio Convertino and Randy Gobbel},
        title={Adding Individual Patient Case Data to The Melanoma Targeted Therapy Advisor},
        proceedings={7th International Conference on Pervasive Computing Technologies for Healthcare},
        publisher={IEEE},
        proceedings_a={PERVASIVEHEALTH},
        year={2013},
        month={5},
        keywords={targeted therapies melanoma therapy efficacy personalized medicine genomics cancer biomedical knowledge},
        doi={10.4108/icst.pervasivehealth.2013.252076}
    }
    
  • Alban Maxhuni
    Jovan Stevovic
    Iman Khaghanifar
    Jeff Shrager
    Gregorio Convertino
    Randy Gobbel
    Year: 2013
    Adding Individual Patient Case Data to The Melanoma Targeted Therapy Advisor
    PERVASIVEHEALTH
    ICST
    DOI: 10.4108/icst.pervasivehealth.2013.252076
Alban Maxhuni1, Jovan Stevovic2,*, Iman Khaghanifar3, Jeff Shrager4, Gregorio Convertino5, Randy Gobbel6
  • 1: CREATE-NET
  • 2: CRG - Centro Ricerche GPI
  • 3: DISI - University of Trento
  • 4: Stanford University
  • 5: Xerox Research Centre Europe
  • 6: CollabRx
*Contact email: jovan.stevovic@cr-gpi.it

Abstract

The emergence of genomically targeted cancer treatments has spurred the development of methods that correlate genomic information with treatments and outcomes. Because this information is usually pulled from published literature, such methods are limited to summarizing only the data generated through the slow and narrow publication pipeline. However, many thousands of patients are treated each year whose data does not make it into publications. Each of these is, in effect, a case study whose capture would add to our overall knowledge of cancer treatment, and could speed up the search for treatments and cures. Our work extends one such literature- based system, the Melanoma Targeted Therapy Advisor (TTA), by adding direct patient profiling. This extension of the TTA, or PTTA (Personalized or Patient TTA), both enriches the TTA knowledge base by collecting case reports directly from patients, and gives patients and/or physicians immediate feedback by ranking the best-performing treatments for genomic profiles of interest to them. The PTTA will permit patients to register their test and treatment results and then to obtain rankings for additional potentially useful tests and treatments. It will also provide a report with statistical and literature evidence that justifies the rankings. These functionalities can aid physicians in treating patients in the most effective manner.