2nd Periodic Report

cropped-oramod-rettangolare.jpgSecond Periodic Report
Period covered:
from October 1st, 2014
to November 30th, 2015

Oral cavity cancer is a rare but extremely impairing and deadly disease: it is very often diagnosed late and has therefore a disappointingly low survival rate: around 50{cbc2d05f4d7ba1a5ebf92c9270bdbee22deebb822af761a1ff2f743ee2338260} of diagnosed patients die within five years from diagnosis, disease relapses are frequent (10-25{cbc2d05f4d7ba1a5ebf92c9270bdbee22deebb822af761a1ff2f743ee2338260} of cases). Treatment decisions are particularly challenging, due to oral cavity cancer variability and unpredictability and due to the impacts of treatment and post-treatment morbidity. The challenge is to grant patients the longer possible survival and quality of life, by maximizing organs preservation. At present decisions are based on the so-called TNM (Tumor, lymph-Nodes, Metastasis) criteria, which relies on a few pathological factors in a “one-fits-all” approach, and mostly on the individual experience of the multidisciplinary team of clinicians engaged in decision making. In this sense treatment of oral cavity cancer has not yet taken full advantage of research findings in many fields (e.g. advanced diagnostic imaging interpretation, genomics) and in new technologies that allow multiscale data analysis and modelling. Clinicians are therefore seeking for an easy-to-adopt decision aid that allows an in-depth understanding and visual representation of the disease in each and any specific patient, shared by all involved medical specialists, and proposes personalized prognostic scenarios.
OraMod has developed an integrated decision support platform that combines multiscale patient’s data collection from all the data sources available in hospitals (radiology, pathology, biomolecular lab, outpatient visits facilities, etc.), with virtual representation of patient’s health records, clinical co-decision tools (Virtual Tumor Board) and prediction models. The prognognostic models developed in OraMod, contrary to the majority of “black-box” models, allow clinicians to verify the prognostic weight of each predictive marker, to perform simulations (e.g. add or remove marker sets), in a “what-if” approach. In so doing OraMod offers a “transparent” prognostic tool to clinicians, perfectly integrated inside the hospital information system and clinical workflow.

Download OraMod Second Periodic Report
Period covered:from October 1st, 2014 to November 30th, 2015