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Understanding Novel Response Patterns of Immunotherapies

Immunotherapies display novel response patterns that affect the design of imaging based studies and the subsequent evaluation of imaging data. Applying traditional chemotherapy-based response assumptions to immunotherapy trials can result in inaccurate interpretation of response, premature therapy termination, and unnecessary removal of subjects from a trial. Our unique solutions for medical image analysis and management and iBiopsy® for imaging phenotyping, together with our global team of experts, are advancing the development of new drugs and diagnostic tools to monitor disease and assess response to therapy.

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Harmonization of radiomic feature distributions: impact on classification of hepatic tissue in CT imaging

Hubert Beaumont [1], Antoine Iannessi [2], Anne-Sophie Bertrand [3], Jean Michel Cucchi [3], Olivier Lucidarme [4] - Affiliations: [1] Median Technologies, Valbonne , France. [2] Centre Antoine Lacassagne, Nice, France. [3] Centre Hospitalier Princesse Grâce, Monaco. [4] Hopital La Pitié Salpêtrière, Paris, France.

This scientific paper published in European Radiology addresses the generalizability of classification models performances in improving the reliability of radiomic features using harmonized data. The work was conducted on diseased/non-diseased liver images and evaluated two different harmonization approaches. This paper is a result of a collaboration between Centre Hospitalier Princesse Grâce, Monaco, AP-HP La Pitié Salpêtrière, Paris and Median Technologies.

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