You are warmly invited to attend a talk titled “Medical image analysis for
virtual biopsy and personalized prognostic profiling in clinical pathway”
by Lara Cavinato. The event will take place at IDSIA, Manno, Galleria 1
building, 2nd floor in a room to be announced at 15h00.
*Abstract*Clinical decision support systems, or CDSSs, represent a paradigm
shift in healthcare today as they are expected to aid clinicians in their
complex decision-making processes, encompassing data of different type and
source. In oncology, most of the information used for devising optimal and
personalized prognostic profiling is biological, which is time- and
resource-demanding to retrive, thus unfeasible to enter a CDSS workflow.
Here comes the hypothesis that imaging-derived information, namely
radiomics, can be a surrogate for biological characterization of tissues,
performing the so-called "virtual biopsy" and informing the entire
treatment planning. Given this rationale, some example of application as
well as open issues and future directions will be further discussed.
*The speaker*
Lara Cavinato is a PhD student in Data Analytics and Decision Science at
Politecnico di Milano; she spent visiting periods at the Sinha Lab (MIT)
and at the Humanitas Research Hospital.
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