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Learn how TRAQinform IQ™ technology has become an essential component of clinical studies.
The current standards of quantifying the treatment response for oncology studies such as RECIST and blood tests neglect the impact of intra-patient heterogeneity. Artificial intelligence (AI) technologies continue to gain traction, by delivering in-depth assessments of treatment response and their relationship to adverse event burdens. Weill Cornell Medicine applied AIQ Solutions’ technology to patients with prostate cancer who had been treated with prostate-specific membrane antigen (PSMA)-targeted radiotherapy (known as 177Lu-PSMA-617). Join this webinar to learn how AI-assisted analysis of radiological scans enhances the understanding of treatment efficacy and adverse effects. Join this webinar to find out: What the landscape of PSMA-based radiotherapy is like How using imaging analytics can support the earlier prediction of adverse events How automated image analysis can improve treatment response assessment
AIQ Solutions' latest publication has been included in the Best of Journal of Clinical Oncology 2021 Genitourinary Cancer Edition. The study demonstrates the unique intelligence AIQ technology provides related to intra-patient treatment response heterogeneity and how that heterogeneity impacts patient clinical response. The study was a collaboration with Pfizer, Wayne State University Karmanos Cancer Institute, University of Wisconsin Carbone Cancer Center, and Rutgers Cancer Institute. You will hear directly from the researchers and technologists that made this collaboration possible and learn: • How interlesion response heterogeneity can impact clinical progression for patients • How quantitative imaging can improve treatment response assessment • How to use imaging analytics for early and rapid determination of pharmacodynamic effects with a small cohort of patients
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Learn how TRAQinform IQ™ technology has become an essential component of clinical studies.
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