In this free webinar, learn about using quantitative imaging methods to address the fundamental limitations of RECIST (Response Evaluation Criteria in Solid Tumours), RANO (Response Assessment in Neuro-Oncology) and mRANO (Modified Radiographic Response Assessment in Neuro-Oncology). Attendees will receive advanced quantitative insights into tumour characteristics and learn about new techniques and their emergence in clinical trials. The featured speakers will discuss deployment of multi-parametric approach for prediction of response and more.

TORONTO, Oct. 12, 2022 /PRNewswire-PRWeb/ — The failure rate of late-stage oncology clinical trials is one of the highest across therapeutic areas, whereas many promising early-stage studies may be prematurely abandoned due to presumably false negative results.

With artificial intelligence (AI) and technology, the relationship between tumour changes and tumour assessment endpoints (ORR, PFS etc.) can be modelled to enhance understanding of the drug mechanism of action in clinical oncology studies.

Join this webinar to meet IAG’s expert team and discuss the latest technological innovations and advanced imaging to support success of oncology clinical trials through quantitative insights.

Join experts from Image Analysis Group, Professor Sotirios Bisdas, MD, PhD, MSc; and Dr. Anitha Singareddy, MD, for the live webinar on Friday, October 21, 2022, at 1pm EDT (10am PDT).

For more information, or to register for this event, visit Response Prediction in Oncology Clinical Trials.

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Contact:
Vera Kovacevic
Tel: +1 (416) 977-6555 x371
Email: vkovacevic@xtalks.com

Media Contact

Vera Kovacevic, Xtalks, +1 (416) 977-6555 x371, vkovacevic@xtalks.com

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