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White Papers & Posters

Spatiotemporal evolution of lesion response heterogeneity to 177Lu-DOTATATE therapy in advanced gastroenteropancreatic neuroendocrine tumors

University of Wisconsin-Madison, School of Medicine and Public Health, WONIX (Wisconsin Oncology Network of Imaging Excellence)
The purpose of this investigation was to understand and quantify the inter-lesion heterogeneity in treatment response seen on 68Ga-DOTATATE PET/CT imaging over the course of Lutathera therapy
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Actionable Intelligence on Pharmacodynamic Effects Improves Clinical Studies

AIQ Solutions
The value of quantitative knowledge related to intra-patient heterogeneity and its advancements in clinical studies is significant. As the pharmaceutical industry continues its progression into larger, more expensive randomized Phase II studies, the risk in terms of finances, resources and time becomes much greater, especially when there is limited understanding of an asset's efficacy potential. Learn how AIQ's technology platform supports a better understanding of those assets through four life science applications.
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Intra-Patient Heterogeneity of Treatment Response in Complex Diseases

AIQ Solutions
Not all patients respond the same way to a given therapy. This paper discusses how heterogeneity of treatment response is under-recognized and how AIQ's technology platform was developed to address this unmet need.
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AIQ Technology: A Next Generation Platform for Treatment Response Assessment

AIQ Solutions
Treatment response heterogeneity is clinically relevant because resistance in a very small fraction of lesions can drive negative overall outcomes. This paper discusses how AIQ's technology platform goes beyond traditional evaluation approaches to provide actionable intelligence to inform treatment decisions by physicians and advance research for new therapies.
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This document contains claims that have not been reviewed by the FDA.  For information about applications in commercial distribution for patient management, see www.aiq-solutions.com/customers/hospitals