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AI Model Flags High-Risk Pancreatic Cancer Patients 18 Months Before Diagnosis

AI Model Flags High-Risk Pancreatic Cancer Patients 18 Months Before Diagnosis
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AI model flags high-risk pancreatic cancer patients 18 months before diagnosis— Harvard Gazette

AI model flags high-risk pancreatic cancer patients 18 months before diagnosis— Harvard Gazette
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AI Model Poised for Early Pancreatic Cancer Detection

AI Model Poised for Early Pancreatic Cancer Detection
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TriNetX Expands the Breadth and Depth of its Global Research Network and Real-World Data Set Adding COVID-19 Vaccination Data to Longitudinal Patient Histories

Share this article Share this article CAMBRIDGE, Mass., Feb. 17, 2021 /PRNewswire/  TriNetX, the global health research network that revolutionizes clinical research and enables discoveries through the generation of real-world evidence (RWE), today announced that COVID-19 vaccination data is now available within the TriNetX platform and real-world data (RWD) set for clinical and observational research. Researchers across industry and academia are now equipped to initiate their own studies with de-identified patient populations that have been immunized against COVID-19 with either Pfizer-BioNTech or Moderna COVID-19 vaccines. This vaccinated population within the TriNetX data set is over 100,000 patients today and is increasing by the thousands daily as healthcare organizations on the TriNetX network refresh their data. As the data is coming from EHRs, it contains unprecedented richness and longitudinality of detailed medical histories for these patients. In addition to studying

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