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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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United States , Massachusetts Institute Of Technology , Jacqueline Mitchell , Martin Rinard , Jeff Warnick , Matveyb Palchuk , Kai Jia , Katherine Haapala , Steven Kundrot , Limor Appelbaum , Irvingd Kaplan , Terms Of Service , Investigators At Beth Israel Deaconess Medical Center , Harvard Medical School , Cancer Foundation , Communications Harvard Gazette , Massachusetts Institute , Lancet Discovery , Harvard Medical , Good Men Project , Prevent Cancer Foundation , Premium Member , Premium Members , Social Interest ,

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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United States , Massachusetts Institute Of Technology , Matveyb Palchuk , Katherine Haapala , Irvingd Kaplan , Martin Rinard , Jeff Warnick , Limor Appelbaum , Steven Kundrot , Harvard Medical School , Investigators At Beth Israel Deaconess Medical Center , Massachusetts Institute , Lancet Discovery , Harvard Medical ,

AI Model Poised for Early Pancreatic Cancer Detection

AI Model Poised for Early Pancreatic Cancer Detection
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Massachusetts Institute Of Technology , United States , Steven Kundrot , Jeff Warnick , Katherine Haapala , Limor Appelbaum , Matveyb Palchuk , Irvingd Kaplan , Martin Rinard , Cancer Foundation , Investigators At Beth Israel Deaconess Medical Center , Model Flags , Many Patients , Pancreatic Cancer , Current Screening , Beth Israel Deaconess Medical Center , Massachusetts Institute , Lancet Discovery , Prevent Cancer Foundation ,

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

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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 addit ....

United Kingdom , Brecht Claerhout , Matveyb Palchuk , Bill Stetson , National Institutes Of Health , Chief Data Officer , National Institutes , Vice President , Trial Connect , ஒன்றுபட்டது கிஂக்டம் , ர சி து ஸ்டெட்சன் , தேசிய நிறுவனங்கள் ஆஃப் ஆரோக்கியம் , தலைமை தகவல்கள் அதிகாரி , தேசிய நிறுவனங்கள் , துணை ப்ரெஸிடெஂட் , சோதனை இணைக்கவும் ,