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Full-Text Articles in Medicine and Health Sciences

Radiation Exposure Determination In A Secure, Cloud-Based Online Environment, Ben C. Shirley, Eliseos J. Mucaki, Peter Rogan Oct 2022

Radiation Exposure Determination In A Secure, Cloud-Based Online Environment, Ben C. Shirley, Eliseos J. Mucaki, Peter Rogan

Biochemistry Publications

Rapid sample processing and interpretation of estimated exposures will be critical for triaging exposed individuals after a major radiation incident. The dicentric chromosome (DC) assay assesses absorbed radiation using metaphase cells from blood. The Automated Dicentric Chromosome Identifier and Dose Estimator System (ADCI) identifies DCs and determines radiation doses. This study aimed to broaden accessibility and speed of this system, while protecting data and software integrity. ADCI Online is a secure web-streaming platform accessible worldwide from local servers. Cloud-based systems containing data and software are separated until they are linked for radiation exposure estimation. Dose estimates are identical to ADCI …


Assessment Of Regional Variability In Covid-19 Outcomes Among Patients With Cancer In The United States., Jessica E Hawley, Tianyi Sun, David D Chism, Narjust Duma, Julie C Fu, Na Tosha N Gatson, Sanjay Mishra, Ryan H Nguyen, Sonya A Reid, Oscar K Serrano, Sunny R K Singh, Neeta K Venepalli, Ziad Bakouny, Babar Bashir, Mehmet A Bilen, Paolo F Caimi, Toni K Choueiri, Scott J Dawsey, Leslie A Fecher, Daniel B Flora, Christopher R Friese, Michael J Glover, Cyndi J Gonzalez, Sharad Goyal, Thorvardur R Halfdanarson, Dawn L Hershman, Hina Khan, Chris Labaki, Mark A Lewis, Rana R Mckay, Ian Messing, Nathan A Pennell, Matthew Puc, Deepak Ravindranathan, Terence D Rhodes, Andrea V Rivera, John Roller, Gary K Schwartz, Sumit A Shah, Justin A Shaya, Mitrianna Streckfuss, Michael A Thompson, Elizabeth M Wulff-Burchfield, Zhuoer Xie, Peter Paul Yu, Jeremy L Warner, Dimpy P Shah, Benjamin French, Clara Hwang Jan 2022

Assessment Of Regional Variability In Covid-19 Outcomes Among Patients With Cancer In The United States., Jessica E Hawley, Tianyi Sun, David D Chism, Narjust Duma, Julie C Fu, Na Tosha N Gatson, Sanjay Mishra, Ryan H Nguyen, Sonya A Reid, Oscar K Serrano, Sunny R K Singh, Neeta K Venepalli, Ziad Bakouny, Babar Bashir, Mehmet A Bilen, Paolo F Caimi, Toni K Choueiri, Scott J Dawsey, Leslie A Fecher, Daniel B Flora, Christopher R Friese, Michael J Glover, Cyndi J Gonzalez, Sharad Goyal, Thorvardur R Halfdanarson, Dawn L Hershman, Hina Khan, Chris Labaki, Mark A Lewis, Rana R Mckay, Ian Messing, Nathan A Pennell, Matthew Puc, Deepak Ravindranathan, Terence D Rhodes, Andrea V Rivera, John Roller, Gary K Schwartz, Sumit A Shah, Justin A Shaya, Mitrianna Streckfuss, Michael A Thompson, Elizabeth M Wulff-Burchfield, Zhuoer Xie, Peter Paul Yu, Jeremy L Warner, Dimpy P Shah, Benjamin French, Clara Hwang

Kimmel Cancer Center Faculty Papers

Importance: The COVID-19 pandemic has had a distinct spatiotemporal pattern in the United States. Patients with cancer are at higher risk of severe complications from COVID-19, but it is not well known whether COVID-19 outcomes in this patient population were associated with geography.

Objective: To quantify spatiotemporal variation in COVID-19 outcomes among patients with cancer.

Design, Setting, and Participants: This registry-based retrospective cohort study included patients with a historical diagnosis of invasive malignant neoplasm and laboratory-confirmed SARS-CoV-2 infection between March and November 2020. Data were collected from cancer care delivery centers in the United States.

Exposures: Patient residence was categorized …


Radiation Exposure Determination In A Secure, Cloudbased Online Environment, Ben C. Shirley, Eliseos J. Mucaki, Joan H.M. Knoll, Peter Rogan Jan 2022

Radiation Exposure Determination In A Secure, Cloudbased Online Environment, Ben C. Shirley, Eliseos J. Mucaki, Joan H.M. Knoll, Peter Rogan

Biochemistry Publications

Rapid sample processing and interpretation of estimated exposures will be critical for triaging exposed individuals after a major radiation incident. The dicentric chromosome (DC) assay assesses absorbed radiation using metaphase cells from blood. The Automated Dicentric Chromosome Identifier and Dose Estimator System (ADCI) identifies DCs and determines radiation doses. This study aimed to broaden accessibility and speed of this system, while protecting data and software integrity. ADCI Online is a secure web-streaming platform accessible worldwide from local servers. Cloud-based systems containing data and software are separated until they are linked for radiation exposure estimation. Dose estimates are identical to ADCI …