Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Hooman H Rashidi"'
Autor:
Hooman H Rashidi, John Pepper, Taylor Howard, Karina Klein, Larissa May, Samer Albahra, Brett Phinney, Michelle R Salemi, Nam K Tran
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0263954 (2022)
The 2019 novel coronavirus infectious disease (COVID-19) pandemic has resulted in an unsustainable need for diagnostic tests. Currently, molecular tests are the accepted standard for the detection of SARS-CoV-2. Mass spectrometry (MS) enhanced by mac
Externí odkaz:
https://doaj.org/article/0b581b63b87a49779d67e81ad039cf2b
Autor:
Resmi Ravindran, Cindy McReynolds, Jun Yang, Bruce D Hammock, Aamer Ikram, Amna Ali, Adnan Bashir, Tanzeel Zohra, W L William Chang, Dennis J Hartigan-O'Connor, Hooman H Rashidi, Imran H Khan
Publikováno v:
PLoS ONE, Vol 16, Iss 7, p e0254367 (2021)
COVID-19 serological test must have high sensitivity as well as specificity to rule out cross-reactivity with common coronaviruses (HCoVs). We have developed a quantitative multiplex test, measuring antibodies against spike (S) proteins of SARS-CoV-2
Externí odkaz:
https://doaj.org/article/79c6d41b6b834a79bf8c856660cd14e9
Autor:
Hooman H Rashidi, Imran H Khan, Luke T Dang, Samer Albahra, Ujjwal Ratan, Nihir Chadderwala, Wilson To, Prathima Srinivas, Jeffery Wajda, Nam K Tran
Publikováno v:
Journal of Pathology Informatics, Vol 13, Iss 1, Pp 10-10 (2022)
High-quality medical data is critical to the development and implementation of machine learning (ML) algorithms in healthcare; however, security, and privacy concerns continue to limit access. We sought to determine the utility of “synthetic data
Externí odkaz:
https://doaj.org/article/8eef777f25f34c9d9515c4b0cc05ffb4
Autor:
Elham Vali-Betts, Kevin J Krause, Alanna Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth Beck, Aristotelis Tsirigos, Cynthia Loomis, Antonio Galvao Neto, Esther Adler, Hooman H Rashidi
Publikováno v:
Journal of Pathology Informatics, Vol 12, Iss 1, Pp 5-5 (2021)
Aims: Histology, the microscopic study of normal tissues, is a crucial element of most medical curricula. Learning tools focused on histology are very important to learners who seek diagnostic competency within this important diagnostic arena. Recent
Externí odkaz:
https://doaj.org/article/6c14c16e2ba54b69a13a0fb1dd43a478
Autor:
Hooman H. Rashidi, Aamer Ikram, Luke T. Dang, Adnan Bashir, Tanzeel Zohra, Amna Ali, Hamza Tanvir, Mohammad Mudassar, Resmi Ravindran, Nasim Akhtar, Rana I. Sikandar, Mohammed Umer, Naeem Akhter, Rafi Butt, Brandon D. Fennell, Imran H. Khan
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract Accurate screening of COVID-19 infection status for symptomatic patients is a critical public health task. Although molecular and antigen tests now exist for COVID-19, in resource-limited settings, screening tests are often not available. Fu
Externí odkaz:
https://doaj.org/article/4adbf614c982480c9cf92dc0df122c95
Autor:
Lorne Holland, Dongguang Wei, Kristin A Olson, Anupam Mitra, John Paul Graff, Andrew D Jones, Blythe Durbin-Johnson, Ananya Datta Mitra, Hooman H Rashidi
Publikováno v:
Journal of Pathology Informatics, Vol 11, Iss 1, Pp 5-5 (2020)
Background: Little is known about the effect of a minimum number of slides required in generating image datasets used to build generalizable machine-learning (ML) models. In addition, the assumption within deep learning is that the increased number o
Externí odkaz:
https://doaj.org/article/4586d7216ab342fca9888fabf25e4323
Autor:
Molly A Moor, Miguel A Fraga, Richard S Garfein, Hooman H Rashidi, John Alcaraz, Donna Kritz-Silverstein, John P Elder, Stephanie K Brodine
Publikováno v:
PLoS ONE, Vol 12, Iss 11, p e0188590 (2017)
Anemia is a public health concern among women in rural Baja California, Mexico. The purpose of this study was to identify the individual and community factors contributing to the disproportionately high prevalence of anemia among women in this region
Externí odkaz:
https://doaj.org/article/5242ec91ffe242f19d0ccdde5de124c0
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
One of the core elements of Machine Learning (ML) is statistics and its embedded foundational rules and without its appropriate integration, ML as we know would not exist. Various aspects of ML platforms are based on statistical rules and most notabl
Externí odkaz:
https://doaj.org/article/0c25151e79284e0aa525b3bb67851423
Publikováno v:
Journal of Thrombosis and Haemostasis. 21:728-743
Autor:
Samer Albahra, Tom Gorbett, Scott Robertson, Giana D'Aleo, Sushasree Vasudevan Suseel Kumar, Samuel Ockunzzi, Daniel Lallo, Bo Hu, Hooman H. Rashidi
Publikováno v:
Seminars in Diagnostic Pathology. 40:71-87