Zobrazeno 1 - 10
of 4 450
pro vyhledávání: '"M, Kent"'
Autor:
Keren Ladin, John Cuddeback, O. Kenrik Duru, Sharad Goel, William Harvey, Jinny G. Park, Jessica K. Paulus, Joyce Sackey, Richard Sharp, Ewout Steyerberg, Berk Ustun, David van Klaveren, Saul N. Weingart, David M. Kent
Publikováno v:
npj Digital Medicine, Vol 7, Iss 1, Pp 1-12 (2024)
Abstract Clinical prediction models (CPMs) are tools that compute the risk of an outcome given a set of patient characteristics and are routinely used to inform patients, guide treatment decision-making, and resource allocation. Although much hope ha
Externí odkaz:
https://doaj.org/article/8225c57a8b2d4aebbf837ef224076579
Autor:
Diann J. Prosser, Cody M. Kent, Jeffery D. Sullivan, Kelly A. Patyk, Mary-Jane McCool, Mia Kim Torchetti, Kristina Lantz, Jennifer M. Mullinax
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The wild to domestic bird interface is an important nexus for emergence and transmission of highly pathogenic avian influenza (HPAI) viruses. Although the recent incursion of HPAI H5N1 Clade 2.3.4.4b into North America calls for emergency re
Externí odkaz:
https://doaj.org/article/6c15493e3c2b4e68ae60da9694f37d63
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-9 (2024)
Abstract Machine learning provides a data-driven approach for creating a digital twin of a system – a digital model used to predict the system behavior. Having an accurate digital twin can drive many applications, such as controlling autonomous sys
Externí odkaz:
https://doaj.org/article/261294193d8a4f1ca78cdfb8ec784e37
Autor:
Gregory M. Kent, Michael H. Atkins, Bryan Lung, Adele Nikitina, Ian M. Fernandes, Jamie J. Kwan, Tallulah S. Andrews, Sonya A. MacParland, Gordon M. Keller, Blair K. Gage
Publikováno v:
Cell Reports, Vol 43, Iss 8, Pp 114629- (2024)
Summary: In mice, the first liver-resident macrophages, known as Kupffer cells (KCs), are thought to derive from yolk sac (YS) hematopoietic progenitors that are specified prior to the emergence of the hematopoietic stem cell (HSC). To investigate hu
Externí odkaz:
https://doaj.org/article/02df4a49d2314ca5a9d8b39bd4826aa0
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Measuring the performance of models that predict individualized treatment effect is challenging because the outcomes of two alternative treatments are inherently unobservable in one patient. The C-for-benefit was proposed to measu
Externí odkaz:
https://doaj.org/article/23accaec1591486fa6a6c1a76cdab252
Autor:
Whitney A. Perry, MD, MS, Jennifer K. Chow, MD, MS, Jason Nelson, MPH, David M. Kent, MD, MS, David R. Snydman, MD
Publikováno v:
Transplantation Direct, Vol 9, Iss 12, p e1542 (2023)
Background. Invasive infection remains a dangerous complication of heart transplantation (HT). No objectively defined set of clinical risk factors has been established to reliably predict infection in HT. The aim of this study was to develop a clinic
Externí odkaz:
https://doaj.org/article/6927f4c891d049bf888f3482a97773bc
Publikováno v:
BMC Medical Research Methodology, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Background Baseline outcome risk can be an important determinant of absolute treatment benefit and has been used in guidelines for “personalizing” medical decisions. We compared easily applicable risk-based methods for optimal prediction
Externí odkaz:
https://doaj.org/article/7fae2319f6074400a3c12f59735e0fbd