Zobrazeno 1 - 10
of 22 476
pro vyhledávání: '"J Mark"'
Autor:
Stephen Kamau, Joyce Kigo, Paul Mwaniki, Dustin Dunsmuir, Yashodani Pillay, Cherri Zhang, Brian Nyamwaya, David Kimutai, Mary Ouma, Ismael Mohammed, Keziah Gachuhi, Mary Chege, Lydia Thuranira, J Mark Ansermino, Samuel Akech
Publikováno v:
PLOS Digital Health, Vol 3, Iss 8, p e0000408 (2024)
Several triage systems have been developed, but little is known about their performance in low-resource settings. Evaluating and comparing novel triage systems to existing triage scales provides essential information about their added value, reliabil
Externí odkaz:
https://doaj.org/article/c4b742fa1edb4a349571099a54047ca9
Autor:
Cherri Zhang, Matthew O Wiens, Dustin Dunsmuir, Yashodani Pillay, Charly Huxford, David Kimutai, Emmanuel Tenywa, Mary Ouma, Joyce Kigo, Stephen Kamau, Mary Chege, Nathan Kenya-Mugisha, Savio Mwaka, Guy A Dumont, Niranjan Kissoon, Samuel Akech, J Mark Ansermino, Pediatric Sepsis CoLab
Publikováno v:
PLOS Digital Health, Vol 3, Iss 7, p e0000311 (2024)
Infectious diseases in neonates account for half of the under-five mortality in low- and middle-income countries. Data-driven algorithms such as clinical prediction models can be used to efficiently detect critically ill children in order to optimize
Externí odkaz:
https://doaj.org/article/5f04590c61fc4ca08fab421e2ee53d33
Autor:
Joyce Kigo, Stephen Kamau, Alishah Mawji, Paul Mwaniki, Dustin Dunsmuir, Yashodani Pillay, Cherri Zhang, Katija Pallot, Morris Ogero, David Kimutai, Mary Ouma, Ismael Mohamed, Mary Chege, Lydia Thuranira, Niranjan Kissoon, J Mark Ansermino, Samuel Akech
Publikováno v:
PLOS Digital Health, Vol 3, Iss 6, p e0000293 (2024)
Models for digital triage of sick children at emergency departments of hospitals in resource poor settings have been developed. However, prior to their adoption, external validation should be performed to ensure their generalizability. We externally
Externí odkaz:
https://doaj.org/article/c17ddb3b94784a07a2a1b1ecd9e3c223
Autor:
Venkateshwari Varadharajan, Iyappan Ramachandiran, William J Massey, Raghav Jain, Rakhee Banerjee, Anthony J Horak, Megan R McMullen, Emily Huang, Annette Bellar, Shuhui W Lorkowski, Kailash Gulshan, Robert N Helsley, Isabella James, Vai Pathak, Jaividhya Dasarathy, Nicole Welch, Srinivasan Dasarathy, David Streem, Ofer Reizes, Daniela S Allende, Jonathan D Smith, Judith Simcox, Laura E Nagy, J Mark Brown
Publikováno v:
eLife, Vol 12 (2024)
Recent genome-wide association studies (GWAS) have identified a link between single-nucleotide polymorphisms (SNPs) near the MBOAT7 gene and advanced liver diseases. Specifically, the common MBOAT7 variant (rs641738) associated with reduced MBOAT7 ex
Externí odkaz:
https://doaj.org/article/3c5d86faa2f749f9b1ff225029440203
Autor:
Karen Bartholomew, Mazin Ghafel, Sandar Tin Tin, Phyu S Aye, J Mark Elwood, Claire Hardie, Nina Scott, Jacquie Kidd, Reena Ramsaroop, Ian Campbell
Publikováno v:
BMC Cancer, Vol 23, Iss 1, Pp 1-15 (2023)
Abstract Background Women with early breast cancer who meet guideline-based criteria should be offered breast conserving surgery (BCS) with adjuvant radiotherapy as an alternative to mastectomy. New Zealand (NZ) has documented ethnic disparities in s
Externí odkaz:
https://doaj.org/article/65d25efc67a94fc18d10a2c5e4db3880
Autor:
Luyang Xiong, Irina Zhevlakova, Xiaoxia Z West, Detao Gao, Rakhilya Murtazina, Anthony Horak, J Mark Brown, Iuliia Molokotina, Eugene A Podrez, Tatiana V Byzova
Publikováno v:
eLife, Vol 12 (2024)
The etiology of hair loss remains enigmatic, and current remedies remain inadequate. Transcriptome analysis of aging hair follicles uncovered changes in immune pathways, including Toll-like receptors (TLRs). Our findings demonstrate that the maintena
Externí odkaz:
https://doaj.org/article/da7dfed429404884b8cd12537ba3b2b8
Autor:
Yashodani Pillay, Joseph Ngonzi, Vuong Nguyen, Beth A Payne, Clare Komugisha, Annet Happy Twinomujuni, Marianne Vidler, Pascal M Lavoie, Lisa M Bebell, Astrid Christoffersen-Deb, Nathan Kenya-Mugisha, Niranjan Kissoon, J Mark Ansermino, Matthew O Wiens
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 8, p e0003458 (2024)
Sub-Saharan Africa accounts for two-thirds of the global burden of maternal and newborn deaths. Adverse outcomes among postpartum women and newborns occurring in the first six weeks of life are often related, though data co-examining patients are lim
Externí odkaz:
https://doaj.org/article/b8016adac0b64cea99c3d0e089c9d038
Autor:
J Mark Cleaveland
Publikováno v:
PLoS ONE, Vol 19, Iss 5, p e0301173 (2024)
The following paper describes a steady-state model of concurrent choice, termed the active time model (ATM). ATM is derived from maximization principles and is characterized by a semi-Markov process. The model proposes that the controlling stimulus i
Externí odkaz:
https://doaj.org/article/a38db697bede488babe510537758784b
Autor:
Matthew O Wiens, Vuong Nguyen, Jeffrey N Bone, Elias Kumbakumba, Stephen Businge, Abner Tagoola, Sheila Oyella Sherine, Emmanuel Byaruhanga, Edward Ssemwanga, Celestine Barigye, Jesca Nsungwa, Charles Olaro, J Mark Ansermino, Niranjan Kissoon, Joel Singer, Charles P Larson, Pascal M Lavoie, Dustin Dunsmuir, Peter P Moschovis, Stefanie Novakowski, Clare Komugisha, Mellon Tayebwa, Douglas Mwesigwa, Martina Knappett, Nicholas West, Nathan Kenya Mugisha, Jerome Kabakyenga
Publikováno v:
PLOS Global Public Health, Vol 4, Iss 4, p e0003050 (2024)
In many low-income countries, over five percent of hospitalized children die following hospital discharge. The lack of available tools to identify those at risk of post-discharge mortality has limited the ability to make progress towards improving ou
Externí odkaz:
https://doaj.org/article/0e023606d8644205a9827acd569d7c68
Autor:
Wenjia Chen, Helen K. Reddel, J Mark FitzGerald, Richard Beasley, Christer Janson, Mohsen Sadatsafavi
Publikováno v:
Respiratory Research, Vol 24, Iss 1, Pp 1-9 (2023)
Abstract Background Individualized prediction of treatment response may improve the value proposition of advanced treatment options in severe asthma. This study aimed to investigate the combined capacity of patient characteristics in predicting treat
Externí odkaz:
https://doaj.org/article/ecb1e09079e7415193bf54008146436a