Results 31 to 40 of about 7,447,344 (290)

Strengthening Community Antimicrobial Stewardship in Africa: A Systematic Review of the Roles, Challenges, and Opportunities of Community Health and Animal Health Workers [version 1; peer review: 1 approved, 1 approved with reservations]

Wellcome Open Research
Antimicrobial resistance (AMR) remains a critical global health challenge, and is mainly due to inappropriate antimicrobial use in human and animal health sectors.
Dathan Byonanebye, Mackline Hope, Reuben Kiggundu, Fahad Lwaigale, Herman Mwanja, Andrew Kambugu, Conrad Tumwine, JP Waswa, Hannigton Katumba, Vivian Twemanye, Flavia Dhikusooka, Francis Kakooza   +11 more
doaj   +1 more source

Low dimensional simplex evolution: a new heuristic for global optimization

, 2011
Global optimization, Heuristic, Real-coded, Evolutionary algorithm, Differential evolution, Low dimensional simplex evolution,
Bo Yu, Changtong Luo, Luo ZT(罗长童), Luo, CT, Yu B(于波)   +4 more
core   +1 more source

Central Nervous System Tumors Among Infants in Canada: A Report From CYP‐C

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Central nervous system (CNS) tumors in infants are rare, pose unique clinical challenges, and lack large‐scale evidence‐based data to guide management. This study seeks to describe CNS tumors in Canadian infants and to compare their outcomes with those of older children.
Samuel Sassine, Hallie Coltin, Sylvia Cheng, Lucie Lafay‐Cousin, Vanan Issai Magimairajan, Craig Erker, Stéphanie Vairy, Lynette Bowes, Adam Fleming, Donna Johnston, Sarah McKillop, Roona Sinha, Julie Bennett, Christina Coleman, Laura Wheaton, Shayna Zelcer, Samuele Renzi, Thai Hoa Tran   +17 more
wiley   +1 more source

A hybrid multiagent approach for global trajectory optimization [PDF]

, 2009
In this paper we consider a global optimization method for space trajectory design problems. The method, which actually aims at finding not only the global minimizer but a whole set of low-lying local minimizers (corresponding to a set of different ...
Vasile, Massimiliano, Locatelli, Marco
core   +1 more source

Utility of syndromic surveillance for the surveillance of healthcare-associated infections in resource-limited settings: a narrative review

Frontiers in Microbiology
Globally, Healthcare-associated infections (HCAIs) pose a significant threat to patient safety and healthcare systems. In low- and middle-income countries (LMICs), the lack of adequate resources to manage HCAIs, as well as the weak healthcare system ...
Herman Mwanja, J. P. Waswa, Reuben Kiggundu, Hope Mackline, Daniel Bulwadda, Daniel Bulwadda, Dathan M. Byonanebye, Dathan M. Byonanebye, Dathan M. Byonanebye, Andrew Kambugu, Francis Kakooza, Francis Kakooza   +11 more
doaj   +1 more source

Comparative Drug Response Profiling in Neuroblastoma Cell Lines and Patient‐Derived Tumor Organoids

Pediatric Blood &Cancer, EarlyView.
ABSTRACT High‐risk neuroblastoma remains a leading cause of pediatric cancer mortality, and improved preclinical models are needed to guide therapeutic developments. We screened seven high‐risk neuroblastoma cell lines and three patient‐derived tumor organoids with 528 compounds alongside bone marrow controls, and compared them with external datasets ...
Krzysztof Wierbiłowicz, Se Whee Sammy Park, Aironas Los, Ernest Liu, Nona Struyf, Tom Erkers, Sören Lehmann, Jan J. Molenaar, Jakob Stenman, Olli Kallioniemi, Päivi Östling, Brinton Seashore‐Ludlow, Kasper Karlsson   +12 more
wiley   +1 more source

Enhancing Pediatric Asthma Homecare Management: The Potential of Deep Learning Associated with Spirometry-Labelled Data

Applied Sciences
A critical factor contributing to the burden of childhood asthma is the lack of effective self-management in homecare settings. Artificial intelligence (AI) and lung sound monitoring could help address this gap. Yet, existing AI-driven auscultation tools
Heidi Cleverley-Leblanc, Johan N. Siebert, Jonathan Doenz, Mary-Anne Hartley, Alain Gervaix, Constance Barazzone-Argiroffo, Laurence Lacroix, Isabelle Ruchonnet-Metrailler   +7 more
doaj   +1 more source

Nonlinear Regression Problem of Material Functions Identification for Porous Media Plastic Flow

Engineering Transactions, 2015
In the paper we present the identification problem arising in modelling the processes of nucleation and growth of voids in the elastic–plastic media. Identification is carried out on the basis of Fisher's data measured on the cylindrical steel specimens ...
Z. Nowak, A. Stachurski
doaj   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

MyThisYourThat for interpretable identification of systematic bias in federated learning for biomedical images

npj Digital Medicine
Distributed collaborative learning is a promising approach for building predictive models for privacy-sensitive biomedical images. Here, several data owners (clients) train a joint model without sharing their original data.
Klavdiia Naumova, Arnout Devos, Sai Praneeth Karimireddy, Martin Jaggi, Mary-Anne Hartley   +4 more
doaj   +1 more source