Results 191 to 200 of about 687,736 (267)

[Pharmacologic surveillance and public health surveillance].

Gaceta sanitaria, 1997
A, Alvarez Requejo, L H, Martín Arias, A, Carvajal García-Pando   +2 more
openaire   +1 more source

Essential contributions of wildlife health surveillance to the United Nations Sustainable Development Goals. [PDF]

One Health Outlook
Noguera Z LP, Sleeman JM, Uhart MM, Cayol C, Diaz F, Montecino-Latorre D, Joly DO, Suwanpakdee S, Lyons NA, Olson SH, Pruvot M.   +10 more
europepmc   +1 more source

ZNF33B Promotes Japanese Encephalitis Virus Infection by Regulating the Stability of M6A‐Modified Trim25 to Control the Autophagy Process

Advanced Science, EarlyView.
Upon JEV infection, ZNF33B recruits METTL14 to stabilize the METTL3‐METTL14 m6A methyltransferase complex, leading to increased m6A modification of host transcripts, including Trim25 mRNA. ZNF33B selectively binds m6A‐modified sites on Trim25 mRNA and accelerates its decay, resulting in reduced TRIM25 protein abundance.
Jian Du, Chunwei Li, Jiyuan Luo, Huizhi Zhang, Jinyan Zhang, Suya Wang, Huanchun Chen, Hongli Xu, Xiangmin Li, Ping Qian   +9 more
wiley   +1 more source

ALARUM: Active One Health surveillance in LMICs to monitor and predict Antimicrobial Resistance Using Metagenomics - a cross-sectional study protocol. [PDF]

BMJ Open
van der Sande MAB, Valia D, Tigoi C, Stoesser N, Stamm L, Marten A, Riems B, Musyimi R, Sibidou Y, Schurch AC, Tiendrebeogo EW, Mwaringa S, Kohns Vasconcelos M, Ingelbeen B, Tinto H, Bielicki JA, Cooper BS, Berkley JA, van Kleef E.   +18 more
europepmc   +1 more source

SPADE: A Deep Learning Framework for Spatial Mapping and Quantitative Cell–Cell Interaction Inference

Advanced Science, EarlyView.
SPADE integrates spatial transcriptomics with single‐cell RNA sequencing by using cell–cell communications (CCC) as a guide for spatial mapping. It improves cell‐type localization, enhances sparse gene‐expression signals, and reveals CCC programs at single‐spot resolution.
Xinyi Li, Ning Zhang, Zijie Jin
wiley   +1 more source

From legacy systems to real-time response: VPD-SMART implementation and its impact on public health surveillance in Paraguay and the Americas.

SSM Health Syst
Ortiz C, Millacura FA, Atavillos C, Bravo-Alcántara P, Espinoza J, Osorio V, Baeza C, Ojeda P, Revilla F, Pacis C, Bobadilla S, Araceli F, Del Medico P, Tejo C, Rossi E, Ordoñez F, Zapata-Bedoya S, Cain E, Tavera P, Magarinos M, Whittembury A, Jean-Baptiste A, Broome K, Ovelar P, Perez T, García M, Villalobos N, Potter R, Cousirat L, Rey-Benito G, Velandia-Gonzalez M.   +30 more
europepmc   +1 more source

Comparative performance of machine learning models in predicting childhood diarrhea: implications for public health surveillance. [PDF]

J Egypt Public Health Assoc
Ashaolu JO, Akanji TS, Ayansola VI, Sunday AJ, Esther OA, Some SYM.   +5 more
europepmc   +1 more source

Targeting a Myeloid–Regulatory B Cell Network Reverses Immune Paralysis in Periprosthetic Joint Infections

Advanced Science, EarlyView.
Periprosthetic joint infection establishes a sophisticated immunosuppressive network between CXCR4+ PMN‐MDSCs and Bregs, inducing profound CD8+ T cell paralysis. Alendronate effectively disrupts this CXCR4+ PMN‐MDSC–Breg axis by targeting STAT3, thereby restoring local immune surveillance.
Jintao Wu, Shutao Zhang, Yumin Lin, Juyang Jiao, Zhiwei Fu, Qimin Hong, Ziyi Zhao, Xinhua Qu, Fei Su, Bing Yue   +9 more
wiley   +1 more source

Promoting stakeholder awareness, collaboration, and engagement in One Health surveillance with a serious game. [PDF]

One Health
Olive MM, Tolno SA, Lafia B, Ndong Bass I, Barry MA, Talla Mba M, Laury E, De Nys H, Ayouba A, Guigma Wendmisida VY, Diaz F, Bourgarel M, Muset S, Peyre M.   +13 more
europepmc   +1 more source

Causal‐Guided Ultra‐Long‐Term Time Series Forecasting Via Anticipated Covariates

Advanced Science, EarlyView.
Often treated as unknown, information from the future remains underutilized.We demonstrate that in a coupled dynamical system, providing the future state of the effect enables accurate forecasting of the cause for a long timesteps. A time series forecasting paradigm that introduces anticipated covariates to represent such known future states is ...
Jintong Zhao, Yufei Liu, Ruixi Huang, Zhongxue Gan, Siyang Leng   +4 more
wiley   +1 more source