Results 191 to 200 of about 121,372 (312)

Artificial Intelligence in Ophthalmology: Current Status, Challenges, and Future Perspectives

Health Care Science, EarlyView.
Current research of artificial intelligence (AI) in ophthalmology. ABSTRACT Artificial intelligence (AI) is revolutionizing ophthalmology by providing innovative solutions for disease screening, diagnosis, personalized treatment, and the delivery of global healthcare services.
She Chongyang, Tao Yong
wiley   +1 more source

Microbial mechanisms of rhizosphere nitrogen cycling mediated by cotton root exudates under nitrogen reduction: roles of thiamine and L-lysine. [PDF]

BMC Plant Biol
Shen Z, He Y, Wang H, Liu M, Zhu J, Yang Y, Luan X, Zhang W, Pu X.   +8 more
europepmc   +1 more source

Hypertensive retinopathy in pre‐eclampsia and its association with disease severity and neonatal outcomes: A retrospective cohort study

International Journal of Gynecology &Obstetrics, EarlyView.
Abstract Introduction Pre‐eclampsia (PE) involves systemic endothelial dysfunction and microvascular injury, yet routine obstetric care lacks noninvasive readouts of maternal microvascular health. We evaluated whether hypertensive retinopathy (HR) detected during pregnancy is associated with maternal disease severity and adverse neonatal outcomes ...
Gabriele Saccone, Francesco Matarazzo, Mariarosaria Motta, Marika Rovetto, Michele Rinaldi, Maurizio Guida, Ciro Costagliola   +6 more
wiley   +1 more source

Plant Growth-Promoting Microorganisms Mediate Plant Metabolic Reprogramming to Manage the Rhizospheric Microbiome. [PDF]

Microorganisms
Song P, Deng Y, Yu Y, Zhang L, Liu Y.
europepmc   +1 more source

Functionally complementary bacterial inoculant coordinates arbuscular mycorrhizal fungi to improve Angelica sinensis root yield and quality

iMetaOmics, EarlyView.
Comprehensive understanding of how diverse PGPR strains enhance the rhizosphere microenvironment remains a considerable challenge. Here, we provide experimental evidence that a functionally synergistic composite microbial formulation can markedly enhance growth performance and improve the quality attributes in Angelica sinensis.
Zongyu Zhang, Yun Wang, Jiecai Zhao, Gaofeng Chen, Andéole Niyongabo Turatsinze, Liang Yue, Yuan Tian, Xiaofan Xie, Ailing Ye, Meilan Zhang, Lingling Wu, Zengxiang Guo, Yubao Zhang, Ruoyu Wang   +13 more
wiley   +1 more source

<i>Thalassiosira pseudonana</i> growth phase determines gene expression and algicidal behavior of a new <i>Alteromonas macleodii</i> strain. [PDF]

mBio
Wiener D, Bartolek Z, Dunklin R, Armbrust EV.   +3 more
europepmc   +1 more source

Navigating the future of nano‐pesticides: A perspective on design, efficacy, mechanisms, and environmental stewardship

iMeta, EarlyView.
Nano‐pesticides are driving a paradigm shift toward sustainable plant protection. This review systematically synthesizes recent advances across four interconnected domains: (i) intelligent formulation design for targeted delivery and controlled release; (ii) interfacial behavior regulation to enhance foliar deposition; (iii) multi‐omics elucidation of ...
Xile Deng, Feiying Zhu, Heng Qiao, Wenjie Shangguan, Qin Yu, Sandeep Sharma, Vijayakumar Shanmugam, Yanan Deng, Yudan Wu, Pengyue Zhao, Ullah Farman, Lidong Cao, Shuo Yan, Zhichao Dong, Lianyang Bai   +14 more
wiley   +1 more source

Human Dental Pulp Stem Cells Modulate Acute Inflammation Kinetics in the AIRmax Murine Model by Sustained TNF-Alpha Suppression and Transient Homing. [PDF]

Cells
Policiquio BO, Fonseca VG, Santos Costa G, de Souza JG, Celia Martinez Ibañez O, Ribeiro OG, Kerkis I.   +6 more
europepmc   +1 more source

Monocytes with trained immunity–like signatures are associated with acute anterior uveitis in ankylosing spondylitis

Interdisciplinary Medicine, EarlyView.
In ankylosing spondylitis‐acute anterior uveitis (AS‐AAU), trained immunity monocytes (Mono‐TI) differentiate into macrophages in the eye, retaining trained immunity features. Mono‐TI cells secrete pro‐inflammatory cytokines and chemokines, including IL‐1β, TNF‐α, and CCL3.
Yimeng Sun, Lu Zhang, Xinyu Yao, Yunfei Liu, Xin Li, Feng Wen, Yong Dai, Ye Dai, Ziyu Du, Dijie Qiao, Ziwei Meng, Cong Hu, Chun Yan, Wei Chi   +13 more
wiley   +1 more source

Enhanced diagnosis of diabetic retinopathy: integrating advanced algorithms for automated detection and classification. [PDF]

Int J Ophthalmol
Murali E, Prasad T, Hari Krishna J, Sharief AH, Nandini P.   +4 more
europepmc   +1 more source