Results 201 to 210 of about 1,167,657 (303)

A scalable HPC framework for bioinformatics in resource-limited settings: design principles, implementation, and sustainability from the UVRI experience. [PDF]

Bioinformatics
Lukyamuzi E, Kimbowa Wamala T, Ssekagiri A, Galiwango R, Kebirungi G, Mugume A, Nsubuga M, Maslamoney S, Panji S, Mulder NJ, Jjingo D, Kayondo J.   +11 more
europepmc   +1 more source

A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application

Advanced Science, EarlyView.
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu, Weize Xu, Da Lin, Leqiang Sun, Jinxia Dai, Gang Cao   +5 more
wiley   +1 more source

Workplace Challenges and Policy Responses in the Caribbean Nursing Workforce: Insights From Country Chief Nurses. [PDF]

Nurs Health Sci
Lake ET, Villani D, Moronski L, Lee L, Olanrewaju S, Solaiman N, Draucker CB.   +6 more
europepmc   +1 more source

Cis‐ and Trans‐Regulatory Factors Independently Shape Phenotypic Heterogeneity of Retinitis Pigmentosa

Advanced Science, EarlyView.
A zebrafish model carrying an identical human RHO S334X allele reveals two independent genetic layers shaping retinitis pigmentosa (RP) severity: a protective 3‐bp cis‐regulatory insertion that attenuates transgene expression, and a dominant trans‐acting modifier that restores a severe phenotype.
Cong Cui, Kotone Nakagawa, Takumi Tateno, Ayaka Dan, Dexin Meng, Yoshihiro Omori, Soma Tomihara, Suzuri Okamoto, Shigeru Sato, Motokazu Tsujikawa   +9 more
wiley   +1 more source

Fulfilling the potential of traditional, complementary and integrative medicine for global health: addressing structural inequities within the research ecosystem. [PDF]

Lancet Reg Health Eur
Adams J, Steel A, Gilman N, Wrzesinski M, Matsabisa MG, Seifert G.   +5 more
europepmc   +1 more source

Plant Genetic Engineering: Technological Pathways, Application Scenarios, and Future Directions

Advanced Science, EarlyView.
This review maps the fast‐evolving landscape of plant genetic engineering, linking enabling platforms with trait‐focused applications in architecture optimization, stress resilience, yield improvement, and quality enhancement. It highlights how genome editing, transgenic strategies, and emerging multi‐gene approaches reshape breeding pipelines, while ...
Peilin Wang, Wenzhi Wang, Dongjiao Wang, Qibin Wu, Youxiong Que   +4 more
wiley   +1 more source

Organizational resilience in nursing: a concept analysis using Rodgers' evolutionary approach. [PDF]

Health Res Policy Syst
Peng Y, Ou Y, Luo X, Wang C, Xiao M, Huang H, Zhao Q.   +6 more
europepmc   +1 more source

ZSL Orchestrates Synaptonemal Complex Assembly as a Central Region Scaffold to Ensure Synapsis Fidelity and Crossover Control in Polyploid Meiosis

Advanced Science, EarlyView.
A central molecular adaptor, ZSL, is identified that links transverse filaments ZYP1 to central element SCEP1/2 to drive synaptonemal complex assembly in Brassica napus. Loss of ZSL abolishes synaptonemal complex formation, disrupts meiotic chromosome segregation, and markedly increases crossovers, providing mechanistic insight into meiotic fidelity ...
Miaowei Geng, Shaochen Jia, Fei Cao, Cuiping Liu, Heshuang Zhang, Gang Xu, Jixin Zhuang, Yashi Zhang, Can Liu, Yuhang Zhao, Zilin Guo, Xinjie Yuan, Jiaqing Yang, Lei Chu, Bowei Cai, Hu Zhao, Chao Yang   +16 more
wiley   +1 more source

Improving the quality of care for mothers, newborns, and children in ten hospitals of the Republic of Tajikistan. [PDF]

J Glob Health
Yusupova S, Rasulova G, Zakirova F, Ibragimova Z, Abdulloeva Z, Shabanov R, Yunusova D, Aminov O, Gagua T, Lomauri K, Babaeva B, Jullien S, Kuzmenko O, Tilenbaeva N, Kuttumuratova A, Weber MW, Tajikistan study group for improvement of quality of care for mothers, newborn and children.   +17 more
europepmc   +1 more source

Leveraging Artificial Intelligence and Large Language Models for Cancer Immunotherapy

Advanced Science, EarlyView.
Cancer immunotherapy faces challenges in predicting treatment responses and understanding resistance mechanisms. Artificial intelligence (AI) and machine learning (ML) offer powerful solutions for cancer immunotherapy in patient stratification, biomarker discovery, treatment strategy optimization, and foundation model development.
Xinchao Wu, Mengtao Sun, Lusheng Li, Jieqiong Wang, Shibiao Wan   +4 more
wiley   +1 more source