Results 221 to 230 of about 334,720 (282)

Targeted Extracellular Vesicles Deliver Asiaticoside to Inhibit AURKB/DRP1‐Mediated Mitochondrial Fission and Attenuate Hypertrophic Scar Formation

Advanced Science, EarlyView.
Hypertrophic scar formation is driven by excessive mitochondrial fission in wound macrophages, which we discover is governed by a novel AURKB‐DRP1(Ser616) axis. The study develops a targeted therapy using cRGD‐decorated extracellular vesicles to deliver the natural compound Asiaticoside specifically to macrophages.
Luyu Li, Chenli Si, Xue Wang, Xiaojin Wu, Ying Shang, Shengfang Ge, Yong Wang, Yong Zuo, Zhen Zhang   +8 more
wiley   +1 more source

Coupled Above‐ and Belowground Ecosystem Stability Worldwide

Advanced Science, EarlyView.
Are the worlds above and below our feet in sync? This global exploration reveals an entangled fate between above‐ and belowground ecosystem stability. It identifies arid regions as hotspots for this coupling and highlights temperature stability as a vital safeguard for maintaining ecosystem balance across our warming planet.
Zexin Meng, Huiwen Li, Yiping Wu, Peter B. Reich, Nico Eisenhauer, Diego Abalos, Daniel Revillini, Shuguang Liu, Wende Yan, Ji Chen, Alexey Voinov, Zhifeng Yang, Ying‐Ping Wang, Fubo Zhao, Linjing Qiu, Jingfeng Xiao, Shantao An, Guopeng Liang, Manuel Delgado‐Baquerizo   +18 more
wiley   +1 more source

AI-driven discovery of blood xenobiotic biomarkers in neovascular age-related macular degeneration using iterative random forests. [PDF]

Graefes Arch Clin Exp Ophthalmol
Künzel SE, Frentzel DP, Flesch LTM, Knecht VA, Rübsam A, Dreher F, Schütte M, Dubrac A, Lange B, Yaspo ML, Lehrach H, Joussen AM, Zeitz O.   +12 more
europepmc   +1 more source

Multicohort Validation of Gut Microbiome Signatures for Cholangiocarcinoma Diagnosis and Functional Characterization of Bifidobacterium Pseudocatenulatum

Advanced Science, EarlyView.
This study analyzes gut bacteria in cholangiocarcinoma patients, revealing distinct microbial signatures that enable accurate disease detection. Species‐based diagnostic models achieved over 98% accuracy in identifying cholangiocarcinoma and distinguished it from other liver diseases. The research demonstrates that specific beneficial bacteria suppress
Benchen Rao, Jianwen Jiang, Ruiqing Zhang, Dongya Zhang, Chenchen Zhang, Ang Li, Haifeng Lu, Hua Zhang, Lin Zhou, Wenzhi Guo, Peihao Wen, Jianfeng Xue, Jie Pan, Tuerganaili Aji, Zhou Lan, Xianzhi Jiang, Shusen Zheng, Zujiang Yu, Zhigang Ren   +18 more
wiley   +1 more source

Exploring the predictors affecting the sense of community of Korean high school students: application of random forests and SHAP. [PDF]

Front Psychol
Jang E, Chung H.
europepmc   +1 more source

His‐MMDM: Multi‐Domain and Multi‐Omics Translation of Histopathological Images with Diffusion Models

Advanced Science, EarlyView.
His‐MMDM is a diffusion model‐based framework for scalable multi‐domain and multi‐omics translation of histopathological images, enabling tasks from virtual staining, cross‐tumor knowledge transfer, and omics‐guided image editing. ABSTRACT Generative AI (GenAI) has advanced computational pathology through various image translation models.
Zhongxiao Li, Tianqi Su, Bin Zhang, Wenkai Han, Sibin Zhang, Guiyin Sun, Yuwei Cong, Xin Chen, Jiping Qi, Yujie Wang, Shiguang Zhao, Hongxue Meng, Peng Liang, Xin Gao   +13 more
wiley   +1 more source

Machine Learning‐Enhanced Analysis of Exosomal Surface Sialic Acid Using Surface‐Enhanced Raman Spectroscopy for Ovarian Cancer Diagnosis and Therapeutic Monitoring

Advanced Science, EarlyView.
Machine learning‐assisted surface‐enhanced Raman spectroscopy analysis of exosomal sialic acid for ovarian cancer diagnosis, as well as independent monitoring of exosomal sialic acid expression levels across different treatment periods, reveals a potential correlation with treatment response.
Lili Cong, Jiaqi Wang, Sijun Huang, Xiaxia Man, Yi Guo, Shuping Xu, Songling Zhang   +6 more
wiley   +1 more source

Predicting nutrition and environmental factors associated with female reproductive disorders using a knowledge graph and random forests. [PDF]

Int J Med Inform
Chan LE, Casiraghi E, Reese J, Harmon QE, Schaper K, Hegde H, Valentini G, Schmitt C, Motsinger-Reif A, Hall JE, Mungall CJ, Robinson PN, Haendel MA.   +12 more
europepmc   +1 more source

Substituent‐Based Modulation of Self‐Assembly and Immunogenicity of Amphipathic Peptides

Advanced Science, EarlyView.
This study systematically investigates how positional and subtle changes, such as substituents on the phenyl ring attached to short amphipathic peptides, influence their self‐assembly, fibril morphology, and immunogenic responses. ABSTRACT Self‐assembled peptide‐based biomaterials provide versatile platforms for biomedical uses, featuring customizable ...
Anirban Das, Ushasi Pramanik, Elise M. Brown, Chih‐Yun Liu, Huan Gong, Jonathan Fascetti, Mark Gibson, Samuel Stealey, Silviya P. Zustiak, Cory Berkland, Piyoosh Sharma, Meredith E. Jackrel, Mark A. White, Jai S. Rudra   +13 more
wiley   +1 more source

Quantifying salinity in calcareous soils through advanced spectroscopic models: A comparative study of random forests and regression techniques across diverse land use systems. [PDF]

PLoS One
Tahmoures M, Honarbakhsh A, Afzali SF, Nourzadeh Hadad M, Ostovari Y.   +4 more
europepmc   +1 more source