Results 131 to 140 of about 151,154 (193)

Machine learning-based prediction of hernia risk in peritoneal dialysis patients: a comparative study of models and SHAP-driven interpretability analysis. [PDF]

Front Med (Lausanne)
Cao Y, Hu X, Fang T, Guo J.
europepmc   +1 more source

Programmable Klebsiella pneumoniae Phage Tropism Enabled by Scalable Receptor‐Binding Protein Mining and Modular Assembly

Advanced Science, EarlyView.
This work introduces a scalable, data‐driven strategy that turns the vast sequence diversity of phage receptor‐binding proteins into modular tools for engineering customizable phages. By clustering and experimentally validating diverse RBPs, the authors build an accurate map linking sequence to host specificity and create plug‐and‐play modules that ...
Shisong Jing, Yiyao Song, Xianbiao Bi, Yuqin Song, Dawei Wei, Jiangqing Huang, Yuan Zeng, Gang Zhang, Rong Zhang, Chao Wang, Jie Feng   +10 more
wiley   +1 more source

XL-MSDigger: a deep learning-based, versatile solution for cross-linking mass spectrometry. [PDF]

Nat Commun
Chen M, Hao Y, Huang X, Wu P, Sun J, Zhang B, Chen S.   +6 more
europepmc   +1 more source

Autophagy Activators Normalize Aberrant Tau Proteostasis and Rescue Synapses in Human Familial Alzheimer's Disease iPSC‐Derived Cortical Organoids

Advanced Science, EarlyView.
A new cerebrocortical organoid model using isogenic hiPSCs with familial Alzheimer's mutations recapitulates key AD features, including amyloid‐beta and phospho‐Tau aggregation, neuronal hyperexcitability, and synapse loss. Single‐cell RNA‐seq reveals aberrant pathways in excitatory and inhibitory neurons.
Sergio R. Labra, Jadon Compher, Akhil Prabhavalkar, Mireya Almaraz, Claudia Cedeño Kwong, Christine Baal, Maria Talantova, Nima Dolatabadi, Julian Piña‐Sanz, Yubo Wang, Leonard Yoon, Swagata Ghatak, Zi Gao, Yuting Zhang, Dorit Trudler, Lynee Massey, Wei Lin, Anthony Balistreri, Michael Bula, Nicholas J. Schork, Tony S. Mondala, Steven R. Head, Jeffery W. Kelly, Stuart A. Lipton   +23 more
wiley   +1 more source

Reliability of 3D quantitative displacement of femoral neck fracture site measured via CT and its correlation with femoral head avascular necrosis: a retrospective cohort study. [PDF]

Quant Imaging Med Surg
Zhao K, Liu Y, Li H.
europepmc   +1 more source

Systematic Benchmarking of a Noise‐Tolerant Conductive Hydrogel Electrode for Epidermal Bioelectronics

Advanced Science, EarlyView.
General schematic of the approach. Abstract Conventional Silver/Silver Chloride (Ag/AgCl) electrodes remain the clinical standard for electrophysiological monitoring but are hindered by poor skin conformity, mechanical rigidity, and signal degradation, particularly under motion or sweat.
Nazmi Alsaafeen, Ioannis Ziogas, Shirina Alsaedi, Mouza Alshehhi, Shahd Almheiri, Adil Rehman, Khulood Al Shehhi, Hani Saleh, Ahsan Khandoker, Charalampos Pitsalidis, Antoun Khawaja, Anna‐Maria Pappa   +11 more
wiley   +1 more source

X-intNMF: a cross- and intra-omics regularized NMF framework for multi-omics integration. [PDF]

Bioinformatics
Bui TT, Xie R, Zhang W.
europepmc   +1 more source

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

Advanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li, Haifan Gong, Yue Wang, Yinuo Zhao, Lixiang Li, Peijing Bao, Qingzhou Kong, Jialu Fu, Boyao Wan, Yumeng Zhang, Jinghui Zhang, Jiekun Ni, Zhongxue Han, Xueping Nan, Kunping Ju, Longfei Sun, Yuerui Ma, Huijun Chang, Mengqi Zheng, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +23 more
wiley   +1 more source

Regarding: 'identification of risk factors and development of predictive models for chronic postsurgical pain after modified radical mastectomy'. [PDF]

Ann Med
Zhang Q, Jin H.
europepmc   +1 more source

S3RL: Enhancing Spatial Single‐Cell Transcriptomics With Separable Representation Learning

Advanced Science, EarlyView.
Separable Spatial Representation Learning (S3RL) is introduced to enhance the reconstruction of spatial transcriptomic landscapes by disentangling spatial structure and gene expression semantics. By integrating multimodal inputs with graph‐based representation learning and hyperspherical prototype modeling, S3RL enables high‐fidelity spatial domain ...
Laiyi Fu, Penglei Wang, Gaoyuan Xu, Jitao Lu, Qinke Peng, Danyang Wu, Hequan Sun   +6 more
wiley   +1 more source