Results 151 to 160 of about 5,879,357 (336)

Multi‐View Biomedical Foundation Models for Molecule‐Target and Property Prediction

Advanced Science, EarlyView.
Molecular foundation models can provide accurate predictions for a large set of downstream tasks. We develop MMELON, an approach that integrates pre‐trained graph, image, and text foundation models and validate our multi‐view model on over 120 tasks, including GPCR binding.
Parthasarathy Suryanarayanan, Yunguang Qiu, Shreyans Sethi, Diwakar Mahajan, Hongyang Li, Yuxin Yang, Elif Eyigoz, Aldo Guzmán‐Sáenz, Daniel E. Platt, Timothy H. Rumbell, Kenney Ng, Sanjoy Dey, Myson Burch, Bum Chul Kwon, Pablo Meyer, Feixiong Cheng, Jianying Hu, Joseph A. Morrone   +17 more
wiley   +1 more source

Single‐Cell Mitochondrial Lineage Tracing Decodes Fate Decision and Spatial Clonal Architecture in Human Hematopoietic Organoids

Advanced Science, EarlyView.
This study repurposes mitochondrial DNA mutations as endogenous barcodes for lineage tracing in human pluripotent stem cell‐derived organoids. Integrated with transcriptomic and spatial data, it reveals NOTCH‐mediated stromal‐progenitor crosstalk orchestrates clonal dynamics and spatial zonation during early hematopoietic development, offering a non ...
Yan Xue, Junhao Su, Yiming Chao, Lu Liu, Xinyi Lin, Yang Xiang, Mun Kay Ho, Zezhuo Su, Junyi Chen, Zhuojuan Luo, Chengqi Lin, Ruibang Luo, Theo Aurich, Jianfeng Wu, Kelvin Sin Chi Cheung, Yuanhua Huang, Joshua W. K. Ho, Ryohichi Sugimura   +17 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

Unsupervised and supervised machine learning for feature classification in atomic resolution images [PDF]

Christian H. Liebscher, Andreas Leitherer, Byung Chul Yeo, Christoph Freysoldt, Luca M. Ghiringhelli   +4 more
openalex   +1 more source

Leucine‐Dependent SLC7A5–PGAM5 Interaction Promotes Advanced Atherosclerosis Through Hindering Mitochondrial Function of Macrophages

Advanced Science, EarlyView.
Higher plasma leucine is associated with increased risk of new‐onset myocardial infarction. Leucine deprivation alleviates advanced atherosclerosis in mice. Tumor‐induced leucine deprivation reprograms macrophage metabolism and increases CD5Lhi macrophages in mouse plaques. Mechanistically, leucine deficiency reduced SLC7A5‐PGAM5 binding in macrophages,
Shan Zhong, Xueyu Wang, Qingsong Li, Siqi Wang, Bin Sun, Wenjun Ni, Gengyu Zhou, Fan Wang, Xianwei Xie, Cheng Jin, Gang Xu, Peng Zhao, Xiang Peng, Feiyuan Han, Xiangwen Xi, Yidan Wang, Juan Xu, Yue Wang, Xia Gu, Shuo Li, Jian Zhang, Shuijie Li, Jinwei Tian   +22 more
wiley   +1 more source

AI‐Based D‐Amino Acid Substitution for Optimizing Antimicrobial Peptides to Treat Multidrug‐Resistant Bacterial Infection

Advanced Science, EarlyView.
This study constructed the first D‐amino acid antimicrobial peptide dataset and developed an AI model for efficient screening of substitution sites, with 80% of candidate peptides showing enhanced activity. The lead peptide dR2‐1 demonstrated potent antimicrobial activity in vitro and in vivo, high stability, and low toxicity.
Yinuo Zhao, Qingzhou Kong, Haifan Gong, Lixiang Li, Jialu Fu, Boyao Wan, Peizhu Wang, Xiaojuan Li, Yue Wang, Jinghui Zhang, Yanbo Yu, Xiaoyun Yang, Xiuli Zuo, Haina Wang, Yanqing Li   +14 more
wiley   +1 more source

A comparative study for determining Covid-19 risk levels by unsupervised machine learning methods

, 2021
Hüseyin Fidan, Mehmet Erkan Yüksel
openalex   +2 more sources

Biomimetic Membrane Interface Technologies for Detection and Isolation of CTCs and EVs: Advances and Opportunities in Liquid Biopsy

Advanced Science, EarlyView.
Biomimetic membrane interface engineering constructs functionalized detection platforms by integrating natural cell membranes, synthetic lipids, or hybrid membranes. This strategy effectively reduces background interference and enables efficient target capture and analysis, showing broad applications in circulating tumor cell separation, extracellular ...
Duo Liu, Jie Yu, Jingxue Li, Yixue Chen, Mengle Peng, Yifan Xu, Yongjun Wu, Lihua Ding, Sitian He   +8 more
wiley   +1 more source

Automatic Electromagnetic Radiation Source Imaging and Localization Using Active and Unsupervised Machine Learning [PDF]

Jinghai Guo, Ling Zhang
openalex   +1 more source

Few-shot Learning for Unsupervised Feature Selection [PDF]

, 2021
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara   +2 more
openalex   +1 more source