Results 131 to 140 of about 208,599 (260)
This study analyses the uncertainty and variability existing in the economic performance of polylactic acid (PLA) production, via integrating techno‐economic analysis with process models and Monte Carlo simulation enabled by artificial intelligence. The results show that the minimum selling price varies from $2,107 to $3076/t PLA.
Yinqiao Wang +5 more
wiley +1 more source
Multi‐Site Transfer Classification of Major Depressive Disorder: An fMRI Study in 3335 Subjects
The study proposes graph convolution network with sparse pooling to learn the hierarchical features of brain graph for MDD classification. Experiment is done on multi‐site fMRI samples (3335 subjects, the largest functional dataset of MDD to date) and transfer learning is applied, achieving an average accuracy of 70.14%.
Jianpo Su +14 more
wiley +1 more source
Immune Predictors of Radiotherapy Outcomes in Cervical Cancer
This study reveals dynamic immune remodeling in cervical cancer following radiotherapy. Single‐cell analysis identifies the C3/C3AR1 axis as a central mediator of epithelial–myeloid crosstalk, whose inhibition reduces treatment efficacy in mice. Guided by these insights, the eight‐feature machine‐learning model: Cervical Cancer Radiotherapy Immune ...
Linghao Wang +8 more
wiley +1 more source
TRIM38 Suppresses Breast Cancer Progression via Modulating SQSTM1 Ubiquitination and Autophagic Flux
TRIM38, an E3 ubiquitin ligase, suppresses breast cancer progression by inhibiting proliferation, migration, and invasion. Downregulated in breast tumor, its loss correlates with poor prognosis. Mechanistically, TRIM38 mediates K63‐linked ubiquitination of SQSTM1/p62 at K420, disrupting SQSTM1‐LC3 interaction and blocking autophagic flux.
Shan Jiang +14 more
wiley +1 more source
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi +5 more
wiley +1 more source
MGM as a Large‐Scale Pretrained Foundation Model for Microbiome Analyses in Diverse Contexts
We present the Microbial General Model (MGM), a transformer‐based foundation model pretrained on over 260,000 microbiome samples. MGM learns contextualized microbial representations via self‐supervised language modeling, enabling robust transfer learning, cross‐regional generalization, keystone taxa discovery, and prompt‐guided generation of realistic,
Haohong Zhang +5 more
wiley +1 more source
Learned Conformational Space and Pharmacophore Into Molecular Foundational Model
The Ouroboros model introduces two orthogonal modules within a unified framework that independently learn molecular representations and generate chemical structures. This design enables flexible optimization strategies for each module and faithful structure reconstruction without prompts or noise.
Lin Wang +8 more
wiley +1 more source
Single‐cell profiling across bone marrow, spleen, mesenteric lymph, and blood in rhesus monkeys reveals organ Immunosenescence. GZMB rises with age, particularly in cytotoxic and terminally exhausted CD8+ T cells, and BHLHE40 emerges as a key transcription factor enriched across multiple CD8+ subsets, regulating pro‐inflammatory and exhaustion‐related ...
Shengnan Wang +10 more
wiley +1 more source
IGF‐1 deficiency underlies poor ovarian response (POR), as reduced levels in follicular fluid and granulosa cells impair antral follicle formation and compromise reproductive outcomes. Including IGF‐1 as a biomarker significantly enhances the accuracy of models predicting both PORrisk and pregnancy success.
Zhu Hu +9 more
wiley +1 more source
A Novel 10‐Protein Score for Liver Fat Content Predicts Cardiovascular‐Kidney‐Metabolic Disease Risk
A novel 10‐protein plasma score precisely quantifies liver fat, outperforming the fatty liver index. It robustly predicts the risk of numerous cardiovascular‐kidney‐metabolic diseases and integrates with genetic data for precision prevention, offering a practical alternative to magnetic resonance imaging (MRI). Abstract Liver fat content (LFC) is a key
Xiaoqin Gan +12 more
wiley +1 more source

