Results 161 to 170 of about 14,287 (211)
A biomimetic artificial intelligence system, PancDS, has been developed to distinguish pancreatic ductal adenocarcinoma from mass‐forming pancreatitis by adaptively integrating clinical data, radiomics, and deep learning features. Validated across multicenter, reader‐study, and prospective settings, PancDS improves diagnostic accuracy, particularly for
Zhibo Wang +13 more
wiley +1 more source
PlantGFM: A Genomic Foundation Model for Discovery and Creation of Plant Genes
A plant genomic foundation model pre‐trained on 12 species enables both accurate gene prediction and de novo gene design. Through AI‐human knowledge screening, seven designed sequences showed transcriptional activity in plants, with two expressing stable proteins—demonstrating the first DNA‐RNA‐protein expression of LLM‐generated genes in plants and ...
Changhao Li +10 more
wiley +1 more source
Xenogeneic Mitochondrial Transplantation Improves Selected Age‐Associated Phenotypes in Mice
Yak‐derived xenogeneic mitochondrial transplantation improves selected age‐associated phenotypes in mice, enhances mitochondrial functional readouts, and engages host mitochondrial quality‐control pathways. Broad tissue biodistribution, increased ATP production and mtDNA copy number, reduced ROS levels and dysfunctional mitochondria, improved motility ...
Wenpeng Li +5 more
wiley +1 more source
An interpretable machine learning framework integrating SHAP and PDP analysis identifies critical design descriptors from 139 physicochemical features for Nb─Si alloys. The framework achieves <7% prediction error and guides the discovery of Nb38.5Ti38.5Si3Zr18V2 alloy with 22.791 MPa·m1/2 fracture toughness, breaking the 20 MPa·m1/2 barrier.
Dezhi Chen +7 more
wiley +1 more source
This review explores the convergence of artificial intelligence technologies in modeling drug–drug and drug–target interactions. By evaluating advanced feature engineering, architectural innovations, and learning paradigms reveals shared evolutionary trends and critical challenges, such as cold‐start settings and shortcut learning.
Xin Sun, Tong Wang
wiley +1 more source
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Higher Education Research & Development, 2023
Academic debate highlights the need to develop suitable teaching and training practices to accompany the implementation of universal design for learning (UDL) and inclusive higher education policies.
N. Timuș +4 more
semanticscholar +1 more source
Academic debate highlights the need to develop suitable teaching and training practices to accompany the implementation of universal design for learning (UDL) and inclusive higher education policies.
N. Timuș +4 more
semanticscholar +1 more source
(Re)Considering Universal Design for Learning
Journal of Special Education TechnologyReinforced by technological innovation of the 1990s, the adoption of Universal Design for Learning (UDL) encourages the education system to consider a new approach to designing better learning environments for all students.
James D. Basham, K. Lowrey
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Universal Design for Learning as a theory of inclusive practice for use by educational psychologists
Educational Psychology in Practice, 2022Educational psychologists seek to keep abreast of significant theoretical and practical developments within the field of inclusive education. This paper outlines and discusses Universal Design for Learning as a theory of inclusion, highly applicable for ...
Alexandra Sewell +2 more
semanticscholar +1 more source
Innovations in Education & Teaching International, 2022
More students with disabilities are attending university than ever before. Many universities are adopting Universal Design for Learning (UDL) as a framework for accessible course design and delivery.
Jamie L. Gunderson, Therese M. Cumming
semanticscholar +1 more source
More students with disabilities are attending university than ever before. Many universities are adopting Universal Design for Learning (UDL) as a framework for accessible course design and delivery.
Jamie L. Gunderson, Therese M. Cumming
semanticscholar +1 more source

