Results 171 to 180 of about 232,550 (305)
Measurement of urban vitality and the influence mechanism of the built environment on it based on multi-source data: A case study of Yantai City. [PDF]
Zhang Y +8 more
europepmc +1 more source
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing +4 more
wiley +1 more source
Promoting vitality in a sheltered workplace: a realist evaluation protocol. [PDF]
Bom S, Hollaar M, Denktaş S, Kocken P.
europepmc +1 more source
Speech-Language Pathologists: Vital Listening and Spoken Language Professionals
K. Todd Houston, Christina B. Perigoe
openaire +1 more source
Exosomes are emerging as powerful biomarkers for disease diagnosis and monitoring. This review highlights the integration of surface‐enhanced Raman spectroscopy with artificial intelligence to enhance molecular fingerprinting of exosomes. Machine learning and deep learning techniques improve spectral interpretation, enabling accurate classification of ...
Munevver Akdeniz +2 more
wiley +1 more source
Language, identity, and survival: an ethnographic study on the revitalization of the Limola language in South Sulawesi. [PDF]
Hakim MN, Hidayat W, Jusrianto J.
europepmc +1 more source
CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Investigating the impact of problematic evidence on clinical practice guidelines and associated patient outcomes (VITALITY Study II): protocol. [PDF]
Xu C +25 more
europepmc +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Deep Learning‐Assisted Design of Mechanical Metamaterials
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong +5 more
wiley +1 more source

