Results 211 to 220 of about 517,396 (274)
The Role of Artificial Intelligence in Medication Management for Older Adults: A Systematic Review
Artificial intelligence enhances medication management for older adults by improving adherence, personalizing treatment, and predicting risks. Despite benefits, challenges remain in usability, trust, ethics, and system integration. Successful adoption requires user‐centered design, ethical safeguards, and seamless healthcare integration to ensure safe,
Dipak Chandra Das +9 more
wiley +1 more source
Attention-enhanced corn disease diagnosis using few-shot learning and VGG16. [PDF]
Rani R, Sahoo J, Bellamkonda S, Kumar S.
europepmc +1 more source
ABSTRACT This paper examines the determinants of generative AI (GenAI) knowledge and usage among agricultural extension professionals. Drawing on survey data from agricultural extension personnel in Tennessee, we employ regression analyses and latent Dirichlet allocation (LDA) for topic modeling of open‐ended responses to study the knowledge and usage ...
Abdelaziz Lawani +3 more
wiley +1 more source
Evaluation of Different Few-Shot Learning Methods in the Plant Disease Classification Domain. [PDF]
Uzhinskiy A.
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
Hybrid Modeling of the Reversed-Phase Chromatographic Purification of an Oligonucleotide: Few-Shot Learning From Differentiable Physics Solver-in-the-Loop. [PDF]
Chen YC +3 more
europepmc +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
Few-shot learning for inference in medical imaging with subspace feature representations. [PDF]
Liu J, Fan K, Cai X, Niranjan M.
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
Few-Shot Learning in Wi-Fi-Based Indoor Positioning. [PDF]
Xie F, Lam SH, Xie M, Wang C.
europepmc +1 more source

