ABSTRACT The traditional drug discovery and development (DDD) pipeline has long been characterized by inefficiency and high costs. The rapid evolution of artificial intelligence (AI), especially AI‐based toolkits for protein structure and interaction prediction, exemplified by AlphaFold 3 (AF3), promises to reshape the...
Song-Lin He, Liang-Bin Zhou, Xiao-Shuai Wang et al.· Exploration· 0 citations
CRISPR-based, amplification-free colorimetric sensing has emerged as a powerful approach for exosomal miRNA (Exo-miR) analysis, offering high specificity, simple operation, and direct visual readout suitable for point-of-care diagnostics. However, the sensitivity of existing systems is limited because conventional colo...
M. Lee, Minkyu Shin, Joungpyo Lim et al.· Nano Convergence· 0 citations
FemWear is a reproducible, parameter-efficient specialization delivering targeted transfer across women's-health tasks and coherent probability outputs, and is therefore a women's wearable foundation model: a reproducible, parameter-efficient specialization delivering targeted transfer across women's-health tasks and c...
An integrated risk assessment framework is proposed that combines adverse outcome pathway analysis, physiologically-based pharmacokinetic modeling, new approach methodologies, and safe-by-design principles to enable predictive hazard identification and supports evidence-based regulation of existing ENMs while enabling...
Yu-Jian Fan, Jiaying Lyu, Xiao-Kai Guo et al.· Journal of materials chemist...· 0 citations
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