Artificial intelligence (AI) is revolutionizing clinical trials in geriatric populations by addressing the unique challenges of aging-related diseases and patient heterogeneity. Advanced AI techniques, including machine learning, deep learning, and A... read more
In this study, a stable nanocrystalline drug delivery system for indomethacin (IND) was rapidly developed by integrating machine learning methods with Hummer Acoustic Resonance (HAR) technology. This system effectively enhanced the solubility of IND ... read more
A positioning error prediction method based on hybrid physical information neural networks ( Hybrid-PINNs) was proposed to solve the problem of heavy CNC lathe positioning accuracy which is difficult to reliably predict in few-shot and complex workin... read more
This study presents a sustainable approach for p-nitrophenol (pNP) removal by synthesizing activated carbon with a large surface area from waste Pistacia vera shells using H3PO4 activation. Comprehensive characterization confirmed a high specific sur... read more
Recent advances in structural biology, functional genomics, and artificial intelligence (AI) have expanded understanding of the solute carrier (SLC) transporter superfamily. Emerging evidence indicates that SLC transporters play central roles in the ... read more
The ability to predict the three-dimensional structure of a protein from its amino acid sequence has potential to provide insights into its function, and in the context of disease, its pathogenic mechanisms and potential drug targets. Artificial inte... read more
Tau-protein aggregation is a central pathological feature of Alzheimer's disease, so blocking fibril growth is an attractive therapeutic goal. We curated a high-quality set of 289 literature IC50 measurements for human-tau aggregation and trained a ... read more
Prostate cancer exhibits complex transcriptional heterogeneity that underlies disease progression and therapeutic resistance. We developed an integrative omics-to-therapy pipeline to identify actionable biomarkers and screen drug candidates using a c... read more
BACKGROUND: Integrating artificial intelligence (AI) into literature searching has the potential to enhance research synthesis by improving the identification of conceptually rich or otherwise difficult-to-locate evidence. Theoretical or conceptual l... read more
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