Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 44,861 to 44,870 of 224,055 articles

Embracing the Digital Revolution: How Artificial Intelligence is Transforming Clinical Trials in Older Participants.

Drugs & aging
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 

Design and Optimization of Indomethacin Nanocrystals using Machine Learning and Molecular Dynamics Simulations.

AAPS PharmSciTech
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 

Research on precision prediction of heavy-duty lathes based on hybrid PINNS neural network.

Scientific reports
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 

Machine learning and mechanistic studies on p-nitrophenol remediation using sustainable activated carbon.

Scientific reports
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 

Technology-enabled insights into SLC transporters in MAFLD: redefining the multi-hit pathogenesis and therapeutic landscape.

Acta pharmacologica Sinica
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 

Bridging structure and function: artificial intelligence-based modelling of kidney proteins.

Nature reviews. Nephrology
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 

Integrating ensemble machine-learning and fibril docking to discover potent, novel triazole-naphthalene tau-aggregation inhibitors.

Molecular diversity
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 

Prosta-omics: machine learning-driven TPSA prediction and molecular modeling of ASPM-inhibitors for prostate cancer treatment.

Molecular diversity
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 

Searching smarter, not harder: leveraging AI to enhance literature searches for theory-driven reviews-A methodological case study.

BMC medical research methodology
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