Artificial Intelligence Medical Compendium

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

Showing 34,371 to 34,380 of 221,510 articles

Experimental assessment of AI-based interactome mapping.

Nature communications
Genotype-phenotype relationships are mediated through intricate networks of physical and functional interactions among macromolecules. Knowledge of the interactome is vital to understand and model genetics and cellular biology. Recent advances in acc... read more 

Public opinion dissemination simulation based on large language model multi-agent systems.

Scientific reports
The Internet has fundamentally reshaped the formation and diffusion of public opinion in modern society. However, existing simulation studies often face challenges such as insufficient fidelity in evolutionary dynamics, behavioral homogenization, and... read more 

A deep learning-based multimodal model with automated body composition analysis predicts prognosis in advanced clear cell renal cell carcinoma.

Scientific reports
Clear cell renal cell carcinoma (ccRCC) is an aggressive malignancy with a high risk of postoperative recurrence. Body composition has emerged as a prognostic marker, but its clinical use is hindered by manual measurement methods and poorly interpret... read more 

scAgeClock: a single-cell transcriptome-based human aging clock model using gated multi-head attention neural networks.

npj aging
Aging clock models have emerged as a crucial tool for measuring biological age, with significant implications for anti-aging interventions and disease risk assessment. However, human aging clock models that offer single-cell resolution and account fo... read more 

FCM vectorization for Twitter sentimental analysis using multi stacked BiLSTM.

Scientific reports
Twitter data analysis gives valuable insights into various aspects of society, such as consumer opinions, political sentiments, brand reputation, and more. This information can help businesses and organizations make informed decisions, track the succ... read more 

Transformer augmented hybrid deep learning for explainable multi class pest classification.

Scientific reports
Agricultural pests continue to impose serious threats to global food security by causing major yield losses across diverse cropping systems, making early and accurate identification vital for effective pest management. With the growing integration of... read more 

Machine learning model for multi-factor risk prediction in airport construction under non-stop operations.

Scientific reports
Airport construction under non-stop operations presents unique safety challenges due to complex multi-factor interactions that traditional qualitative methods cannot adequately address. To address this, a study was conducted on 412 construction event... read more