Advances in three-dimensional bioprinting and artificial intelligence for enhanced tumor modeling: Current progress and future perspectives

Transforming pharmaceutical quality assurance and validation through artificial intelligence

Artificial intelligence and biomarker approaches for Parkinson’s disease detection

Recent advances in genetic feature marker discovery through differential expression and biostatistical analysis

Healthcare leadership in the modern age of artificial intelligence: Are we organizationally ready?

Pediatric patient hospital length of stay prediction: A comparative analysis of Bayesian inference and machine learning approaches

M2Echem: A multilevel dual encoder-based model for predicting organic chemistry reactions

EpilepsyLLM: Fine-tuning large language models for Japanese epilepsy knowledge representation

A bagging ensemble machine learning method for imbalanced data to predict anxiety disorders and analyze risk factors in older people: An observational study

Large language models-in-the-loop: Leveraging expert small artificial intelligence models for multilingual anonymization and de-identification of protected health information