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

Innovation management for artificial intelligence adoption in healthcare and biopharma: A mini-systematic review

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

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

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

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