Recent advances in genetic feature marker discovery through differential expression and biostatistical analysis
A bagging ensemble machine learning method for imbalanced data to predict anxiety disorders and analyze risk factors in older people: An observational study
EpilepsyLLM: Fine-tuning large language models for Japanese epilepsy knowledge representation
Artificial intelligence and biomarker approaches for Parkinson’s disease detection

RefSAM3D: Adapting the Segment Anything Model with cross-modal references for three-dimensional medical image segmentation
Transforming pharmaceutical quality assurance and validation through artificial intelligence
Advances in three-dimensional bioprinting and artificial intelligence for enhanced tumor modeling: Current progress and future perspectives
M2Echem: A multilevel dual encoder-based model for predicting organic chemistry reactions

Innovation management for artificial intelligence adoption in healthcare and biopharma: A mini-systematic review
Stratifying autonomic nervous system regulation patterns in healthy men: A machine learning approach
Applications of artificial intelligence in acute stroke imaging
Pediatric patient hospital length of stay prediction: A comparative analysis of Bayesian inference and machine learning approaches

Healthcare leadership in the modern age of artificial intelligence: Are we organizationally ready?
Feasibility of artificial intelligence-driven personalized learning for internal medicine residents: Integrating adaptive artificial intelligence in flipped classrooms
Artificial intelligence versus humans: A comparative analysis of time, cost, and performance on a clinical code conversion task

Expertise in AI and clinical publishing exposes peer review gaps: A perspective
A hierarchical federated learning-based health stack for future pandemic preparedness
Comparison of synthetic data generation techniques for obesity level prediction based on dietary habits and physical status

Deep vision transformers in neurodegenerative disease diagnosis using 18F-fluorodeoxyglucose positron emission tomography scans and anatomical brain atlas
Accurate early detection of Parkinson’s disease from single photon emission computed tomography imaging through convolutional neural networks