Machine Learning Models for Human In Vivo Pharmacokinetic Parameters with In-House Validation

= 0.50) were identified. Based on the findings, our machine learning models have considerable potential for practical applications in drug discovery, such as influencing decision-making in drug discovery projects and progression of drug candidates toward the clinic.