Synopsis of recent research by authors named "Saki Yoshimura"
- Research by Saki Yoshimura focuses on innovative approaches to drug development, combining pharmacokinetic (PK) modeling with machine learning techniques to enhance the prediction of CNS drug concentration-time profiles and assess drug safety.
- Yoshimura has developed tools to predict the formation of reactive metabolites and constructed advanced quantitative structure-activity relationship (QSAR) models, aiming to address the challenges of incomplete data in drug discovery.
- Additionally, his work includes exploring the anatomical implications of deep brain stimulation in Tourette syndrome, highlighting the significance of the microlesion effect and optimizing stimulation parameters for therapeutic outcomes.
