Real-world applications of ML in bioanalytical research are vast and varied:
Personalized Medicine: ML models can predict which treatments will be most effective for individual patients based on their genetic profiles. Biomarker Discovery: ML can identify potential biomarkers for diseases, facilitating early diagnosis and targeted therapies. Drug Repurposing: Analyzing existing drug data to find new therapeutic uses for approved drugs. Clinical Trials: Enhancing patient selection and monitoring through predictive analytics, thereby improving trial outcomes.
