AI-powered Drug Discovery: Accelerating the Development Process
Drug discovery and development is a complex, lengthy and expensive process. It can take over a decade for a new drug to progress from initial discovery to the marketplace
Drug discovery and development is a complex, lengthy and expensive process. It can take over a decade for a new drug to progress from initial discovery to the marketplace
Electronic health records (EHRs) contain a wealth of patient data that can be leveraged by artificial intelligence (AI) algorithms to improve healthcare outcomes
Artificial Intelligence (AI) is advancing healthcare across applications from medical imaging to patient monitoring
Predictive analytics refers to statistical and machine learning techniques that analyze healthcare data
Medical imaging techniques like X-rays, CT scans, and MRI scans generate high volumes of images that radiologists analyze to diagnose conditions and diseases
Dealing with imbalanced datasets is a common challenge in machine learning
Time series data captures valuable insights about trends and patterns over time
Ensemble learning refers to combining multiple machine learning models together to produce superior predictive performance compared to a single model