Artificial Intelligence and Biomedicine
This learning journey is designed to introduce artificial intelligence (AI) in the field of biomedicine. Caveats and limitations of AI are discussed. Specific examples of AI applications in healthcare and drug discovery are also explored in this journey.
1. Where can AI help? – the knowledge ladder
By Prof. John Fox – University of Oxford, UK
An excerpt from Artificial intelligence in medicine: history & state of the art
-
Play Where can AI help? – the knowledge ladder
2. Machine learning and its methods
By Prof. John Fox – University of Oxford, UK
An excerpt from Artificial intelligence in medicine: scaling & deployment of applications
-
Play Machine learning and its methods
3. Where should human users be?
By Prof. James Giordano – Georgetown University Medical Center, USA
An excerpt from Big data, artificial intelligence and biosecurity on the global stage 1
-
Play Where should human users be?
4. Caveats of AI and big data
By Prof. James Giordano – Georgetown University Medical Center, USA
An excerpt from Big data, artificial intelligence and biosecurity on the global stage 2
-
Play Caveats of AI and big data
5. Identifying patients for diagnosis and treatment using AI
By Prof. Richard E. Gliklich – OM1, USA
An excerpt from AI for medical devices
-
Play Identifying patients for diagnosis and treatment using AI
6. Big data in drug discovery
By Mr. Ed Addison – Chairman of Cloud Pharmaceuticals and Adjunct Professor at North Carolina State University, USA
An excerpt from AI and big data in drug discovery
-
Play Big data in drug discovery
7. How can AI help drug discovery?
By Dr. Olexandr Isayev – Carnegie Mellon University, USA
An excerpt from Accelerating drug discovery with machine learning and AI
-
Play How can AI help drug discovery?