Some time ago, I wrote about how we’re now in the long-tail of machine learning in drug discovery. I noted that we’re moving past generalist applications of AI such as IBM Watson’s to more specific, purpose-built tools. This got me thinking: What are all the startups applying artificial intelligence in drug discovery currently?
Accordingly, I did some research and developed the following list, which I have grouped roughly by research phase. I update this list monthly. I’m sure that I’ve missed some, so please add any I’ve missed in the comments. Here’s what I’ve uncovered so far:
- Aggregate and Synthesize Information
- Understand Mechanisms of Disease
- Establish Biomarkers
- Generate Data and Models
- Repurpose Existing Drugs
- Generate Novel Drug Candidates
- Validate and Optimize Drug Candidates
- Design Drugs
- Design Preclinical Experiments
- Run Preclinical Experiments
- Design Clinical Trials
- Recruit for Clinical Trials
- Optimize Clinical Trials
- Publish Data
- Analyze Real World Evidence
