Team Name | AI Generated Synthetic Data in Healthcare |
Track | Track: Health care & Life Sciences |
Use Case | using AI-generated synthetic data in hospitals can be a powerful tool for utilizing data faster and without privacy concerns. |
Technology | AI Generated Synthetic Data |
Region | Worldwide |
Team lead | Wim Kees Janssen |
Team members | Wim Kees Janssen, Marijn Vonk, Simon Brouwer, younes moustaghfir |
Social media handles |
Syntho https://www.linkedin.com/company/syntho/
Wim Kees Janssen https://www.linkedin.com/in/wimkeesjanssen/
Marijn Vonk https://www.linkedin.com/in/marijn-vonk/
Simon Brouwer https://www.linkedin.com/in/simon-albertus-jan-brouwer/
Younes Moustaghfir |
Is your team interested in participating in an interview? | Yes |
Optional: Expand on your technology expertise | Yes |
Pitch Video (2-3 minutes) - AI Generated Synthetic Data in Healthcare-Pitch.mp4
Jury Video (7-10 minutes) - AI Generated Synthetic Data in Healthcare-Jury.mp4
Everyone immediately thinks of generative AI in terms of generated text, generated photos/videos, generated audio/music.
But, of course, you can also apply generative AI to tabular data.
Synthetic data is a great example of this !
I wish you lots of success.
Koen
Hi, This was great...you identified the significance of synthetic data with relevance to statistical characteristics resemblance to real data & co relation maintained in the synthetic data 2 years back is a very thoughtful idea.
I too really believe the growing importance of synthetic data in many other applications of clinical trials as significant impact in protocol design, patient enrollment strategy & others.
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