Application of machine learning methods to bridge the gap between non-interventional studies and randomized controlled trials in ophthalmic patients with neovascular age-related macular degeneration

Alexandros Sagkriotis, Usha Chakravarthy, Ray Griner, Orla Doyle, Tim Wintermantel, Andreas Clemens

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)
121 Downloads (Pure)

Fingerprint

Dive into the research topics of 'Application of machine learning methods to bridge the gap between non-interventional studies and randomized controlled trials in ophthalmic patients with neovascular age-related macular degeneration'. Together they form a unique fingerprint.

Medicine and Dentistry

Pharmacology, Toxicology and Pharmaceutical Science