Problem Solving:
Traditional systematic reviews are slow, resource-intensive, and quickly become outdated. LiteRev addresses these challenges by streamlining and accelerating the process of conducting literature reviews, employing advanced technologies such as natural language processing and machine learning.
Founding Team:
University of Geneva, Faculty of Medicine, Institute of Global Health
- Dr. Erol Orel (Econometrician)
- Dr. Aziza Merzouki (Computer Scientist)
- Prof. Olivia Keiser (Head of the Division of Infectious Diseases and Mathematical Modeling)
Innovation/Solution:
LiteRev holds substantial commercial relevance due to its combination of innovative features,
setting it apart from existing literature review tools.
Market Size:
Millions of students, researchers and companies
Traditional systematic reviews are slow, resource-intensive, and quickly become outdated. LiteRev addresses these challenges by streamlining and accelerating the process of conducting literature reviews, employing advanced technologies such as natural language processing and machine learning.
Founding Team:
University of Geneva, Faculty of Medicine, Institute of Global Health
- Dr. Erol Orel (Econometrician)
- Dr. Aziza Merzouki (Computer Scientist)
- Prof. Olivia Keiser (Head of the Division of Infectious Diseases and Mathematical Modeling)
Innovation/Solution:
LiteRev holds substantial commercial relevance due to its combination of innovative features,
setting it apart from existing literature review tools.
Market Size:
Millions of students, researchers and companies