AI MODELS AND METHODs FOR THE LIFE SCIENCES
Research services and infrastructure to support life scientists in the adoption of machine learning solutions that improve the utility and interpretability of image data – the key to future biological and biomedical research.
BRIDGING THE LIFE & COMPUTER SCIENCE COMMUNITIES
The goal of AI4Life is to radically reduce the disparity between the theoretical applicability and the practical use in life sciences of state-of-the-art AI-based image analysis methods. AI4Life will bridge the gap between two rapidly developing fields: AI method development, and biological imaging; providing urgently needed services through the European trans-national and virtual access infrastructures.
FOR LIFE SCIENTISTS
Use our models and methods on your data
Integration of pre-trained models empowers commonly used image analysis platforms with AI methods hence ensuring easy adoptability. With our direct user support and regular Open Calls, we will reach out to a diverse global audience building a versatile and inclusive infrastructure.
FOR COMPUTER SCIENTISTS
Share your models with the world
Our standards and services will enable computational scientists and methods developers to reach a large audience of life science users with their latest AI-based analysis methods. Participating in image analysis Challenges will encourage developers to take their methods to the next level while solving outstanding problem in the life sciences.
OPPORTUNITIES FOR THE IMAGING SCIENTISTS
To support our users, regular and targeted training events are organised in the form of workshops and seminars on usability of our services as well as its general driving principles. Method developers can benefit from specialized hackathons for implementation and integration of their tools.
Outreach activities with our Research Infrastructure partners will focus on including various scientific disciplines, including structural biology, medicinal chemistry, marine biodiversity and plant phenotyping, creating a vibrant and diverse user community.
