Predilepsy Foundation gathers software engineers and data scientists from all around the world to develop algorithms capable to detect and predict epileptic seizures.
Predilepsy Foundation was launched in 2019 by a group of tech entrepreneurs. We believe that bringing experts from artificial intelligence, neuroscience and medical research together in one community will dramatically accelerate our understanding of epilepsy and change the way patients live with their disease.
Predilepsy Foundation has gathered an ecosystem of renamed public and private organizations in technology and epilepsy to make data available and scientifically review projects of the foundation.
Technology Partners :
Institutional Partners :
"FROM THE DAY WE WILL BE ABLE TO PREDICT SEIZURES, EPILEPSY WILL NOT LONGER BE THE SAME DISEASE AGAIN."
Professor Gilles Edan, neurologist and world-renowned specialist in multiple sclerosis
MEDICAL & SCIENTIFIC
Predilepsy Foundation's projects are supervised by a scientific committee composed of experts in neuroscience, médicine, machine learning, electrophysiology and software engineering.
HOW TO JOIN US?
The Predilepsy Foundation's Scientific Committee defines specific research goals and problems that will be the starting point for new algorithmic approaches and solutions.
If you have knowledge in domains such as machine learning, deep learning, signal treament and denoising or electrophysiology, we would love to have you join our community to bring research on epilepsy and brain signal processing further and improve patient's lives.
Public and private organizations can contribute to Predilepsy Foundation by sharing datasets with our community of data scientists. Quality brain recording data is a rare resource and sharing it may significantly improve the quality of the algorithms produced.
Collaborating with the Predilepsy Foundation may also bring new insights to your teams thanks to the strength of our community. Get in touch with us to check out how we can work together.
We can't wait to hear from you
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