
The MELD project
@meld_project
The Multi-centre Epilepsy Lesion Detection (MELD) Project is an open-science consortium applying deep-learning to clinical MRI data in epilepsy patients
ID: 1397503894889107458
http://meldproject.github.io 26-05-2021 10:45:08
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280 Followers
60 Following

What a pleasure to chat to Torie Robinson 🇺🇦 about The MELD project and our work using machine-learning to find subtle epilepsy causing brain abnormalities on MRI! Big shout-out to Hannah Spitzer Mathilde Ripart @KonradWagstyl who are all working incredibly hard on this

Check out the phenomenal applied neuroscience being done by Sophie Adler and the The MELD project . Sizzlingly hot science being used to help patients and discover at the same time.

Great collaboration with The MELD project and huge group of enthusiastic researchers led by Sophie Adler and @KonradWagstyl EpiCARE #codedtoconnect

Hienoa kansainvälistä epilepsuatutkimusyhteistyötä @KYS_Sairaala University of Eastern Finland aivotutkimusyksikkö @kuo_brain_mind ja The MELD project


Congratulations to the The MELD project team!👏 Their incredible collaboration has created technology that could identify the cause of epilepsy more quickly, allowing people with a certain type of epilepsy to receive treatment sooner. We're proud to be a part of this research.👇

Collaborative study The MELD project featuring some of our amazing researchers Lucy Vivash Dr Ben Anna Willard Terence O'Brien @MonashCCS Alfred Research Alliance #neuroscience #ArtificialIntelligence detects brain abnormalities that could help cure epilepsy sciencedaily.com/releases/2022/…

Congratulations to Sophie Adler who beautifully presented how the The MELD project, and more generally AI, can help cure epilepsy at the @Epilepsy2022 conference today!


Surely the fact that I have heard about it in at least 4 different #AES2022 talks, is a testament to the impressive real world impact of The MELD project (attached the most recent example from Irene Wang, PhD, FAES's fantastic keynote) Hat off, Sophie Adler @KonradWagstyl 👏🏼





"Rather than statistical significance of group-level differences, effect size should be used as an indicator of a variable's biomarker potential. The minimal required effects size for individual biomarkers—a Cohen's d of 1.25—is large.." Epileptic Disorders: doi.org/10.1002/epd2.2…
