Mary Makarious (@mbmakarious) 's Twitter Profile
Mary Makarious

@mbmakarious

egyptian/مصرية 🇪🇬𓂀 • @DataTecnica • currently @NIH studying neurodegen. *omics 🧬🧠 • @geno_ml core dev • @LoyolaChicago @UCLIoN alumna • she/her

ID: 768384504

calendar_today19-08-2012 22:56:56

419 Tweet

391 Followers

588 Following

Mike A. Nalls (@mike_nalls) 's Twitter Profile Photo

Been a great day for publications from the team. Mathew Koretsky and the team great job on showing genetic overlap and in some instances a depletion of genetic risk across and within neurodegenerative diseases.

Been a great day for publications from the team. <a href="/mkoretsky1/">Mathew Koretsky</a> and the team great job on showing genetic overlap and in some instances a depletion of genetic risk across and within neurodegenerative diseases.
Ekemini A. U. Riley (@eleap29) 's Twitter Profile Photo

(1/2) Thanks to PBS News for giving me the opportunity to chat with John Yang about the groundbreaking #GBA1discovery from Aligning Science Across Parkinson’s's #GP2 researchers! Intentional #collaboration + #inclusive research paves the way for #discoveries 🙌🏾🙌🏾 We're moving full speed ahead!

sara bandres (@bandressara) 's Twitter Profile Photo

Hats off to this trio of outstanding scientists for their huge contributions to the field of PD genetics. Congrats to my mentor Andrew - Thanks for your tireless effort, perseverance and a never-give-up attitude. What a daily source of inspiration!

DataTecnica LLC (@datatecnica) 's Twitter Profile Photo

New blog post on our proof of concept for federated learning applications in healthcare. datatecnica.com/blog/federated… We show in a multi-modal precision medicine application, federated machine learning is comparable to centralized data efforts but is safe and efficient across silos!

Mike A. Nalls (@mike_nalls) 's Twitter Profile Photo

Paper out! Federated learning for multi-omics: A performance evaluation in Parkinson’s disease TL/DR: Federated learning particularly in a boosted framework is comparable to central analyses ... let's start learning across data silos now! cell.com/patterns/fullt…

Paper out!

Federated learning for multi-omics: A performance evaluation in Parkinson’s disease

TL/DR: Federated learning particularly in a boosted framework is comparable to central analyses ... let's start learning across data silos now! 

cell.com/patterns/fullt…