Manuel J. Marte

Postdoc, CCC-SLP @HopkinsMedicine / PhD @AphasiaLab / proud SUNY alum (@newpaltz, @UBuffalo).

[Manuel J. Marte @manueljmarte]

Excited to start 2025 with a paper out in @StrokeAHA_ASA (https://t.co/iXXjqP1eku)

We tested the efficacy of candidate predictive models to predict treatment outcomes in bilingual aphasia – critical for personalizing approaches for Spanish-English stroke survivors. 1/3

[Manuel J. Marte @manueljmarte]

Indeed, I've been fortunate. On that note, I'm also happy to share that I've started a postdoctoral fellowship with Dr. Argye Hillis at @HopkinsMedicine, where I'll be working on longitudinal/predictive/multimodal modeling and neuromodulation, among other fun things. Stay tuned!

[Manuel J. Marte @manueljmarte]

Happy to share that I recently defended my dissertation! Big thanks to my committee, my INCREDIBLE colleagues, and @AphasiaLab especially – for the many years of guidance, and for creating a rich, rigorous, collaborative intellectual environment at the Center for Brain Recovery.

[Manuel J. Marte @manueljmarte]

Today is #BUGivingDay. As a PhD student at @AphasiaLab, I contribute to research that helps people with aphasia reclaim their lives.

Donations support life-changing programs for 2M+ Americans affected. Read more: https://t.co/VtZjjtHHeC

Donate here: https://t.co/F9amoYnrgY

[Center for Brain Recovery @AphasiaLab]

March is National Traumatic Brain Injury (TBI) Awareness Month.

The ICCR Program is a 12-week intensive therapy program for young adults with stroke, TBI, and other acquired brain injuries (ABI).

You can support programs like this by making your gift at https://t.co/eRQe2GmZcE

[Andreas Charidimou MD, PhD @a_charidimou]

🧠Neurological disorders are complex—and so is the science behind improving diagnosis and treatment!

At the Center for Brain Recovery (@AphasiaLab) I work alongside an incredible team using cutting-edge research to tackle these challenges head-on — including how cerebral small vessel disease shapes outcomes in stroke and dementia.

Your support is vital. Please consider donating: https://t.co/OIbsC18JT1

#NeuroTwitter #stroke #Neurology #dementia #Alzheimers #brain #MedStudentTwitter #AmyloidAngiopathy #CAA #cSVD #BrainHealth #Neuroscience #DonateForResearch #FundScience

[Center for Brain Recovery @AphasiaLab]

On March 19, BU President Dr. Gilliam visited the Center for Brain Recovery. We had the opportunity to share with her insights into our Center's core research objectives, methodologies, upcoming initiatives, and accomplishments. #precisionhealth #AI

📸: Sophie Freeman

[Stroke AHA/ASA @StrokeAHA_ASA]

#STROKE: Machine learning modelling can be used to predict treated language improvement and cross-language generalization in Spanish-English bilingual individuals with poststroke aphasia. #AHAJournals https://t.co/5EEMfqfpsi

[Manuel J. Marte @manueljmarte]

@ThosVarley We Have Never Been Woke by Musa al-Gharbi is excellent

[Marco Calabria @marco_calabria]

📰New paper out in Cortex! 🧠
We found a clear #dissociation between #languageswitching deficits and #nonlinguistic control, as assessed across 4 different tasks.
📲Check it out and read more at: https://t.co/IGof0oHXT9

#neuropsychology #bilingualism #MCI

[Manuel J. Marte @manueljmarte]

@HendersonShalom @BU_Tweets @AphasiaLab We're so excited to have you!!

[Claudia Peñaloza 🇺🇦 @claudiapenaloza.bsky.social @ClaudiaNeuropsi]

Great start of the year with the publication of our work led by @manueljmarte @AphasiaLab on the prediction of language treatment response in #bilingual #aphasia using #machinelearning. Check it out! 👇 https://t.co/gbbX5af41v

[Manuel J. Marte @manueljmarte]

@StrokeAHA_ASA This work provides the first data-driven evidence for how multiple factors shape recovery in bilingual aphasia – and may help clinicians better anticipate treatment response. Thanks to amazing colleagues and guidance from @AphasiaLab @UTAustin @ClaudiaNeuropsi and others! 3/3

[Manuel J. Marte @manueljmarte]

Excited to start 2025 with a paper out in @StrokeAHA_ASA (https://t.co/iXXjqP1eku)

We tested the efficacy of candidate predictive models to predict treatment outcomes in bilingual aphasia – critical for personalizing approaches for Spanish-English stroke survivors. 1/3

[Manuel J. Marte @manueljmarte]

@StrokeAHA_ASA Using ML, we achieved strong predictive performance (e.g., F1 ≥ 0.77) by considering language severity, cognitive abilities, and demographics. Most exciting: Untreated language abilities & cognitive performance emerged as key predictors of cross-language generalization. 2/3

[Manuel J. Marte @manueljmarte]

@besttrousers He also did helicopter money in Of the Balance of Trade (1752), the man was cooking

[Manuel J. Marte @manueljmarte]

@wmatchin It’s, for now, the least-bad option for information (and very little enter/infotainment; there’s just little incentive for it without monetization). I agree though, Bsky will “enshittify” sooner or later, the pile of ad dollars earmarked for their base grows by the day.

[Manuel J. Marte @manueljmarte]

@BodhiCogSci Having read her book, I do not agree with some claims in that chapter, but one interpretation that accords is UGF (https://t.co/aNpQq1KQq1)

[Sargent College, Boston University @BUSargent]

Check out our new documentary series 📽️: “Living With #Aphasia." Featuring experts and participants from @BU_Tweets Aphasia Resource Center, the series offers insight into a condition affecting more than 2 million Americans. Chapter 1 of 5 launched TODAY⬇️
https://t.co/UMR9PabIWp

[Manuel J. Marte @manueljmarte]

@fernandaedi Congrats! I’m a huge fan of the VSI series.