10 Key Takeaways from Boston Tech Week: How AI Is Transforming the Future of Brain Health
Transforming Brain Health and Disease through AI #BosTechWeek May 29, 2026 AI is rapidly reshaping how we understand, diagnose, and treat the brain at a moment when aging populations are placing unprecedented strain on healthcare systems. To address this shift, Boston University and the BU Center for Brain Recovery hosted an expert panel discussion that […]
Brain Recovery After Stroke: How AI Could Be Used To Predict the Best Treatment Path
ReMIND: An AI Assistant for Neuroimaging Analysis
ReMIND: An AI Assistant for Neuroimaging Analysis Researchers in the Kolachalama Laboratory at Boston University have recently developed ReMIND, a tool powered by artificial intelligence (AI) to aid clinicians with the growing demand of interpreting and reporting on large quantities of multi-sequence brain scans. With the increasing incidence of neurological disorders, clinicians are currently facing […]
MedAI Hackathon 2026
April 10–11, 2026 The inaugural MedAI Hackathon successfully brought together over 230 registrants across the Boston University community, bridging the Charles River Campus and the Medical Campus. The event marked an exciting achievement for convergent research at BU, as participants collaborated in cross-disciplinary teams to develop AI powered solutions for real-world challenges in healthcare and […]
AIAS Best Paper: Gaining Insight into Brain Damage and Rehabilitation through Digital Twins
October 27th – 28th, 2025 Center for Brain Recovery researchers Swathi Kiran (CBR Founding Director) and Risto Miikkulainen (CBR Affiliate) were invited to present their work in the Best Paper Presentation session at the 2025 Chen Institute Symposium for AI Accelerated Science (AIAS). Out of more than 60 submissions and 29 accepted papers, Drs. Kiran […]
Advances in AI: Diagnosis & Treatment of Neurological and Neurodegenerative Disorders Symposium
October 24th, 2025 On Friday, October 24th, leading researchers from the Boston University Center for Brain Recovery (CBR) traveled to the San Francisco Bay Area to present their ground-breaking work leveraging artificial intelligence and machine learning tools for detection, treatment, and prediction of neurological and neurodegenerative disorders. Hosted in collaboration with the Tianqiao and Chrissy […]
Forecasting Recovery: CBR Faculty Awarded $3.2M NIH Grant
Center for Brain Recovery (CBR) faculty members Drs. Archana Venkataraman and Swathi Kiran have been awarded a $3.2M NIH grant from the National Institute on Deafness and Other Communication Disorders to develop computational tools that will predict language recovery in people with post-stroke aphasia. Venkataraman, an expert in machine learning, and Kiran, a clinician-scientist with […]
An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications
Cordella, C., Marte, M. J., Liu, H., & Kiran, S. (2024). An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications. Perspectives of the ASHA Special Interest Groups. https://doi.org/10.1044/2024_PERSP-24-00037 Purpose The purpose of this article is to orient clinicians and researchers to machine learning (ML) approaches, as applied to the field […]
An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications
Cordella, C., Marte, M. J., Liu, H., & Kiran, S. (2024). An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications. Perspectives of the ASHA Special Interest Groups. https://doi.org/10.1044/2024_PERSP-24-00037 Purpose The purpose of this article is to orient clinicians and researchers to machine learning (ML) approaches, as applied to the field of […]
What Can Digital Diagnosis and Digital Therapeutics Tell Us About the Brain?
BU’s Hariri Institute Teams Up With CBR To Bring Together Leaders in Digital Diagnosis and Digital Therapeutics This past April, an industry panel discussion took place at Boston University that shed light on the applications of digital diagnostics and therapeutics in brain health. Co-hosted by the Boston University Hariri Institute for Computing and the Center […]