Sudeshna Das

ORCID

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 30

Top Venues

Nature communications

Proceedings of the National Academy of Sciences of the United States of America

Science advances

NPJ digital medicine

Massachusetts General Hospital

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Massachusetts General Hospital

United States

Asst. Professor :: Neurology

Publications

Sulochan Malla, Annie G Bryant, Rojashree Jayakumar, Benjamin Woost, Nina Wolf, Andrew Li, Sudeshna Das, Susanne J van Veluw, Rachel E Bennett
Molecular profiling of frontal and occipital subcortical white matter hyperintensities in Alzheimer's disease. bioRxiv : the preprint server for biology (2024)
Sulochan Malla, Annie G Bryant, Rojashree Jayakumar, Benjamin Woost, Nina Wolf, Andrew Li, Sudeshna Das, Susanne J van Veluw, Rachel E Bennett
Molecular profiling of frontal and occipital subcortical white matter hyperintensities in Alzheimer's disease. bioRxiv : the preprint server for biology (2024)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Yi-Han Sheu, Colin Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W Smoller
AI-assisted prediction of differential response to antidepressant classes using electronic health records. NPJ digital medicine 6 (1) (2023)
Yi-Han Sheu, Colin Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W Smoller
AI-assisted prediction of differential response to antidepressant classes using electronic health records. NPJ digital medicine 6 (1) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Juan Eugenio Iglesias, Benjamin Billot, Yael Balbastre, Colin Magdamo, Steven E Arnold, Sudeshna Das, Brian L Edlow, Daniel C Alexander, Polina Golland, Bruce Fischl
SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry. Science advances 9 (5) (2023)
Yi-Han Sheu, Colin Magdamo, Matthew Miller, Sudeshna Das, Deborah Blacker, Jordan W Smoller
AI-assisted prediction of differential response to antidepressant classes using electronic health records. NPJ digital medicine 6 (1) (2023)
Benjamin Billot, Colin Magdamo, You Cheng, Steven E Arnold, Sudeshna Das, Juan Eugenio Iglesias
Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets. Proceedings of the National Academy of Sciences of the United States of America 120 (9) (2023)
Sudeshna Das, Zhaozhi Li, Astrid Wachter, Srinija Alla, Ayush Noori, Aicha Abdourahman, Joseph A Tamm, Maya E Woodbury, Robert V Talanian, Knut Biber, Eric H Karran, Bradley T Hyman, Alberto Serrano-Pozo
Distinct Transcriptomic Responses to Aβ plaques, Neurofibrillary Tangles, and APOE in Alzheimer's Disease. bioRxiv : the preprint server for biology (2023)
Wendong Ge, Haitham S Alabsi, Aayushee Jain, Elissa Ye, Haoqi Sun, Marta Fernandes, Colin Magdamo, Ryan A Tesh, Sarah I Collens, Amy Newhouse, Lidia M V R Moura, Sahar F Zafar, John Hsu, Oluwaseun Akeju, Gregory K Robbins, Shibani S Mukerji, Sudeshna Das, Michael Brandon Westover
Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study. JMIR formative research 6 (6) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Pia Kivisäkk, Colin Magdamo, Bianca A Trombetta, Ayush Noori, Yi Kai E Kuo, Lori B Chibnik, Becky C Carlyle, Alberto Serrano-Pozo, Clemens R Scherzer, Bradley T Hyman, Sudeshna Das, Steven E Arnold
Plasma biomarkers for prognosis of cognitive decline in patients with mild cognitive impairment. Brain communications 4 (4) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Ayush Noori, Colin Magdamo, Xiao Liu, Tanish Tyagi, Zhaozhi Li, Akhil Kondepudi, Haitham S Alabsi, Emily Rudmann, Douglas Wilcox, Laura N Brenner, Gregory K Robbins, Lidia M V R Moura, Sahar F Zafar, Nicole M Benson, John Hsu, John R Dickson, Alberto Serrano-Pozo, Bradley T Hyman, Deborah Blacker, Michael Brandon Westover, Shibani S Mukerji, Sudeshna Das
Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study. Journal of medical Internet research 24 (8) (2022)
Marie-Laure Charpignon, Bella Vakulenko-Lagun, Bang Zheng, Colin Magdamo, Bowen Su, Kyle Evans, Steve Rodriguez, Artem Sokolov, Sarah A Boswell, Yi-Han Sheu, Melek Somai, Lefkos Middleton, Bradley T Hyman, Rebecca A Betensky, Stan N Finkelstein, Roy E Welsch, Joanna Tzoulaki, Deborah Blacker, Sudeshna Das, Mark W Albers
Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia. Nature communications 13 (1) (2022)
Alberto Serrano-Pozo, Zhaozhi Li, Ayush Noori, Huong N Nguyen, Aziz Mezlini, Liang Li, Eloise Hudry, Rosemary J Jackson, Bradley T Hyman, Sudeshna Das
Effect of APOE alleles on the glial transcriptome in normal aging and Alzheimer's disease. Nature aging 1 (10) (2021)
Lucía Viejo, Ayush Noori, Emily Merrill, Sudeshna Das, Bradley T Hyman, Alberto Serrano-Pozo
Systematic review of human post-mortem immunohistochemical studies and bioinformatics analyses unveil the complexity of astrocyte reaction in Alzheimer's disease. Neuropathology and applied neurobiology (2021)
Marta Fernandes, Haoqi Sun, Aayushee Jain, Haitham S Alabsi, Laura N Brenner, Elissa Ye, Wendong Ge, Sarah I Collens, Michael J Leone, Sudeshna Das, Gregory K Robbins, Shibani S Mukerji, Michael Brandon Westover
Classification of the Disposition of Patients Hospitalized with COVID-19: Reading Discharge Summaries Using Natural Language Processing. JMIR medical informatics 9 (2) (2021)
John Conklin, Matthew P Frosch, Shibani S Mukerji, Otto Rapalino, Mary Maher, Pamela W Schaefer, Michael H Lev, Ramon Gilberto González, Sudeshna Das, Samantha N Champion, Colin Magdamo, Pritha Sen, George Kyle Harrold, Haitham Alabsi, Erica Normandin, Bennett M Shaw, Jacob E Lemieux, Pardis C Sabeti, John A Branda, Emery Neal Brown, Michael Brandon Westover, Susie Y Huang, Brian L Edlow
Cerebral Microvascular Injury in Severe COVID-19. medRxiv : the preprint server for health sciences (2020)
Maria Calvo-Rodriguez, Steven S Hou, Austin C Snyder, Elizabeth K Kharitonova, Alyssa N Russ, Sudeshna Das, Zhanyun Fan, Alona Muzikansky, Monica Garcia-Alloza, Alberto Serrano-Pozo, Eloise Hudry, Brian J Bacskai
Increased mitochondrial calcium levels associated with neuronal death in a mouse model of Alzheimer's disease. Nature communications 11 (1) (2020)
Layal Antoury, Ningyan Hu, Leonora Balaj, Sudeshna Das, Sofia Georghiou, Basil Darras, Timothy W Clark, Xandra O Breakefield, Thurman M Wheeler
Analysis of extracellular mRNA in human urine reveals splice variant biomarkers of muscular dystrophies. Nature communications 9 (1) (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Sudeshna Das