Sudeshna Das

发表

Cy Sician-Revolutionizing Patient Health Monitoring System with auto-diagnosis

Prakhar Jain, Budhaditya Bhattacharya, Sudeshna Das, 2020, International Journal of Innovative Technology and Exploring Engineering.

Multi-confound regression adversarial network for deep learning-based diagnosis on highly heterogenous clinical data

H. Im, Sudeshna Das, M. Leming, 2022, ArXiv.

Plasma biomarkers for prognosis of cognitive decline in patients with mild cognitive impairment

B. Hyman, S. Arnold, P. Kivisäkk, 2022, Brain communications.

Real-time imaging of mitochondrial redox reveals increased mitochondrial oxidative stress associated with amyloid β aggregates in vivo in a mouse model of Alzheimer’s disease

K. Nilsson, B. Bacskai, Steven S. Hou, 2022, bioRxiv.

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

J. E. Iglesias, S. Arnold, B. Billot, 2022, 2209.02032.

Development and Evaluation of a Natural Language Processing Annotation Tool to Facilitate Phenotyping of Cognitive Status in Electronic Health Records: Diagnostic Study

Nicole M. Benson, D. Blacker, B. Hyman, 2022, Journal of medical Internet research.

Classification of neurologic outcomes from medical notes using natural language processing

Haoqi Sun, M. Westover, W. Ge, 2022, Expert Syst. Appl..

Causal inference in medical records and complementary systems pharmacology for metformin drug repurposing towards dementia

R. Welsch, D. Blacker, B. Hyman, 2022, Nature communications.

Adversarial confound regression and uncertainty measurements to classify heterogeneous clinical MRI in Mass General Brigham

H. Im, Sudeshna Das, M. Leming, 2022, PloS one.

Robust machine learning segmentation for large-scale analysis of heterogeneous clinical brain MRI datasets

J. E. Iglesias, S. Arnold, B. Billot, 2022, Proceedings of the National Academy of Sciences of the United States of America.

SynthSR: A public AI tool to turn heterogeneous clinical brain scans into high-resolution T1-weighted images for 3D morphometry

J. E. Iglesias, P. Golland, B. Fischl, 2023, Science advances.

Increased mitochondrial calcium levels associated with neuronal death in a mouse model of Alzheimer’s disease

Brian J. Bacskai, Alona Muzikansky, Alberto Serrano-Pozo, 2020, Nature Communications.

Endothelial Cells are Heterogeneous in Different Brain Regions and are Dramatically Altered in Alzheimer’s Disease

B. Hyman, A. Serrano‐Pozo, E. Karran, 2023, bioRxiv.

Cerebral Microvascular Injury in Severe COVID-19

E. Brown, R. Gonzalez, M. Frosch, 2020, medRxiv.

Cerebrospinal Fluid and Brain Proteoforms of the Granin Neuropeptide Family in Alzheimer’s Disease

P. Kivisäkk, Michael Bremang, B. Carlyle, 2023, Journal of the American Society for Mass Spectrometry.

Abnormality Detection i n Breast Images Using Deep Convolution Neural Network

Jhunu Debbarma, Sudeshna Das, Ankur Biswas, 2022 .

Association of BCG Vaccine Treatment With Death and Dementia in Patients With Non–Muscle-Invasive Bladder Cancer

D. Faustman, C. Magdamo, S. Chung, 2023, JAMA network open.

Distinct Transcriptomic Responses to Aβ plaques, Neurofibrillary Tangles, and APOE in Alzheimer’s Disease

B. Hyman, A. Serrano‐Pozo, E. Karran, 2023, bioRxiv.

Construction of a confounder-free clinical MRI dataset in the Mass General Brigham system for classification of Alzheimer's disease

H. Im, Sudeshna Das, M. Leming, 2022, Artif. Intell. Medicine.

Identifying Patients With Delirium Based on Unstructured Clinical Notes: Observational Study

Gregory K. Robbins, Haoqi Sun, M. Westover, 2021, JMIR formative research.

Age-dependent differences and similarities in the plasma proteomic signature of postoperative delirium

D. Culley, G. Crosby, E. J. Kim, 2023, Scientific reports.

Plasma biomarkers for diagnosis of Alzheimer's disease and prediction of cognitive decline in individuals with mild cognitive impairment

Derek H. Oakley, B. Dickerson, D. Blacker, 2022, Frontiers in Neurology.

Endothelial Cells Are Heterogeneous in Different Brain Regions and Are Dramatically Altered in Alzheimer's Disease

B. Hyman, A. Serrano‐Pozo, E. Karran, 2023, The Journal of Neuroscience.

AI-assisted prediction of differential response to antidepressant classes using electronic health records

D. Blacker, J. Smoller, C. Magdamo, 2023, NPJ digital medicine.

Cognitive concerns are a risk factor for mortality in people with HIV and coronavirus disease 2019

M. Westover, Aayushee Jain, E. Ye, 2023 .

Cortical analysis of heterogeneous clinical brain MRI scans for large-scale neuroimaging studies

J. E. Iglesias, D. Greve, Karthik Gopinath, 2023, ArXiv.

Distinct transcriptomic responses to Aβ plaques, neurofibrillary tangles, and APOE in Alzheimer's disease

B. Hyman, A. Serrano‐Pozo, E. Karran, 2023, Alzheimer's & dementia : the journal of the Alzheimer's Association.

Spatial and single-nucleus transcriptomic analysis of genetic and sporadic forms of Alzheimer’s Disease

Caden M. Henningfield, Vanessa M. Scarfone, V. Swarup, 2023, bioRxiv.

Cryopreservation of cerebrospinal fluid cells preserves transcriptomics integrity for single-cell analysis

J. Antone, Eric B. Alsop, B. Ajami, 2023, bioRxiv.

Ether lipid biosynthesis promotes lifespan extension and enables diverse pro-longevity paradigms in Caenorhabditis elegans

Mohit Jain, S. Curran, J. Watrous, 2023, eLife.

causalCmprsk: An R package for nonparametric and Cox-based estimation of average treatment effects in competing risks data

C. Magdamo, Sudeshna Das, Marie Charpignon, 2023, Comput. Methods Programs Biomed..

Real-time imaging of mitochondrial redox reveals increased mitochondrial oxidative stress associated with amyloid β aggregates in vivo in a mouse model of Alzheimer’s disease

K. Nilsson, B. Bacskai, Steven S. Hou, 2024, Molecular neurodegeneration.

Multiplexed fractionated proteomics reveals synaptic factors associated with cognitive resilience in Alzheimer’s Disease

J. Schneider, A. Nairn, D. Bennett, 2020, bioRxiv.