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Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke.
Khurshid S, Friedman SF, Kany S, et al. Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke. Circulation. Arrhythmia and electrophysiology. 2024:e012959. doi:10.1161/CIRCEP.124.012959DOIPubMedGoogle Scholar
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Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke.
Khurshid S, Friedman SF, Kany S, et al. Electrocardiogram-Based Artificial Intelligence to Discriminate Cardioembolic Stroke and Stratify Risk of Atrial Fibrillation After Stroke. Circulation. Arrhythmia and electrophysiology. 2024:e012959. doi:10.1161/CIRCEP.124.012959DOIPubMedGoogle Scholar
Read more
Deep Learning-Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation.
Raghu A, Raghu A, Wise JF. Deep Learning-Based Identification of Tissue of Origin for Carcinomas of Unknown Primary Using MicroRNA Expression: Algorithm Development and Validation. JMIR bioinformatics and biotechnology. 2024;5:e56538. doi:10.2196/56538DOIPubMedGoogle Scholar
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Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier CA, Mora SA, et al. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European stroke journal. 2024:23969873241260154. doi:10.1177/23969873241260154DOIPubMedGoogle Scholar
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Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan.
Chen Y, Rivier CA, Mora SA, et al. Deep learning survival model predicts outcome after intracerebral hemorrhage from initial CT scan. European stroke journal. 2024:23969873241260154. doi:10.1177/23969873241260154DOIPubMedGoogle Scholar
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Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning.
Laubscher E, Wang X, Razin N, et al. Accurate single-molecule spot detection for image-based spatial transcriptomics with weakly supervised deep learning. Cell systems. 2024;15(5):475-482.e6. doi:10.1016/j.cels.2024.04.006DOIPubMedGoogle Scholar
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Analysis of 3D pathology samples using weakly supervised AI.
Song AH, Williams M, Williamson DFK, et al. Analysis of 3D pathology samples using weakly supervised AI. Cell. 2024;187(10):2502-2520.e17. doi:10.1016/j.cell.2024.03.035DOIPubMedGoogle Scholar
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Creating and troubleshooting microscopy analysis workflows: Common challenges and common solutions.
Cimini BA. Creating and troubleshooting microscopy analysis workflows: Common challenges and common solutions. Journal of microscopy. 2024. doi:10.1111/jmi.13288DOIPubMedGoogle Scholar
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Creating and troubleshooting microscopy analysis workflows: common challenges and common solutions.
Cimini BA. Creating and troubleshooting microscopy analysis workflows: common challenges and common solutions. ArXiv. 2024.PubMedGoogle Scholar
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SpheroScan: a user-friendly deep learning tool for spheroid image analysis.
Akshay A, Katoch M, Abedi M, et al. SpheroScan: a user-friendly deep learning tool for spheroid image analysis. GigaScience. 2022;12. doi:10.1093/gigascience/giad082DOIPubMedGoogle Scholar
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In March of 2020, Broad Institute converted a clinical genetics processing lab into a large-scale COVID-19 testing facility in less than two weeks.

We've screened more than 1,275 cancer cell lines as part of the Cancer Dependency Map (DepMap).

Broad Genomics Platform sequences a whole human genome every four minutes.

More than 11,000 individuals living with cancer in the United States and Canada have partnered with Count Me In to share their experiences and help accelerate cancer research.

The Drug Repurposing Hub is one of the most comprehensive and up-to-date biologically annotated collections of FDA-approved compounds in the world. Researchers anywhere can explore more than 6,000 drugs in the hub and search for possible new uses for them to jump-start new drug discovery.

In 2021, our sustainability efforts sent more than 80 percent of waste from the Genomics Platform to either a recycling facility or to an incineration plant that generates electricity.

Through Broad's Scientists in the Classroom program, Broad researchers visit every 8th grade classroom in Cambridge each year to talk about genetics and evolution.

Every summer, 18 high school students spend six weeks at Broad working side-by-side with mentors on cutting-edge research.

In November 2022, Broad’s Genomics Platform sequenced its 500,000th whole human genome, a mere four years after sequencing its 100,000th.

By the end of 2022, Broad’s COVID-19 testing lab had processed more than 37 million tests.

Working with Addgene, Broad Institute has shared CRISPR genome-editing reagents with researchers at more than 3,200 institutions in 76 countries.

The NeuroGAP-Psychosis project, a collaboration between the Stanley Center for Psychiatric Research and Harvard T.H. Chan School of Public Health to study the genetics of severe mental illness, has recruited more than 42,000 participants in Ethiopia, Kenya, Uganda, and South Africa.

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