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Development of electronic health record based algorithms to identify individuals with diabetic retinopathy.
Breeyear JH, Mitchell SL, Nealon CL, et al. Development of electronic health record based algorithms to identify individuals with diabetic retinopathy. Journal of the American Medical Informatics Association : JAMIA. 2024. doi:10.1093/jamia/ocae213DOIGoogle ScholarPubMed
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Development of electronic health record based algorithms to identify individuals with diabetic retinopathy.
Breeyear JH, Mitchell SL, Nealon CL, et al. Development of electronic health record based algorithms to identify individuals with diabetic retinopathy. Journal of the American Medical Informatics Association : JAMIA. 2024. doi:10.1093/jamia/ocae213DOIGoogle ScholarPubMed
Read more
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy.
Breeyear JH, Mitchell SL, Nealon CL, et al. Development of electronic health record based algorithms to identify individuals with diabetic retinopathy. Journal of the American Medical Informatics Association : JAMIA. 2024. doi:10.1093/jamia/ocae213DOIGoogle ScholarPubMed
Read more
Development of electronic health record based algorithms to identify individuals with diabetic retinopathy.
Breeyear JH, Mitchell SL, Nealon CL, et al. Development of electronic health record based algorithms to identify individuals with diabetic retinopathy. Journal of the American Medical Informatics Association : JAMIA. 2024. doi:10.1093/jamia/ocae213DOIGoogle ScholarPubMed
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Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study.
Staerk L, Wang B, Preis SR, et al. Lifetime risk of atrial fibrillation according to optimal, borderline, or elevated levels of risk factors: cohort study based on longitudinal data from the Framingham Heart Study. BMJ. 2018;361:k1453. doi:10.1136/bmj.k1453DOIGoogle ScholarPubMed
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Insights from monogenic diabetes and glycemic treatment goals for common types of diabetes.
Florez JC. Insights from monogenic diabetes and glycemic treatment goals for common types of diabetes. JAMA. 2014;311(3):249-51. doi:10.1001/jama.2013.283981DOIGoogle ScholarPubMed
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American Diabetes Association and JDRF Research Symposium: Diabetes and the Microbiome.
Semenkovich CF, Danska J, Darsow T, et al. American Diabetes Association and JDRF Research Symposium: Diabetes and the Microbiome. Diabetes. 2015;64(12):3967-77. doi:10.2337/db15-0597DOIGoogle ScholarPubMed
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Preserved DNA Damage Checkpoint Pathway Protects against Complications in Long-Standing Type 1 Diabetes.
Bhatt S, Gupta MK, Khamaisi M, et al. Preserved DNA Damage Checkpoint Pathway Protects against Complications in Long-Standing Type 1 Diabetes. Cell Metab. 2015;22(2):239-52. doi:10.1016/j.cmet.2015.07.015DOIGoogle ScholarPubMed
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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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