DIVISION NEWS
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November ABC Seminar: Gennady Gorin, PhD – CalTech
Stochastic foundations for single-cell RNA sequencing Single-cell RNA sequencing, which quantifies cell transcriptomes, has seen widespread adoption, accompanied by a proliferation of analytic methods. However, there has been relatively little […]
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Gerber Lab awarded $3.1 Million Five Year NIH-NIGMS R35 Grant “Probabilistic deep learning models and integrated biological experiments for analyzing dynamic and heterogeneous microbiomes”
This work will leverage deep learning technologies to advance the microbiome field beyond finding associations in data, to accurately predicting the effects of perturbations on microbiota, elucidating mechanisms through which […]
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2023-24 ABC Seminar Speakers Announced
Developed by the Computational Pathology Division at Brigham and Women’s Hospital, the Advanced Biomedical Computation (ABC) Seminar, held monthly during the academic year, showcases innovative research from around the globe by up-and-coming […]
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Mahmood receives 2023 Young Mentors Award from Harvard Medical School
Faisal Mahmood, PhD received the 2023 Young Mentor Award from Harvard Medical School for his outstanding contributions to mentorship. The Young Mentor Award is one of several Excellence in Mentoring […]
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Gerber Lab at ICML Workshop on Computational Biology 2023
The ICML Workshop on Computational Biology (WCB) highlights how ML approaches can be tailored to making both translational and basic scientific discoveries with biological data, such as genetic sequences, cellular […]
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Algorithmic fairness in artificial intelligence for medicine and healthcare: Nature Biomedical Engineering
In healthcare, the development and deployment of insufficiently fair systems of artificial intelligence (AI) can undermine the delivery of equitable care. Assessments of AI models stratified across subpopulations have revealed […]
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Mahmood Lab develops deep learning model for transforming tissue images: Nature Biomedical Engineering 2022
Histological artefacts in cryosectioned tissue can hinder rapid diagnostic assessments during surgery. Formalin-fixed and paraffin-embedded (FFPE) tissue provides higher quality slides, but the process for obtaining them is laborious (typically […]
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Mahmood Lab develops self-supervised deep learning algorithm: Nature Biomedical Engineering 2022
The adoption of digital pathology has enabled the curation of large repositories of gigapixel whole-slide images (WSIs). Computationally identifying WSIs with similar morphologic features within large repositories without requiring supervised […]
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Gerber Lab’s “MDITRE: Scalable and Interpretable Machine Learning for Predicting Host Status from Temporal Microbiome Dynamics” is mSystems Editor’s Pick
Longitudinal microbiome data sets are being generated with increasing regularity, and there is broad recognition that these studies are critical for unlocking the mechanisms through which the microbiome impacts human […]
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Mahmood Lab’s Pan-cancer integrative histology-genomic analysis is featured on cover of Cancer Cell
The rapidly emerging field of computational pathology has demonstrated promise in developing objective prognostic models from histology images. However, most prognostic models are either based on histology or genomics alone […]