Wearable Breast Cancer Detection
Dr. Canan Dagdeviren and her Conformable Decoders group are creating a revolutionary wearable ultrasound patch, like an “ultrasound bra” (cUSBr-Patch), for more frequent, at-home breast cancer screening, aiming for earlier detection, especially for high-risk individuals. This work is supported by the MIT Center for Clinical and Translational Research (CCTR).
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AI for Breast Cancer Risk Prediction
Director of the MIT Jameel Clinic, is developing AI models that analyze mammograms to predict future breast cancer risk with greater accuracy, potentially identifying tumors years before traditional diagnosis.
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Nanoelectronics for Brain Metastasis
Nano-Cybernetic Biotrek Lab is engineering radical nanoelectronic interventions to treat breast cancer brain metastasis (BCBM), a devastating complication with currently no cure, showing promise in preclinical models.
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Early Ovarian Cancer Detection with Nanoparticles
Sangeeta N. Bhatia’s lab designs “synthetic biomarkers”—nanoparticles that interact with tumor proteins to release detectable fragments in urine, potentially diagnosing ovarian cancer months earlier than current methods.
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Visualizing Tiny Ovarian Tumors
Angela Belcher’s lab, in collaboration with Lincoln Laboratory, uses fluorescent carbon nanotubes to help surgeons see and remove tiny ovarian tumors, improving surgical outcomes.
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Intraoperative Tumor Detection
The FDA-approved Lumicell technology, for detecting residual tumor cells during breast cancer surgery, originated from a Koch Institute pilot project involving, Professor Linda Griffith, and David Lee.
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