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Background
Wearable motion tracking technology has the potential to revolutionize injury rehabilitation, sports science, and virtual reality, but widespread adoption has yet to be realized due to limitations of the conventional camera- or accelerometer-based technologies. Current systems are bulky, power-hungry, and require line-of-sight or suffer...
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Background
Ovarian cancer causes approximately 14,000 deaths annually in the U.S., with many patients receiving standard chemotherapy regimens that prove ineffective. Deep learning offers promise in predicting treatment response by uncovering patient-specific disease factors. However, challenges such as limited model transparency and reliance on large...
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Brief description
Inducible expression of T-bet in epithelial cells promotes apoptosis and can be used as an anti-cancer therapy.
Problem
Cancer remains a leading cause of mortality worldwide, with epithelial cell cancers such as colon cancer presenting significant treatment challenges. Traditional approaches like chemotherapy and radiation therapy,...
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Background
Electron paramagnetic resonance (EPR) spectroscopy is an essential tool for detecting and analyzing radicals and substances with unpaired electrons, with applications spanning biomedical diagnostics, materials science, and chemical analysis. However, conventional EPR instruments are constrained by their bulky size, high cost, and substantial...
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Background
Advancements in gene editing have revolutionized biomedical research and therapeutic development, yet current methods lack precise, non-invasive control over gene expression in living organisms. Conventional gene modulation approaches, including chemical inducers and viral vectors, often result in systemic effects, off-target activity, and...
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Background
Natural cellular signaling networks decode dynamic input features such as frequency to produce precise, context-dependent responses, whereas most existing synthetic and optogenetic systems are limited to binary on/off control. This inability to interpret dynamic input states fundamentally constrains the precise and tunable regulation of...
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Background
A key barrier to CAR-T cell therapies for solid tumors is the immunosuppressive tumor microenvironment, where cytokines like TGF-β inhibit T cell proliferation, cytotoxicity, and persistence. TGF-β suppresses immune responses by activating Smad-dependent signaling pathways, leading to T cell anergy and exhaustion. Traditional approaches...
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Background
Solid tumors remain largely resistant to T-cell–based immunotherapies due to poor immune cell infiltration within the tumor microenvironment. The absence of key chemokines limits T-cell trafficking, resulting in “cold” tumors that fail to respond to checkpoint inhibitors and adoptive cell therapies.
Innovation
USC...
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Background
Cancer stem-like cells (CSLCs) are a primary driver of tumor relapse, metastasis, and resistance to immunotherapy, particularly in solid tumors. Mechanical softness within the tumor microenvironment promotes immune evasion, yet current CAR-T strategies lack effective approaches to identify and eliminate these mechanically resistant cell...
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Background
Current battery management systems, such as those in electric vehicles, grid storage and consumer electronics, can only estimate bulk metrics like capacity and resistance, which miss key degradation mechanisms. While electrochemical impedance spectroscopy (EIS) provides detailed insight into battery health, it requires specialized hardware...
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