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Schenk Composer: A framework for algorithmic music generation

Schenk Composer: A framework for algorithmic music generation

Unmet Need Music composition remains largely inaccessible to individuals without formal training in music theory, despite growing interest in AI-assisted creative tools. Existing AI-generated music solutions frequently produce results that are uninterpretable and unpredictable, offering…

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A predictive model for early detection of psychiatric risk in adolescents

A predictive model for early detection of psychiatric risk in adolescents

Unmet Need According to the World Health Organization, nearly 15% of adolescents (10 to 19-year-olds) experience a mental health condition, many of which remain undiagnosed and untreated. Since the beginning of the COVID-19 pandemic, the…

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Microbial Growth Foundational Model

Microbial Growth Foundational Model

Unmet Need Microbial growth dynamics provide crucial insights into microbial populations, with applications in drug discovery, personalized medicine, and synthetic biology. Advances in the field have resulted in an ever-growing list of known microbe species…

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Computer Aided Detection Tool for Difficult-to-Detect Brain Metastases

Computer Aided Detection Tool for Difficult-to-Detect Brain Metastases

Unmet Need An estimated 20% of all cancer patients will develop brain metastases in their lifetime. These metastases are first diagnosed by neuroradiologists using CT, and more commonly, MR imaging. If a limited number of…

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Personalized Behavioral Risk Prediction Technology

Personalized Behavioral Risk Prediction Technology

Unmet Need Daily environments significantly influence mental and physical health, impacting factors like stress, sleep quality, and behaviors tied to addiction and mental health conditions. For example, specific environments may trigger smoking, exacerbate insomnia, or…

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Optimized hard-decision decoding for generalized product codes in high-speed communication systems

Optimized hard-decision decoding for generalized product codes in high-speed communication systems

Unmet Need Communication channels often introduce errors due to noise, leading to the need for robust error control mechanisms. While techniques like forward error correction (FEC) add redundant bits to detect and correct transmission errors,…

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Depth-Resolved Spectroscopic Imaging System for Early Cancer Detection and Diagnosis

Depth-Resolved Spectroscopic Imaging System for Early Cancer Detection and Diagnosis

Unmet Need Colorectal and esophageal cancers rank among the leading causes of cancer deaths in the United States. Early detection through screening is key to reducing mortality rates. Current screening methods, like colonoscopy for colorectal…

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Automated cell membrane tension controller for studying mechanotransduction

Automated cell membrane tension controller for studying mechanotransduction

Unmet Need Force-gated ion channels embedded in the cell membrane are central to mechanotransduction – the process by which mechanical forces are converted into electrochemical signals that regulate cellular behaviors such as motility, adhesion, and…

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Morphological multiparameter filtration and persistent homology in mitochondrial image analysis

Morphological multiparameter filtration and persistent homology in mitochondrial image analysis

Unmet Need Current mitochondrial network analysis tools require significant manual intervention, making them labor-intensive, subjective, and prone to variability. These limitations hinder the reproducibility and accuracy needed for studying complex mitochondrial morphologies in disease diagnostics,…

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3D cavitation mapping to improve laser lithotripsy for the treatment of kidney stones

3D cavitation mapping to improve laser lithotripsy for the treatment of kidney stones

Unmet Need The prevalence of kidney stones is on the rise, having increased from approximately 4% in the 1970s to nearly 10% today. Approximately 1 in 10 of Americans will experience a kidney stone in…

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Revolutionizing material analysis with 5x faster broadband optimized time-temperature superposition (BOTTS) for rapid viscoelastic property insights

Revolutionizing material analysis with 5x faster broadband optimized time-temperature superposition (BOTTS) for rapid viscoelastic property insights

Unmet Need The Materials Genome Initiative Strategic Plan was adopted by the US in 2021 for the purposes of increasing knowledge on material structure property relationships to accelerate material development and innovation. This plan necessitates…

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Feature-free photogrammetric 3D imaging with cameras under unconstrained motion

Feature-free photogrammetric 3D imaging with cameras under unconstrained motion

Unmet Need With the increasing development of camera-based sensors for applications such as virtual and augmented reality, there is more demand for technologies that can image 3D structures and create interpretable digital representations – a…

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