This technology suppresses close-in and reciprocal mixing phase noise in radio frequency signals, improving signal clarity in communication systems. It achieves this suppression without prior training or side information, simplifying implementation and reducing system complexity.
The AudioSight platform combines smartphone-based pupillometry, low-cost near-infrared hardware, and AI analysis to screen for and track hearing-related disorders. The platform generates risk scores for auditory dysfunctions using a BiLSTM-attention model, offering a potential solution for widespread hearing disorders.
This technology enables high-throughput screening for small molecules that selectively lower toxic CAG repeat RNA, helping to develop therapies for neurodegenerative diseases like Huntington’s and spinocerebellar ataxias. The system overcomes major limitations of previous constitutive systems by utilizing an inducible promoter, dual-re...
A novel multimodal auditory assessment platform combines brain-activity measurements and pupil-response monitoring to evaluate hearing-related disorders. The platform has been implemented for data collection and has shown promise in identifying features associated with abnormal auditory sensitivity.
This technology rescues segmented negative-sense RNA viruses directly from complementary DNA in Vero cells, streamlining live-attenuated vaccine production. It utilizes non-cancerous Vero cells and employs triggered endosome escape transfection techniques for efficient delivery.
The Research Highlighter-MatchMaker Project streamlines research collaboration and funding discovery using AI and natural language processing. It offers a searchable portal and automated email recommendations to facilitate connections between researchers and funding opportunities.
This technology introduces a method to enhance neural network security by applying weight perturbations during training, preventing unauthorized access and attacks. It strengthens model integrity across all layers, ensuring holistic protection against various attacks.
A new discriminative model improves the detection of unknown electromagnetic waveforms by combining time- and frequency-domain features with a cosine similarity loss function. This approach enhances the extraction of class-specific features, leading to higher prediction accuracy and robustness in identifying unknown or unseen waveforms.
A novel software and hardware solution analyzes synaptic dysfunctions related to Autism Spectrum Disorders and similar complex neurological conditions. The technology, comprising a neural network model and hardware architecture, provides real-time, biologically relevant synaptic analysis.
A novel ex vitro transformation method utilizes Agrobacterium rhizogenes to genetically modify woody plants' roots, eliminating the need for tissue culture. This approach accelerates the development of genetically engineered trees, making it a cost-effective and scalable solution for the forestry and agricultural sectors.
Researchers developed a non-invasive method to detect Meniere's disease using mass spectrometry on earwax samples, providing a rapid and cost-effective solution for diagnosis. The technology offers enhanced diagnostic accuracy and opens new avenues for monitoring disease progression and response to treatment.
This technology optimizes the structural design and placement of barrier materials to enhance light-signal transmission in photonic integrated circuits. It improves the deposition and manipulation of silicon carbon nitride and silicon nitride, leading to enhanced PIC reliability and longevity.
MyQL is an AI-powered tutoring system that integrates course material, interactive learning, and experiential learning to foster practical, hands-on learning. The platform guides students step-by-step through material, encouraging critical thinking and collaboration with AI.
The AI-driven system evaluates patent originality, marketability, and prior art analysis through integrated data processing and semantic analysis technologies. It incorporates third-party APIs and a Product-Market Fit scoring engine to assess commercial viability and forecast market relevance.
The AgentHeart platform provides continuous cardiovascular monitoring, seamless integration into existing workflows, and real-time actionable guidance. It reduces diagnostic delays, improves clinical trust, and supports continuous clinical reasoning, ultimately aiming to transform cardiac healthcare practices.
This technology enables compact and efficient power electronics by integrating bidirectional voltage blocking in a single device, addressing longstanding limitations in SiC MOSFET designs. The device features a novel unit-cell structure and Schottky diode integration, significantly reducing chip area and improving manufacturing yield.
This technology uses specialized plants and soil treatments to remove or contain PFAS chemicals from soil and water, making cleanup safer and more effective at contaminated sites. The approach combines mobilization, stabilization, and seed selection strategies to optimize PFAS removal or containment.
The Cross-Cultural Leadership Story Puzzle Game is an interactive, role-based platform that simulates authentic workplace challenges, encouraging cross-cultural communication and collaboration. AI-supported assessment provides personalized feedback, facilitating knowledge retention and improvement of leadership competencies.
SafeSeal embeds identifiable marks in LLM outputs while preserving content quality and robustness against removal attempts. It achieves this through named entity recognition and context-aware synonym replacement, ensuring high semantic similarity and entity preservation.
GrantsMate, an AI-driven research support platform, streamlines research workflows by integrating funding discovery, collaborator identification, and institutional policy guidance. The platform provides personalized recommendations and a conversational interface to simplify research administration and improve funding prospects.
This technology features arrays of single-erbium ion qubits embedded in silicon-based hollow nanopillars, enabling high-performance, room-temperature quantum sensing and communication. It demonstrates record-long optical coherence times in the telecom C-band, exceeding 500 μs at ambient conditions.
This technology delivers IL-10 mRNA to lung tissue, reducing inflammation and injury in acute lung injury and ARDS, while minimizing side effects. The lung-targeting lipid nanoparticles sustain therapeutic protein expression directly within lung tissue, reducing systemic exposure and improving treatment effectiveness.
This technology combines electrocardiogram signals and electrical impedance tomography data to aid in the diagnosis and treatment of cardiac and pulmonary conditions. The simultaneous acquisition of ECG and EIT data provides precise cardiac timing and enhances EIT image reconstructions.
The Ga₂O₃ vertical MOSFET technology features a unique in-situ Mg-doped current-blocking layer, enabling high-voltage operation with increased efficiency and robustness. This design overcomes challenges in traditional silicon-based devices, making it suitable for grid and traction applications.
A portable handheld terahertz three-dimensional spectral scanner has been developed to diagnose burn wounds and predict wound-healing outcomes. The device uses an asynchronous optical sampling system to achieve short scan times and can acquire three-dimensional spectroscopic images in the terahertz range.
The AI-powered platform, OralScan, uses artificial intelligence and user-captured photographs to identify common dental conditions, enabling longitudinal tracking of oral health findings. The platform targets seven conditions, including dental caries, periodontal disease, and tooth loss, and is available for licensing or collaboration.
The system uses a 'reward/expectation' signal derived from the motor cortex to provide timely and precise control of prosthetic devices. It can adjust its policy based on evaluation signals, allowing for more natural control and improved outcomes.
Researchers have developed IgA monoclonal antibodies that provide immediate immunity to dengue infection and reduce the risk of severe disease in individuals with preexisting immunity. This technology overcomes the challenge of Antibody-Dependent Enhancement, enabling effective prevention and treatment of dengue virus infection.
Researchers at Stony Brook University have developed an intermediate nitrification/denitrification bioreactor that achieves high levels of nitrogen removal while maintaining low levels of organic material. The design uses wood chips to enable successful denitrification and reduce component system size, lowering costs.
Researchers at Stony Brook University propose a new method for preparing resist materials for advanced lithography using existing infrastructure and materials. Inorganic-infiltrated polymer hybrid thin films exhibit improved properties, including high optical absorption, etch resistance, and resolution. This development route is expect...
This technology leverages predicted occupant counts to optimize HVAC control, accounting for misprediction costs to minimize energy consumption. By updating thermal states and misprediction distributions, the system achieves weighted occupant thermal comfort while minimizing total expected misprediction costs.
Researchers at Stony Brook University propose a technology to electrochemically enhance ocean alkalinity without seawater pretreatment, reducing costs and increasing carbon offset quality. This approach enables 'negative emission' carbon offsets and has significant implications for ocean carbon capture and net-zero goals.
Researchers developed asymmetric charged vesicles to improve drug entrapment and delivery. These vesicles allow for different charges on the inside and outside, maximizing drug loading and reducing side effects.
A new saliva-based assay rapidly and accurately assesses flavivirus immunity by measuring multiple antibody classes in saliva. The test can distinguish between individuals with polytypic dengue virus immunity and those who have previously experienced both dengue virus and Zika virus infections.
Researchers have developed a technology that combines aminoglycoside antibiotics with PKZ18 analogs, resulting in up to an 8-fold increase in efficacy and reduced risk of microbial resistance. This synergy enables targeting of bacteria in various environments, expanding the therapeutic window.
This DNA nanoswitch technology detects RNases using a simple mix-and-read methodology, offering a cost-effective solution for biological samples. The nanoswitch changes shape in response to RNase presence, making it a useful tool for RNase-sensing applications.
A new multiplexing scheme enables deterministic light-sharing PET modules with improved power efficiency and data efficiency. The scheme reads out timestamps at the ASIC level, reducing power consumption without sacrificing coincidence time resolution.
A new method for extracting hydrogen from hydrogen-methane blends has been developed, enabling fast, convenient separation and long-term storage of hydrogen without loss or degradation. The technology utilizes a low-cost metal hydride material and can separate hydrogen from a methane blend at low temperature and pressure.
Researchers at Stony Brook University have developed a graphene oxide-based dew point meter that detects humidity levels and temperature variations. This cost-effective hygrometer platform replaces traditional dew point sensors, enabling precise humidity measurement.