This technology relates to a method and apparatus that uses artificial intelligence to analyze a user's leisure images and videos to extract leisure status information and recommend corresponding leisure activity locations.
Existing recommendation services have struggled to provide personalized suggestions because they fail to reflect the user's actual leisure skill level and proficiency.
To address this, our technology analyzes the interactions and movement dynamics of objects within content to determine the user's leisure activity level, then recommends suitable leisure sports and locations.
This technology is a gallbladder polyp classification system that uses an ensemble model, trained on labeled abdominal ultrasound images, to classify gallbladder polyps as neoplastic or non-neoplastic.
Accurately distinguishing between neoplastic and non-neoplastic gallbladder polyps is crucial for deciding on cholecystectomy, but has been difficult.
This technology collects and trains on abdominal ultrasound images, classifying new polyps using an ensemble of multiple prediction models, thereby improving the accuracy of gallbladder polyp classification.
This technology relates to a conductive hydrogel containing mussel adhesive protein, liquid metal, and hyaluronic acid, as well as its manufacturing method.
Existing mussel adhesive protein-based hydrogels had limitations in terms of adhesion and conductivity.
This technology imparts conductivity using liquid metal while maintaining mechanical strength, providing a hydrogel with improved adhesion and conductivity compared to conventional ones.
This technology concerns the establishment of a system that utilizes autotransporter (self-transporter) proteins to express target proteins on the cell surface.
Existing cell surface expression methods have been limited in terms of expression targets and efficiency, thereby restricting their application in various genetic engineering fields.
This technology provides a surface expression vector with a cloning site for the fusion of target proteins and scaffold proteins (YfaL autotransporter), enabling efficient expression of target proteins on the cell surface.
This technology is a novel antigen peptide for producing antibodies that specifically detect formyl methionine.
Existing methods for recognizing formyl peptides and proteins were inefficient due to the diversity of protein sequences.
Antibodies produced using the antigen peptide of this technology exhibit excellent antigen-binding ability at both peptide and protein levels, making them useful for generating antibodies that universally recognize formyl methionine.
This technology is a vacuum cooling system consisting of a cooling energy generation module that uses water as a working fluid to produce cooling steam through vaporization in a vacuum, a heat exchange module, a liquefaction/condensation module, a heat supply module that captures semiconductor waste heat, and a control module for integrated management.
Existing cooling methods for high-heat semiconductor facilities, such as AI data centers, have faced issues with high power consumption and environmental pollution caused by the use of refrigerants.
This technology proposes a circular structure that captures thermal energy generated from semiconductors to recycle it as a vaporization heat source, using only water as the working fluid, and integrates control of each module based on parameters such as vacuum pressure and target temperature. It can be applied to cooling AI data centers and semiconductor production facilities, implementing cooling using only waste heat without the need for separate refrigerants, thereby reducing both energy costs and carbon emissions.
This technology is an anticancer composition comprising a MARCH6 activity or expression inhibitor.
There was a need for an anticancer approach that could induce cell death by increasing the ferroptosis sensitivity of cancer cells.
The MARCH6 inhibitor of this technology increases the ferroptosis sensitivity of cancer cells, thereby inducing cell death and growth inhibition, and thus can be utilized as a ferroptosis-inducing anticancer agent.
This technology relates to a three-dimensional network structured bioadhesive composition, linked by amide bonds between mussel adhesive protein and polyacrylic acid/polymethacrylic acid, and its manufacturing method.
Conventional bioadhesives exhibit poor adhesive strength in aqueous environments and have issues with side effects and cost.
This technology utilizes mussel adhesive protein, which has high tensile strength and various surface adhesion capabilities, to enhance adhesive strength and biodegradability while maintaining biocompatibility.
This technology relates to a flexible electrode, a biofuel cell utilizing the same, and its manufacturing method.
Flexible yet high-performance electrode structures were required for wearable and bio-implantable energy devices.
The electrode of this technology is composed of a multi-layered structure sequentially arranged on a non-conductive substrate, including a base layer, a nanoparticle layer containing metal nanoparticles, and a monolayer having an amine group, thereby realizing a biofuel cell with flexibility and functionality.
This technology presents a transformed strain capable of producing ethanol, created by introducing foreign genes into the ethanol non-producing acetogen Eubacterium limosum, along with a method for producing ethanol using this strain.
There has been a demand for an eco-friendly bioprocess that converts carbon monoxide contained in waste gas into high-value substances.
This technology converts acetogens, which previously lacked ethanol-producing capability, into ethanol-producing strains, enabling the production of high-value ethanol as a single product from carbon monoxide in waste gas.
This technology relates to a method for classifying whether a website is harmful by tokenizing and vectorizing the HTML source code of the accessed website and processing it through a machine learning model.
Existing rule-based harmful site blocking methods struggle to detect new or modified sites and often result in high false-positive rates.
To address this, this technology tokenizes HTML source code and inputs it into a machine learning model, enabling accurate, learning-based classification of even newly emerging harmful sites.
This invention is the result of the 'AI Information Collection for Monitoring Illegal Content Distribution Sites' project, supported by the Ministry of SMEs and Startups.
This technology relates to encoded hydrogel particles and their manufacturing method for high-sensitivity and high-accuracy detection of target biomolecules.
Existing detection particles have issues with low probe loading efficiency and uniformity, and unreacted ends hindering detection.
This technology synthesizes hydrogel particles and then binds probes, enabling high-efficiency and uniform probe loading while resolving issues with unreacted ends. This allows for multiplexed, high-sensitivity detection of target biomolecules such as nucleic acids and proteins, making it widely applicable in molecular diagnostics.
This technology is a biomaterial-based drug delivery patch with a multi-layered structure, comprising an inner core layer and an outer layer made of ECM-based hybrid ink.
There was a need for a delivery material capable of precisely controlling the drug release sequence and rate.
This technology controls the drug release sequence and rate using a multi-layered ECM hybrid ink structure with varying crosslinking densities and growth factors.
This technology describes a biosensor that selectively reacts to target substances by arranging sensing material in both the channel region and the gate electrode region, along with its manufacturing method.
Conventional biosensors had limitations in improving sensitivity due to the restricted binding area of the sensing material.
This technology improves the sensitivity of biosensors by increasing the binding area through the arrangement of sensing material in both the channel region and the gate electrode region.
This technology provides a composition and method for regulating ferroptosis, comprising a MARH6 (MARCHF6) modulator, and a related substance screening method.
To regulate various diseases involving ferroptosis, a target capable of precisely inducing or inhibiting it was needed.
This technology is the first to identify MARCHF6's involvement in ferroptosis. By modulating its activity and expression, it can induce or inhibit ferroptosis, thus being utilized in the development of therapeutics for related diseases.
