Grant List
Represents Grant table in the DB
GET /v1/grants?page%5Bnumber%5D=1384&sort=funder_divisions
{ "links": { "first": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1&sort=funder_divisions", "last": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1424&sort=funder_divisions", "next": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1385&sort=funder_divisions", "prev": "https://cic-apps.datascience.columbia.edu/v1/grants?page%5Bnumber%5D=1383&sort=funder_divisions" }, "data": [ { "type": "Grant", "id": "2839", "attributes": { "award_id": "1935773", "title": "I-Corps: Novel Material System and Design for Thermal Management of Asphalt Pavements", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 8486, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2019-09-15", "end_date": "2020-08-31", "award_amount": 50000, "principal_investigator": { "id": 8487, "first_name": "Huiming", "last_name": "Yin", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 196, "ror": "https://ror.org/00hj8s172", "name": "Columbia University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 196, "ror": "https://ror.org/00hj8s172", "name": "Columbia University", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is create a new material system of pavements for maintenance saving, safety enhancement, and lifetime extension. The material system can be integrated into a wide range of potential pavement applications from parking lots, to highway ramps, and driveways. The potential customer includes general managers or ground service managers of commercial and residential buildings with large parking lots, officials at the Department of Transportation and Department of Public Works, and even homeowners with driveways. The successful adoption of the technology may result in reducing snow removal costs, reducing parking lots/roads/highways maintenance costs, and lessening accident rates in snowy or icy conditions in winter. The technology may also be used to potentially mitigate pavement distresses due to high temperatures, thereby extending the lifespan of roads and other infrastructure.\n\nThis I-Corps project is to identify the market and establish the novel pavement technology for commercialization and technology transfer. Inspired by human skin, the proposed asphalt pavement system utilizes solar and geothermal energy to regulate the surface temperature, at which the materials can exhibit the better performance. Asphalt pavements can be damaged or degraded by various weather conditions. To address these challenges, this project develops a multifunctional material system for self-heating and cooling, performance monitoring, self-sensing, and self-healing of asphalt pavements. The system consists of heat exchange loops buried in pavement overlays, which will be heated or cooled using geothermal and solar energy via circulating thermal fluids. The heat collected and stored underground in summer will be used in winter. Carbon nanotube modified foamed asphalt has been developed for better thermal conductivity and strength.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2262", "attributes": { "award_id": "2221915", "title": "I-Corps: Smart window that helps to ensure a healthy indoor air quality", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 6179, "first_name": "Lydia", "last_name": "McClure", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2022-06-01", "end_date": "2022-11-30", "award_amount": 50000, "principal_investigator": { "id": 6180, "first_name": "Wei", "last_name": "Li", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 270, "ror": "https://ror.org/0405mnx93", "name": "Texas Tech University", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a technology to combat indoor air pollution as one of the risk factors for premature death. According to Institute for Health Metrics and Evaluation and the World Heath Organization, poor indoor air quality is responsible for 1.6-4.3 million deaths yearly. According to the EPA, Americans, on average, spend 90% of their time indoors, where the concentrations of some pollutants are often 2 -5 times higher than outdoors. Opening windows and increasing air exchange rates can significantly improve Indoor Air Quality (IAQ) and can also reduce the risk of COVID exposure. In the current market, window that can automatically open/close and/or pump air into or out of a room to improve the IAQ are not available. The proposed technology is an automated solution that can bring fresh air inside in to improve IAQ. The technology may also work with other smart home systems to share and store IAQ data for scientific research, pattern recognition, and forecasting, potentially triggering new discoveries. \n\nThis I-Corps project is based on the development of a technology that can provide improved indoor air quality. The technology can automatically detect poor indoor air quality and can initiate an air exchange to lower pollution levels. The device is portable, plug and play, easy to install (does not require any modifications of existing windows), low energy (run by solar power/phone charger), and made from flexible responsive polymer actuators that pumps air in/out. The window is available in different sizes and shapes to fit conventional spaces and can also be custom made for specific purposes. The window is programmed to automatically respond to changes in temperature, humidity, oxygen, carbon monoxide, carbon dioxide and other gases, and can be integrated with popular home automation systems and platforms. The technology may help to ensure healthy indoor air quality using an automatic indoor-outdoor air exchange.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2312", "attributes": { "award_id": "2126195", "title": "I-Corps: Web-based Application for the Treatment of Polycystic Ovary Syndrome (PCOS)", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 6367, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-15", "end_date": "2022-08-31", "award_amount": 50000, "principal_investigator": { "id": 6368, "first_name": "Jennifer", "last_name": "Phy", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 782, "ror": "", "name": "Texas Tech University Health Science Center", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 782, "ror": "", "name": "Texas Tech University Health Science Center", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a web-based application to help women manage Polycystic Ovary Syndrome (PCOS). PCOS is the most common endocrine disorder in women and leads to higher risk of obesity, heart disease, diabetes, infertility, and cancer. Women with PCOS are using on average 5 to 6 separate apps to manage their symptoms. Many of these apps are not based upon research. Women with PCOS note frustration, confusion and exhaustion trying to determine the right diet and the right way to manage their health problems. Many do not have access to a specialist or even a local health care provider with knowledge of PCOS. The goal is to educate women with PCOS about their unique nutritional and metabolic needs and to offer “one place” for women with PCOS to go for evidence-based advice from experts in this field.\n\nThis I-Corps project is based on the development of a web-based application for the treatment of Polycystic Ovary Syndrome (PCOS). Research has shown that PCOS patients may control and mitigate their symptoms by managing their diet. The unique feature of this diet is that it is not based on counting caloric intakes, rather it is based on eliminating certain elements from the diet. The technology is based on a prospective clinical trial leading to an average weight loss of 19 pounds in 8 weeks without counting calories, carbs or fats. In addition, participants showed a 50% reduction in fasting insulin and a significant reduction in total testosterone as well. The goals of the proposed technology are to provide evidence-based education about PCOS directly to patients, and to relieve some of the burden on health care providers who care for these patients. The goal is to provide education and treatment based on 10 years of research conducted by nutritional and medical experts for the management of PCOS.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2321", "attributes": { "award_id": "2110136", "title": "I-Corps: Manufacturing Process for Recycled Glass Pozzolan", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 6407, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2021-03-15", "end_date": "2022-08-31", "award_amount": 50000, "principal_investigator": { "id": 6408, "first_name": "Olga", "last_name": "Petrova", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 384, "ror": "", "name": "SUNY at Binghamton", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 384, "ror": "", "name": "SUNY at Binghamton", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the commercialization of a technology that will allow up to 80% of the waste glass (silicon oxides) in the United States to be reused, diverting 5.6 million tons from the landfill. According to the EPA, 7 million tons of waste glass is sent to the landfill annually. The proposed technology uses a pozzolan, a cement replacement that commonly replaces 20% of the cement used in standard mixes with glass materials (here, silicon dioxide) in the manufacturing industry. Generally for every 1 ton of cement produced, 1 ton of carbon dioxide (CO2), a greenhouse gas, is released. This translates to one house foundation of cement producing the CO2 emissions equivalent of driving a car for 2.5 years. The EPA estimates that the cement industry produces 86.8 million metric tons of CO2 each year, exceeding emissions by the aviation industry. For every 5 tons of the newly developed cement replacement material used, the equivalent of one car is taken off the road in terms of CO2. At full scale, the concrete industry could see a carbon savings equivalent of taking 1.75 million cars off the road every year. \n\nThis I-Corps project will explore the commercial potential and commercialization strategies for a new process to take waste glass from the recycling industry and turn it into a pozzolan called Pantheon™. Concrete is normally made from gravel, sand, water, and cement. Water and cement react to form calcium silicate hydrate, which is the glue that holds concrete together. A pozzolan is a cement replacement that commonly replaces 20% of the cement used in standard mixes in the concrete manufacturing industry. Currently, the most common pozzolan on the market is fly ash from coal power plants. Pantheon™ offers superior properties and performance. First, Pantheon™ has a 13.4% higher concentration of silicon dioxide, the active ingredient in pozzolans. Second Pantheon™ has 19% fewer impurities than fly ash. This results in a concrete that is less expensive, more environmentally friendly, and 11% stronger than what is currently on the market.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2378", "attributes": { "award_id": "2011473", "title": "I-Corps Teams: IoT Sensor Networks Detecting User Behavior in Architectural Space", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 6661, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-02-01", "end_date": "2021-07-31", "award_amount": 50000, "principal_investigator": { "id": 6662, "first_name": "Roman", "last_name": "Lubynsky", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 210, "ror": "https://ror.org/042nb2s44", "name": "Massachusetts Institute of Technology", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 210, "ror": "https://ror.org/042nb2s44", "name": "Massachusetts Institute of Technology", "address": "", "city": "", "state": "MA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a cost-effective solution to detect user behavior in architectural space without violating the user’s privacy. This technology uses passive infrared (PIR) sensors to collect lightweight data and identify user behavior, which is traditionally done by camera and image recognition at higher processing power and cost. One possible application includes optimizing mall market targeting and revenue growth by generating traffic flow and headcount analytics. This technology also may help commercial properties and hotels to understand their customers’ needs better and create cross-sale opportunities through features including individual behavior path predicting, crowd behavior prediction, population forecasts, and specific behavioral analytics, like queue management and purchase-tracking habits. Another possible application is in automating rental property management for homeowners by remotely coordinating check-in and check-out procedures, monitoring cleaning results, and diminishing the likelihood of unpermitted parties, fire, flood, or theft.\n\nThis I-Corps project is based on the development of a novel neural network system that can classify low pixel thermal data into the number of users and type of user posture. With non-fragmented thermal data in architectural space, the proposed method is capable of matching user behavior with hassle-free automation. Using 64 thermal data points from a single PIR sensor, the system can real-time classify the dataset into occupancy numbers at a 95% accuracy rate and possible postures in under 800ms. With more sensors in the network, the system can identify specific user behavior and indoor location. These behavior data are the key to achieve frustration-free automation in smart living and working spaces.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "2397", "attributes": { "award_id": "2005314", "title": "I-Corps: Quantifiable Service Quality Firmware System", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 6723, "first_name": "Ruth", "last_name": "Shuman", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] } ], "start_date": "2020-02-15", "end_date": "2021-01-31", "award_amount": 49999, "principal_investigator": { "id": 6724, "first_name": "Paul", "last_name": "Ranky", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 228, "ror": "https://ror.org/05e74xb87", "name": "New Jersey Institute of Technology", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 228, "ror": "https://ror.org/05e74xb87", "name": "New Jersey Institute of Technology", "address": "", "city": "", "state": "NJ", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is to develop technology to provide an in-depth downtime reduction analysis of computer-numerical controlled machines (CNCs), Additive Manufacturing (AM)/3D printing machines, computer-controlled appliances and complex engineered systems. The results of this project will affect a very large number of US CNC manufacturing facilities (over 19,000 CNC shops) as well as thousands of computer-controlled appliance repair companies, saving millions of dollars annually for the industry. The commercial potential of the project is is to minimize system downtime using service quality improvements. These groups of methods are analyzed and quantified using mathematical equations, algorithms, as well as visualization methods and tools. The results also will have an impact on manufacturing facilities and other complex engineered systems, such as robots, and cobots (collaborative robots), that have several complex computer-controlled, networked devices/instruments that need professional quality service to avoid downtime and failure.\n\nThis I-Corps project based on the development of technology for quantitative, predictive methods and tools that utilize quality-related key performance indicators (KPIs), that can be measured, calibrated, and enforced during service operations in computer-numerical controlled machines (CNCs), additive manufacturing (AM)/3D printing machines, and complex engineered systems. Currently, there is no method or tool available for predicting the effectiveness or the level of success or risk of the services provided. The methods utilized are not systems engineering-focused, but rather financial accounting, and may or may not include reports of historical data to indicate the status of engineering-focused services provided. The technology under development is based on quantifiable service quality-focused key process/performance indicators (KPIs), using mathematical models, algorithms, and multimedia software visualization methods. This enables users to quantify levels of product/process quality service. In addition, the platform may be used to quantify and predict the product quality service as an index.\n\nThis award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4710", "attributes": { "award_id": "1312465", "title": "I-Corps: Injectable Bone Graft Substitute Materials", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [], "start_date": "2013-01-15", "end_date": "2014-06-30", "award_amount": 50000, "principal_investigator": { "id": 16328, "first_name": "Ambalangodage", "last_name": "Jayasuriya", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 1325, "ror": "", "name": "University of Toledo Health Science Campus", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 1325, "ror": "", "name": "University of Toledo Health Science Campus", "address": "", "city": "", "state": "OH", "zip": "", "country": "United States", "approved": true }, "abstract": "The proposed project will use bone-specific design criteria to synthesize bone substitute materials using benign materials and mild processing conditions. The project team has developed a bone substitute material for use in orthopedic and craniomaxillofacial bone defects. This bone substitute product is designed to possess injectability, biocompatibility, biodegradability, osteoconductivity, and osteoinductivity properties as well as structural and mechanical integrity. This bone substitute product is sufficiently flexible to fill cavities with different geometries with closer packing compared to fixed-shape substitutes. This bone substitute product can be injected to the bone defects using minimally invasive procedures. Minimally invasive surgery tremendously reduces healthcare costs. Bone substitute products with all the above properties do not currently exist in the market. The proposed bone substitute product has the potential to reduce the need to harvest healthy bone (autografts) from the patient to use for bone repairs. \n\nIf successful, this project could have significant scientific impact on craniomaxillofacial, orthopaedic, and regenerative medicine. The bone-specific design criteria and mild processing techniques for bone substitute materials increase scientific knowledge for the bone regeneration field. The global bone graft substitute market was valued at $1.9 billion in 2010 and is forecast to reach $3.3 billion in 2017. The increasing population of elderly people is a major driving force for the market. Recent data indicate that a fracture requiring hospitalization costs an average of $27,000 and results in an average of 27 days of missed work. These costs can reduce drastically using minimal invasive procedures with innovative bone substitute materials instead of using traditional bone grafts which need longer hospitalization and rehabilitation times.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "4620", "attributes": { "award_id": "1444115", "title": "I-Corps: Bringing Innovative Ionic Solutions to the Ultracapacitor Market", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [], "start_date": "2014-07-01", "end_date": "2015-12-31", "award_amount": 50000, "principal_investigator": { "id": 15952, "first_name": "Laura", "last_name": "Schultz", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 571, "ror": "", "name": "SUNY at Albany", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 571, "ror": "", "name": "SUNY at Albany", "address": "", "city": "", "state": "NY", "zip": "", "country": "United States", "approved": true }, "abstract": "The team has developed a patent pending electrolyte chemistry that is believed to have the potential to improve the performance of ultracapacitors that are an important, but underutilized component in energy storage solutions. To date, the adoption of ultracapacitors has been limited due to inadequate energy storage performance and high costs. However, a number of technological breakthroughs have made the\nultracapacitor commercially viable. Applications are currently dominated by the automotive and electronic industries with large potential in solar and wind energy storage and industrial applications. The demand for ultracapacitor in automotive start-up systems is projected to be the primary source of growth over the next decade. As the ultracapacitor market grows and more firms enter, it will become increasingly competitive. These companies will need to provide technically superior products. The adoption of the proposed patent pending electrolyte will allow companies to easily improve performance with little engineering effort.\n\nThe proposed electrolyte has demonstrated promising improvements in proof-of-concept testing that were validated by an independent laboratory. The proposed electrolyte was compared with the current industry standard and showed 19% higher capacitance and 15% high breakdown potential translating into more energy storage, and wider temperature and voltage ranges. Longevity testing has shown that the proposed technology has a lifetime of approximately 100,000 cycles, and these improvements could translate into new applications for electrochemical double layer capacitors (EDLC). The goal of this proposal is to show that the proposed electrolye can be smoothly integrated into existing and future ultracapacitor devices in a \"plug and play\" fashion. The team will use the I-Corps training to develop a commercial-scale prototype to demonstrate the technology to potential customers and partners and develop a commercialization plan to bring the product to market.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12561", "attributes": { "award_id": "2336852", "title": "I-Corps: A Low-cost and Non-contact Respiration Monitoring Method for COVID-19 Screening and Prognosis", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [], "start_date": "2023-01-01", "end_date": null, "award_amount": 0, "principal_investigator": { "id": 1763, "first_name": "Sabit", "last_name": "Ekin", "orcid": null, "emails": "[email protected]", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 387, "ror": "https://ror.org/01g9vbr38", "name": "Oklahoma State University", "address": "", "city": "", "state": "OK", "zip": "", "country": "United States", "approved": true } ] }, "other_investigators": [], "awardee_organization": { "id": 282, "ror": "", "name": "Texas A&M Engineering Experiment Station", "address": "", "city": "", "state": "TX", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the ability to monitor respiration using a low-cost and non-contact sensing method. Studies show that real-time health monitoring devices will reach a market value of over $65 billion by 2022. Given the high prevalence of lifestyle-associated disorders, long-term continuous monitoring of physiological parameters becomes important for many healthcare cases such as apnea and for human-computer-interaction applications. The anticipated benefits of the technology in the current COVID-19 outbreak include, but are not limited to, helping to reduce the load of current (expensive and limited) respiration monitoring medical equipment, being deployable in open-spaces and being highly desirable for the drastically increasing numbers of COVID-19 patients. Further, since respiration monitoring is a ubiquitous element of medicine, this work may also impact the entire health care community, from patients in their homes, to doctor’s offices, to large medical institutions and industries. This I-Corps project involves the technological advancement required to enable the proposed low-cost and non-contact respiration sensing method. This method represents a substantial departure from traditional approaches to wireless respiration monitoring and is poised to make significant contributions in this area. The proposed technology is timely given the critical worldwide impact of COVID-19. The proposed solution is adequately deployable in home environments (e.g. living rooms) and hospitals, etc. to remotely monitor respiration for COVID-19 screening and prognosis. The proposed approach allows very low-cost, safe, easy, continuous, and non-obtrusive gathering of respiration data — a critical input for cost-effective and proactive treatment and management of subjects with COVID-19 and other chronic respiratory conditions. This project will allow the team to better understand the unmet needs by conducting customer discoveries and interviews, develop a viable business model, and learn the desired features for developing a compelling minimum viable product.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } }, { "type": "Grant", "id": "12782", "attributes": { "award_id": "2345293", "title": "I-Corps: Audio Artificial Intelligence Data Platform to Diagnose Respiratory Disease", "funder": { "id": 3, "ror": "https://ror.org/021nxhr62", "name": "National Science Foundation", "approved": true }, "funder_divisions": [ "Technology, Innovation and Partnerships (TIP)", "I-Corps" ], "program_reference_codes": [], "program_officials": [ { "id": 11678, "first_name": "Molly", "last_name": "Wasko", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [ { "id": 612, "ror": "https://ror.org/008s83205", "name": "University of Alabama at Birmingham", "address": "", "city": "", "state": "AL", "zip": "", "country": "United States", "approved": true } ] } ], "start_date": "2023-12-01", "end_date": null, "award_amount": 50000, "principal_investigator": { "id": 28684, "first_name": "Les", "last_name": "Atlas", "orcid": null, "emails": "", "private_emails": "", "keywords": null, "approved": true, "websites": null, "desired_collaboration": null, "comments": null, "affiliations": [] }, "other_investigators": [], "awardee_organization": { "id": 159, "ror": "https://ror.org/00cvxb145", "name": "University of Washington", "address": "", "city": "", "state": "WA", "zip": "", "country": "United States", "approved": true }, "abstract": "The broader impact/commercial potential of this I-Corps project is the development of a respiratory disease diagnostic using an audio artificial intelligence (AI) algorithm. The proposed technology is designed to be deployed as a smartphone app that would enable patients to self-diagnose COVID-19 and other respiratory diseases (e.g., asthma, tuberculosis, flu, lung cancer), at-home, anonymously, and in seconds through sound analysis of voluntary cough sounds. This software application may improve global health, and prevent future pandemics by changing the landscape of diagnostic testing by bringing at-home, contact-less, low-cost pre-screening for respiratory illness directly to patients. In addition, this also may result in significant cost savings for public health departments and private medical insurers scanning for early detection of diseases in their patient populations. The proposed technology also may be used by pharmaceutical companies to measure the effectiveness of therapies for cough producing illnesses and epidemiologists and researchers could adopt this method to retrieve real-time, anonymized tracking of disease status of large populations.<br/><br/>This I-Corps project is based on the development of audio artificial intelligence (AI) algorithms for respiratory disease diagnostics. The proposed technology originates from research resulting in a complex clipping technique to detect COVID-19 from cough sound through audio signal feature extraction and machine learning. The proposed algorithm was trained on cough data collected from polymerase chain reaction (PCR)-tested COVID-19 patients through a series of clinical research studies. This work has shown that it is possible to diagnose COVID-19 from the cough sound alone with reliability similar to antigen testing, at high performance metrics (84% sensitivity, 84% specificity, 0.93 area under the curve (AUC)). It is anticipated that the technology can support robust detection of other diseases (e.g., asthma, tuberculosis, flu, lung cancer) with fewer training data by leveraging AI transfer learning on the massive dataset of cough/speech sounds from 415,406 PCR-tested patients across 20 countries. Additionally, preliminary results show that the complex clipping technique improves classification accuracy of other noises relevant for other contexts (e.g., automatic classification of underwater acoustic noises).<br/><br/>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.", "keywords": [], "approved": true } } ], "meta": { "pagination": { "page": 1384, "pages": 1424, "count": 14236 } } }