Articles tagged with Digital Data
A Swansea University-led study found that parents with higher health literacy were more likely to get their children tested for COVID-19. The research also identified factors associated with increased likelihood of positive test results, including deprived areas and physical activity levels.
Researchers at UTHealth Houston will create a coordinating unit for biostatistics, informatics, and engagement to advance knowledge about human brain neurons. The project aims to produce an open-access digital brain cell reference atlas to improve understanding of neurological functions and disorders.
Researchers reviewed mobile sensing designs, outcomes, and limitations to better understand its capacity for remote detection, longitudinal tracking, and exposure tracing. Despite technical and societal challenges, advances in data analytics and machine learning may improve data quality and scalability.
Two new studies published in NEJM Catalyst demonstrate the remarkable effectiveness of telemedicine in addressing access barriers and improving health outcomes. The research highlights the benefits of telemedicine for patients with transportation challenges, mental health services, and overall quality of care.
The MEMEX project promotes social cohesion by using AI and interactive tools to share community stories linked to cultural heritage. The exhibition features audio-visual stories from Lisbon, Barcelona, Paris, and Genoa participants who co-created their own digital content.
A team of scientists created a digital mask that can erase identifiable features from facial images while retaining disease-relevant information, allowing for precise diagnosis and reducing the risk of data breaches. The study found that patients are more willing to share their medical data if such a measure is implemented.
The UT Institute of Agriculture has received a grant to implement the 4-H Tech Changemakers program, which aims to increase digital literacy and bridge STEM gaps among Tennesseans. The program will provide students with enhanced opportunities for STEM education through non-traditional methods, dismantling system barriers.
A new study found that rating inflation can have both positive and negative effects on digital platforms. While sales increased due to higher ratings, users' trials declined, and sales were concentrated among popular sellers. The study highlights the importance of building informativeness into rating systems to minimize rating inflation.
Researchers from Singapore University of Technology and Design (SUTD) have developed a new Brain-Inspired Replay model that enables continual learning in edge computing systems without storing data. This approach achieves state-of-the-art accuracy and high energy efficiency, overcoming the stability-plasticity issue in traditional models.
The proposed CODE-EHR best practice framework aims to standardize the use of structured electronic healthcare records in clinical research. The framework focuses on identifying and addressing data quality issues, ensuring interoperability between systems, and promoting transparency and trust.
The 7th International Meeting of the Digital Olfaction Society will take place in Tokyo, Japan, with a focus on digitalizing smells and aromas. The meeting aims to gather researchers, academics, and industry professionals to share knowledge and develop practical applications for olfactory digitization.
A University of the Basque Country team has successfully produced starch-based pharmaceutical tablets using 3D printing technology. The tablets display varying release properties depending on the type of starch used, offering promising solutions for personalized medicine and tailored drug delivery.
Researchers developed a digital health system approach to enhance clinical decision-making for low-back pain sufferers. The system combines self-reported pain measures with precise motion-sensing data, revealing functional improvements only after six months of surgery.
A West Virginia University researcher highlights the risks of sharing children's information on social media, including consent and privacy issues, as well as increased vulnerability to online predators. The study suggests that parents should be aware of these risks and take steps to protect their children's digital footprint.
A study published in Patterns shows that five digital medicine companies share browsing data related to health topics with Facebook for lead generation and advertising purposes. The researchers found that two companies targeted ads consistent with their own privacy policies, while the other three did not comply with their policies.
A new study suggests that members of the public want to know if their health information or samples from their bodies will be used in research or to help develop new biomedical products. The study found that patients are more likely to want notification about research use of their health information than biospecimens.
The Nature's Notebook platform has collected over 30 million phenological records, enabling data-driven natural resource management. The platform is well-suited for answering well-defined questions but faces limitations in addressing unplanned queries due to spatial and temporal unevenness and species biases.
Researchers at ORNL developed a theory that thylakoids help plants tolerate harsh conditions, while a digital platform informs on hydropower development. AI-powered neutron scattering can also accelerate experiments, and e-waste recycling is being explored.
A team led by Professor Song Min Kim developed a system that can support concurrent communications for tens of millions of IoT devices using backscattering millimeter-level waves. The system offers internet connectivity on a mass scale to IoT devices at a low installation cost.
Researchers developed an EHR-embedded card study to replace traditional paper-based methods in clinic-based research. The digital tool increased efficiency and reduced labor costs, as each participant's responses were linked to clinic and patient data.
The partnership aims to enhance early detection and reporting for emerging diseases, building a robust decentralized global surveillance network. The collaboration will focus on advancing equitable data-sharing practices, bolstering epidemiological and genomic surveillance in low- and middle-income countries.
Researchers found a flaw in Google/Apple's exposure notification framework that can be exploited for replay attacks, potentially causing false positive notifications and disrupting trust in the system. A patch, called GAEN+, has been developed to address this issue using coarse location data from Wi-Fi access points and cell phone towers.
A new blockchain model proposes to give Indigenous governments control over how genomic data are used, prioritizing community priorities and respecting Indigenous Nations' rules and regulations. This framework aims to prevent the misuse of genomic data and reinforce stereotypes.
Scientists have created a durable molecular encryption key using sequence-defined polymers that can store and transport digital keys securely. They successfully decrypted a file with text from The Wonderful Wizard of Oz by extracting the key from ink in a letter, demonstrating the approach's potential for real-world applications.
Researchers developed smart textiles that sense wearer's posture and motions using a novel fabrication process called thermoforming, which improves pressure sensor precision. The technology has potential applications in healthcare and rehabilitation, such as tracking gait or monitoring pressure on diabetic patients' feet.
A recent analysis found that Big Tech companies can provide innovative financial services to people excluded from traditional banking, improving financial inclusion. However, the authors caution that without proper education, these services may introduce risks to financial stability.
The construction of dams and changes in land use have significantly impacted the amount of sediment rivers carry to oceans. Sediment transport has decreased by 49% globally due to dam construction, while increasing on 36% of rivers in the south, primarily driven by deforestation.
A new study shows that community science activities can produce high-quality taxonomic data sets, empowering community scientists and supporting biodiversity discovery. Thousands of microscopic liverwort leaves were measured by community scientists over two years, with surprising accuracy.
The Impact Acceleration Account supports critical early-stage translation of UK research to transform public services, create new businesses, and jobs. The programme provides funding to unlock the value of UK research, including commercialisation of new technologies.
The study investigated changes in vaccine recipient demographics before and after digital and community-based outreach interventions in an underserved NYC community. The findings suggest a positive impact on vaccine uptake among racial and ethnic groups, highlighting the effectiveness of these interventions.
A conceptual species 'stock market' aims to assign economic value to species and ecosystems, promoting sustainability and biodiversity conservation. The SSM would enable the valuation of ecosystem services and actions that harm or benefit biodiversity, fostering a unified approach to environmental decision-making.
Researchers at University of Texas at Austin and Texas A&M have developed an electronic tattoo that can deliver continuous blood pressure measurements with accuracy exceeding most available options. The device uses graphene bioimpedance analysis to take precise readings, promising a significant improvement in mobile health monitoring.
MIT researchers demonstrate two security methods that protect analog-to-digital converters from powerful attacks, including power and electromagnetic side-channel attacks. The techniques are more efficient and less expensive than other security methods, minimizing power consumption and cost for portable smart devices.
Charité is leading four new EU projects tackling environmental impact on mental health, developing a cell therapy for IgA nephropathy, and improving AI-assisted stroke care. The projects aim to advance research and innovation in these areas.
The Flinders-designed QOL-ACC tool assesses six key quality of life dimensions and has been implemented with over 1000 older Australians, delivering improved standards and transparency in aged care. The results show that the tool performed strongly in a pilot trial, with lower scores for those with poorer self-reported health status.
A Cornell University study found that consumers will use milk carton QR codes to better depict how long the milk is drinkable, potentially reducing agricultural and food waste. The use of QR codes could also help retailers discard less food by providing consumers with more accurate 'best-by dates'.
A new mobile app provides effective support for children with obesity by tracking their weight development in real-time and offering personalized care. The app achieved twice the weight loss results compared to conventional care, particularly benefiting adolescents who were previously difficult to reach with behavioral therapy.
A team of researchers at Indian Institute of Science developed a record-breaking true random number generator (TRNG) that uses the random motion of electrons to generate secure random numbers. The device, which is more compact and faster than previous TRNGs, has exceeded NIST standards with a high min-entropy value of 0.98.
The Collaborative Research Centre Hearing Acoustics is developing smart hearing aids that use artificial intelligence to adjust to different environments. The project, which aims to create more adaptable hearing devices, has received $8.1 million in funding for another four years.
The collaboration between public and private organizations has led to innovative applications in tourism and culture sectors. Visitors can interact with a humanoid robot and solve puzzles using Meta Quest visors connected to the 5G network, exploring artworks and moving virtual objects.
Researchers are utilizing UAVs to capture real-time images of rice crops, extract crop phenotypic traits from the images, and analyze that information to discover superior, high-yielding rice genotypes. The team aims to develop automated algorithms to identify key traits and select best-performing rice genotypes.
A new project led by University of Illinois professor Jingrui He seeks to detect and predict insider threats in large organizations. The team will use multimodal data to identify outliers and rare category types of insider threats and propose dynamic update techniques.
Researchers at Boston University School of Medicine have developed a novel AI algorithm, Graph Transformer (GTP), to classify lung cancer subtypes based on whole slide images. The framework outperforms current state-of-the-art methods and has implications beyond digital pathology for computer vision applications.
A global effort has been launched to create a digital twin of the human immune system, inspired by the COVID-19 pandemic. This 'digital twin' could enable precision medicine for various ailments, including cancer and autoimmune diseases.
Researchers developed XGBoost machine learning models using de-identified EHR data from the National COVID Cohort Collaborative to identify potential long-COVID patients. The models achieved high accuracy, identifying key features such as post-COVID respiratory symptoms and pre-existing risk factors for acute COVID severity.
Plazi receives EUR 1.5 million grant from Arcadia Fund to develop Biodiversity Literature Repository (BLR), providing access to over 750,000 taxonomic treatments, figures, and material citations. The project aims to liberate data from scientific publications, making it FAIR and open for researchers.
Private companies like GlaxoSmithKline and Imperial College London have carried out high-risk breaches, handling sensitive patient data outside of agreed contracts. NHS Digital's audits show that many organisations have failed to protect patient confidentiality, with no consequences for those who breach agreements.
Researchers at EPFL's School of Life Sciences create a digital twin of Drosophila called NeuroMechFly, which uses biomechanical modeling and machine learning to simulate the fly's movements. The model is validated through experiments that demonstrate its accuracy in replicating real animal behaviors.
A team of scientists at Argonne National Laboratory has developed a new qubit platform formed by freezing neon gas into a solid and trapping an electron there. The platform shows great promise in achieving ideal building blocks for future quantum computers, with promising coherence times competitive with state-of-the-art qubits.
A new study developed a way to use satellite imaging data to create 3D images that can quickly detect changes on the Earth's surface. The tool could be used to detect significant natural disasters in remote regions, giving first responders accurate information about the needs of the affected region.
For 18 out of 21 analyzed conditions, patients with telehealth consults did not require more unplanned hospitalizations or emergency department visits within 14 days compared to those making an initial in-person visit. However, patients with upper respiratory infections and bronchitis were more likely to need follow-up visits.
Researchers developed a new set of privacy-preserving tools to automatically detect and filter spam on WhatsApp. These tools can safeguard users' privacy without compromising on safety goals.
A new study by Scripps Research analyzed sensor data from wearable devices to track physiological responses to the COVID-19 vaccination. The findings show that resting heart rate increased significantly after vaccination, with stronger effects in younger individuals and those who had prior COVID-19 infection.
A new magneto-electric transistor has been developed by researchers at the University of Nebraska-Lincoln and the University at Buffalo. The design can reduce energy consumption by up to 75% and retain memory in event of power loss, making it a promising alternative to silicon-based transistors.
A blockchain-based platform can improve supply chain efficiency and trust development at UK borders. The RFIT platform provides a single source of validated data, increasing visibility and reducing data asymmetry between border agencies and suppliers.
Researchers warn that telehealth's potential to reduce health inequities is threatened by digital redlining, digital fluency, and lack of health advocacy. To address these barriers, they propose a three-pronged approach to increase access and healthcare literacy.
Researchers assess development and performance of tailored approaches to fertilizer application in SSA, highlighting scalability and technical challenges. Solutions to overcome barriers to widespread adoption are outlined, including investment in soil capacity estimation and farmer-friendly digital tools.
Volunteers transcribed 130 years of handwritten rainfall observations, extending the UK's rainfall record back to 1836. The new data provides insights into extreme dry and wet months, as well as recent changes in rainfall due to climate change.
A new digital approach analyzes audience interests across a broad brand ecosystem, identifying non-traditional branding opportunities. The study reveals cross-category insights, including brand-brand and brand-category connections, which help assess co-branding and extension opportunities.
Scientists from Cardiff University have developed a new artificial intelligence method to automate the extraction of information from large collections of museum specimens. The 'image segmentation' method can accurately locate and bound different visual regions on images, allowing for faster and more efficient digitization processes.