Articles tagged with Digital Data
The study analyzed DNA from over 100,000 participants and found that nearly 2,000 carried at least one genetic variant linked to these diseases. The findings have led to life-changing discoveries and new insights into personalized medicine.
Scientists at MIT developed a fully integrated photonic processor that can perform all key computations of a deep neural network optically on the chip. The device completed machine-learning classification tasks in under half a nanosecond while achieving over 92% accuracy, similar to traditional hardware.
Researchers criticize the Digital Twin of Earth concept, highlighting the discrepancy between scientific models and reality. New computer models require new methods for appropriate data analysis and interpretation to ensure accurate knowledge and results.
A new digital twin model for lithium-ion batteries has been developed, offering enhanced simulation accuracy and real-time monitoring capabilities. The model demonstrates exceptional performance in simulating terminal voltage and shell temperature, with minimal mean absolute errors.
Researchers from Tokyo Metropolitan University have used skin conductance measurements to tell emotions apart. The team's analysis showed that changes in skin conductance over time can be used to discriminate emotional states, with potential applications for emotionally aware devices.
A new review uncovers FinTech's dual impact, transforming financial governance and fostering technological innovation. Strong regulatory mechanisms support this acceleration, driving digital industrialization and economic growth in states with well-developed infrastructures.
Researchers from Brazil and Spain developed computer models to estimate crop maturity and yield using remote sensing technologies, increasing productivity and reducing CO2 emissions. They also created a system to estimate soil moisture levels with high accuracy, helping growers manage water usage more efficiently.
A machine learning algorithm developed by researchers at Aarhus University can identify patients at high risk of involuntary admission within six months. The study, based on electronic health record data, suggests that the algorithm can improve targeted treatment and prevention in psychiatric services.
This editorial introduces persistence landscapes as a mathematical method to identify and correct biases in medical imaging. Persistence landscapes offer a way to reduce random noise while preserving important details, making it easier for clinicians to focus on meaningful image parts.
A recent study found that combining informative and persuasive cues, especially monetary incentives, boosts opt-ins. However, purely informative messages don't necessarily increase opt-ins. Firms with significant offline presence tend to use more persuasive strategies.
Researchers used fitness tracker data and machine learning to detect bipolar disorder mood swings with 80.1% accuracy for depression and 89.1% accuracy for mania. The study's findings move the field toward personalized algorithms suitable for all patients, regardless of compliance or device access.
Researchers introduce a new tool called 'persistence images' that uncovers hidden biases in medical imaging data, advancing fairness in healthcare AI. The technology helps detect bias, filter out noise, and improve overall accuracy, leading to more reliable diagnoses and better patient outcomes.
The University of Rhode Island-based report card gives failing grades to over half the world's countries, with a median score of 52. Democratic countries tend to have better human rights records, but exceptions exist. The US scored a 62.5, ranking 66th, despite being a wealthy democratic country.
Researchers found that ancient rock painting sites by water generated strong echoes that could be heard by people approaching the site. The echoes allowed prehistoric hunter-gatherers to perceive their surroundings in a unique sensory environment. This discovery sheds light on the importance of sound reflections in past societies.
The National Center for Supercomputing Applications (NCSA) has received the Readers' Choice Award: Best HPC Collaboration and Editors' Choice: Best Use of HPC in Physical Sciences. This is the 14th consecutive year NCSA has been honored with an HPCwire award.
A new study found that local and non-Anglo artist representation in Australian charts has declined since the rise of digital streaming. Indigenous music from Australia and New Zealand saw a significant decline in singles chart share, from 16.6% to 2.5%, while albums chart share also decreased.
Researchers in Lithuania have developed Forest 4.0, a smart forest data processing model that enables real-time monitoring of forest conditions, sustainable resource accounting, and transparent governance. The system uses IoT sensors and AI algorithms to detect tree diseases, illegal logging, and predict changes in forest ecosystems.
The Mount Sinai Health System has received the 2024 CHIME Digital Health Most Wired recognition as a certified level 9 in acute care and level 8 in ambulatory care. The system leverages digital health solutions to enhance patient care and reduce administrative burden.
A new book by Dr Merten Reglitz proposes a human right to free internet access, including protections against government censorship and surveillance. The research argues that governments should provide guaranteed access to the internet with sufficient quality to meet basic human rights needs.
Researchers introduce persistence barcodes, a tool that reduces diagnostic bias and uncovers subtle details in medical images. The method preserves key structural details, enabling clearer insights into the data.
The Upanzi Network will fund research projects in Morocco, Botswana, and South Africa, focusing on innovation and open standard technologies. Researchers from different African regions will collaborate to develop context-specific digital solutions, addressing local needs and culture.
Researchers developed a machine-learning tool that provides accurate predictions for flood-prone areas, using historical data and weather-based predictors. The model can predict short-term river discharge with high accuracy, giving real-time data on water movement through the river.
Researchers found that female CryptoPunks avatars were sold at a 37% lower price than their male counterparts, while Black CryptoPunks avatars were sold at a 31% lower price than White counterparts. Avatars with features associated with high-tech or higher education countered these disparities.
The 8th Digital Olfaction Society World Congress highlights groundbreaking advancements in digital olfaction, from smart necklaces to drones equipped with olfactory sensors. The event showcases innovative applications of scent digitization technologies, including virtual reality systems and e-nose devices for early disease detection.
Researchers developed a novel model predicting mood episodes using only sleep-wake pattern data from wearable devices. The study found daily changes in circadian rhythm are key predictors of mood episodes, offering new possibilities for tracking individual changes to prevent future episodes.
A new approach using topological data analysis (TDA) enhances the reliability and reduces bias in AI systems used for medical diagnosis in radiology. TDA captures intricate features and provides a holistic view of medical images, leading to more accurate diagnoses and equitable patient care.
Researchers will track thousands of 11-13 year olds and follow the same participants over decades to determine how digital media affects attitudes, behaviors and health. The study aims to understand the impact of digital media use on sleep quality and mental health in adolescents.
Research from the University of Surrey found that physical cash fosters a sense of psychological ownership, leading to more responsible spending behaviors. Participants in focus groups and questionnaires reported feeling a deeper connection to their money when using cash, which is lacking with digital payments.
A team of researchers has created a model that predicts landslide risk in coastal areas, using high-resolution images to identify over 1,000 landslide points in São Sebastião, Brazil. The new methodology aims to provide more precise results and will be ready by the end of 2025.
The C-Path initiative aims to generate drug development solutions that reflect each person's unique experience, leveraging diverse data and innovative technologies like AI and digital health. GEM-PD seeks to address unmet need in Parkinson's disease therapies by focusing on sex and gender differences.
A new method uses Near-Infrared Spectroscopy to predict strawberry quality and minimize food waste, extending shelf life and reducing greenhouse gas emissions.
The Healthcare AI Challenge enables healthcare professionals to evaluate and compare AI solutions for their effectiveness in various clinical situations. By crowdsourcing input from experts, the challenge aims to create continuous and reliable expert evaluations of AI technologies in medicine.
A Chinese Medical Journal study reveals that patients with prostate cancer can undergo surgical removal without a pre-operative biopsy, using a combination of mpMRI and PSMA PET/CT imaging. This approach reduces costs and complications associated with traditional biopsy methods.
HemaChrome's machine learning-based technology enables instant and noninvasive measurement of blood hemoglobin levels from digital photos, facilitating point-of-care diagnostic tests. The collaboration with Global Health Labs aims to address anemia diagnosis gaps in low- and middle-income countries.
The Digital Olfaction Summit 2024 will present the latest developments in digital olfaction, including portable sensors like Scout3 and NeOse, and wearable devices for real-time scent detection. The event will also feature a unique challenge to digitize scents representing regional cultural essence.
Digital twins simulate real-world objects or systems, allowing researchers to explore unexplored scenarios and gain insights. Complexity data science combines techniques from complexity science and data science, providing novel capabilities for society's challenges.
A new study introduces the Meuhedet Electronic Frailty Index (MEFI) to assess frailty in older people and identify those at risk for serious health outcomes. The index classifies individuals as 'fit,' 'mildly frail,' or 'severely frail' and has been shown to predict mortality and hospitalization with high accuracy.
The editorial highlights how digital tools improve patient outcomes through better monitoring, individualized care, and seamless communication between patients and healthcare providers. Digital health innovations also address key challenges such as data privacy and accessibility.
AI models trained on limited data may misdiagnose certain populations, particularly those in underserved communities. Researchers propose six key strategies to develop fair AI models, including using diverse datasets and transparent decision-making processes.
The American Heart Association has announced five health technology start-up companies as finalists in its 7th annual Health Tech Competition. The competition aims to drive technological advancements with the potential to transform heart and brain health patient outcomes.
A groundbreaking study from Queen Mary University of London uncovers the role of music and soundscapes in toy advertising, revealing how they convey and reinforce gender stereotypes. The research highlights the need for more comprehensive regulation to address the societal implications of these messages.
Researchers at the University of Liverpool developed AI-driven mobile robots that can perform exploratory chemistry research tasks faster and more efficiently than humans. The robots use AI logic to make decisions, processing analytical datasets in real-time to determine the next steps in chemical synthesis.
Researchers at NCSA have presented a novel post-quantum cryptography network instrument to measure PQC adoption rates and ensure secure data safeguarding. The project's findings indicate that only OpenSSH and Google Chrome have successfully implemented PQC, achieving an initial adoption rate of 0.029%.
A Johns Hopkins study found that adding digital feedback to traditional health counseling for parents improves healthy growth in young children. The study, which used text messages and a web-based dashboard, reduced obesity rates in the first two years of life.
A study analyzing social media posts found fast food restaurants and sugar sweetened beverages are the most common, with millions of mentions reaching billions of users. The research argues that normalizing unhealthy eating in the digital environment contributes to obesity challenges worldwide.
Two teams, led by Rice's ENRICH office, have won $100,000 in matching funds from partnering institutions to investigate AI-based symptom checkers and electrocardiogram data for improving cardiovascular risk assessment. The projects aim to mitigate vulnerabilities and reduce health disparities.
Researchers developed a novel neural network model to reconstruct 3D digital images of relief-type cultural heritage objects from old photos. The model improves the accuracy of depth estimation and soft-edge detection, enhancing the preservation of cultural heritage.
A new study found that embedding a customizable digital pet game within a popular smoking cessation app increased user engagement and direct use of the app's smoking cessation tools. Overall engagement with the app increased by 20 percent, and direct use of the tool increased by 30 percent among participants who had access to the game.
Researchers developed a large-scale optical programmable logic array that can execute complex models like Conway's Game of Life, marking a significant advancement in optical computing. The array uses parallel spectrum modulation to achieve an 8-input system, significantly expanding the capabilities of optical logic operations.
The partnership aims to create, study, and implement digital health solutions to address mental and behavioral health conditions. Researchers will use ecological momentary assessment and digital sensors on a patient's mobile phone to monitor cognitive and negative symptoms of schizophrenia.
Research from Thomas Jefferson University and Esperanza Health Center aims to overcome healthcare disparities by developing short, accessible videos to teach patients how to use health portals. The study identified key obstacles, including limited digital literacy, language barriers, and lack of trust in telehealth platforms.
A new study calls for a 'child rights' approach to age assurance online, emphasizing the need for robust evaluation, consultation with children, and protection of their privacy and civil rights. The research identifies serious concerns related to age assurance methods, including inadequate protections against online harm and exploitation.
Researchers develop a novel edge-highlighting visualization technique to improve the clarity of complex 3D structures, revealing sharp edges and intricate details. The technique, tested on real 3D point cloud data, offers interactive rendering speeds and enhances depth perception.
The new approach utilizes epigenetic principles to encode digital information onto existing DNA strands, significantly increasing storage capacity and reducing costs. The technique enables the storage of vast amounts of data in a minuscule space for long durations, offering a major shift from conventional storage technologies.
Aston University researcher has developed a new technique harnessing Orbital Angular Momentum (OAM) light to improve imaging and data transmission through skin and biological tissues. The OAM-based approach shows unmatched sensitivity and accuracy, paving the way for non-invasive medical diagnostics and imaging.
Researchers have developed a technology called FarrSight-Twin that creates digital twins of real cancer patients to predict treatment response. The approach was tested on published clinical trials and showed accurate predictions in all simulated studies, with 75% response rate among patients receiving the predicted best treatment.
A new approach to secure computing enables the analysis of patient data from different institutions without sharing actual data, utilizing secure multiparty computation. This breakthrough facilitates targeted therapies with fewer side effects, increasing survival rates and quality of life for cancer patients.
A recent study from University of Cambridge and University of Pennsylvania found a positive association between Airbnb rentals and police-reported robberies and violent crimes in thousands of London neighborhoods between 2015 and 2018. An additional 1,000 robberies per year would correspond to a 10% increase in active Airbnb rentals.
A new study by Florida Atlantic University explores the experiences of harm in the metaverse among US youth, finding that 33% of teens own a VR device and 13% use it weekly. The study reveals significant percentages of youth reporting hate speech, bullying, harassment, and grooming behaviors.
Researchers at Chung-Ang University developed a novel GAN model, PMF-GAN, to address stability and efficiency issues. The model utilizes kernel functions and histogram transformations to improve the generator's ability to produce diverse outputs, reducing mode collapse and gradient vanishing.