Articles tagged with Digital Data
Comprehensive exploration of living organisms, biological systems, and life processes across all scales from molecules to ecosystems. Encompasses cutting-edge research in biology, genetics, molecular biology, ecology, biochemistry, microbiology, botany, zoology, evolutionary biology, genomics, and biotechnology. Investigates cellular mechanisms, organism development, genetic inheritance, biodiversity conservation, metabolic processes, protein synthesis, DNA sequencing, CRISPR gene editing, stem cell research, and the fundamental principles governing all forms of life on Earth.
Comprehensive medical research, clinical studies, and healthcare sciences focused on disease prevention, diagnosis, and treatment. Encompasses clinical medicine, public health, pharmacology, epidemiology, medical specialties, disease mechanisms, therapeutic interventions, healthcare innovation, precision medicine, telemedicine, medical devices, drug development, clinical trials, patient care, mental health, nutrition science, health policy, and the application of medical science to improve human health, wellbeing, and quality of life across diverse populations.
Comprehensive investigation of human society, behavior, relationships, and social structures through systematic research and analysis. Encompasses psychology, sociology, anthropology, economics, political science, linguistics, education, demography, communications, and social research methodologies. Examines human cognition, social interactions, cultural phenomena, economic systems, political institutions, language and communication, educational processes, population dynamics, and the complex social, cultural, economic, and political forces shaping human societies, communities, and civilizations throughout history and across the contemporary world.
Fundamental study of the non-living natural world, matter, energy, and physical phenomena governing the universe. Encompasses physics, chemistry, earth sciences, atmospheric sciences, oceanography, materials science, and the investigation of physical laws, chemical reactions, geological processes, climate systems, and planetary dynamics. Explores everything from subatomic particles and quantum mechanics to planetary systems and cosmic phenomena, including energy transformations, molecular interactions, elemental properties, weather patterns, tectonic activity, and the fundamental forces and principles underlying the physical nature of reality.
Practical application of scientific knowledge and engineering principles to solve real-world problems and develop innovative technologies. Encompasses all engineering disciplines, technology development, computer science, artificial intelligence, environmental sciences, agriculture, materials applications, energy systems, and industrial innovation. Bridges theoretical research with tangible solutions for infrastructure, manufacturing, computing, communications, transportation, construction, sustainable development, and emerging technologies that advance human capabilities, improve quality of life, and address societal challenges through scientific innovation and technological progress.
Study of the practice, culture, infrastructure, and social dimensions of science itself. Addresses how science is conducted, organized, communicated, and integrated into society. Encompasses research funding mechanisms, scientific publishing systems, peer review processes, academic ethics, science policy, research institutions, scientific collaboration networks, science education, career development, research programs, scientific methods, science communication, and the sociology of scientific discovery. Examines the human, institutional, and cultural aspects of scientific enterprise, knowledge production, and the translation of research into societal benefit.
Comprehensive study of the universe beyond Earth, encompassing celestial objects, cosmic phenomena, and space exploration. Includes astronomy, astrophysics, planetary science, cosmology, space physics, astrobiology, and space technology. Investigates stars, galaxies, planets, moons, asteroids, comets, black holes, nebulae, exoplanets, dark matter, dark energy, cosmic microwave background, stellar evolution, planetary formation, space weather, solar system dynamics, the search for extraterrestrial life, and humanity's efforts to explore, understand, and unlock the mysteries of the cosmos through observation, theory, and space missions.
Comprehensive examination of tools, techniques, methodologies, and approaches used across scientific disciplines to conduct research, collect data, and analyze results. Encompasses experimental procedures, analytical methods, measurement techniques, instrumentation, imaging technologies, spectroscopic methods, laboratory protocols, observational studies, statistical analysis, computational methods, data visualization, quality control, and methodological innovations. Addresses the practical techniques and theoretical frameworks enabling scientists to investigate phenomena, test hypotheses, gather evidence, ensure reproducibility, and generate reliable knowledge through systematic, rigorous investigation across all areas of scientific inquiry.
Study of abstract structures, patterns, quantities, relationships, and logical reasoning through pure and applied mathematical disciplines. Encompasses algebra, calculus, geometry, topology, number theory, analysis, discrete mathematics, mathematical logic, set theory, probability, statistics, and computational mathematics. Investigates mathematical structures, theorems, proofs, algorithms, functions, equations, and the rigorous logical frameworks underlying quantitative reasoning. Provides the foundational language and tools for all scientific fields, enabling precise description of natural phenomena, modeling of complex systems, and the development of technologies across physics, engineering, computer science, economics, and all quantitative sciences.
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 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.
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 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.
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.
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.
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 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.
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 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.
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.
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.
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 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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 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 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 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.
Researchers found that users pay a price for free mobile apps, including reduced focus, sleep deprivation, and loss of physical contact. Users prefer to make one-time purchases to protect their privacy over using services with hidden costs.
The CityUHK team develops a new federated learning technology integrated with research knowledge graphs and large language models to digitally transform STI services. This will create a comprehensive, domain-specific knowledge base and provide intelligent assistant services for researchers.
Researchers develop novel workflows to digitize and future-proof biodiversity data using digital specimen DOIs and nanopublications. This enables scientists to link digital specimens to various databases, facilitating inter-institutional scientific work and saving time for AI systems.
A study using a smartphone-based wayfinding task identified individuals with increased risk for dementia, based on their movement patterns and spatial memory. The research provides promising insights into the potential of digital technologies for early detection and monitoring of Alzheimer's disease.
Karen Jo Matsler, a UTA professor, is being honored for her extensive contributions to physics education and her efforts to support educators nationwide. Her Quantum for All initiative aims to integrate quantum concepts into high school science instruction, preparing students for careers in quantum technology.
Research by Alesha Serada at the University of Vaasa highlights that NFTs in games derive value from social relations and community, rather than rarity or price. The study, focusing on CryptoKitties, suggests a three-dimensional model for value creation, including subjective player value and collective community-created value.
Researchers at MIT developed a security protocol that leverages quantum mechanics to guarantee secure data transmission during deep-learning computations. The protocol encodes data into laser light, making it impossible for attackers to copy or intercept information without detection.
SEARCH aims to accelerate healthcare innovation by generating FAIRified synthetic data for use in AI/ML models, enabling large-scale data collaborations while preserving privacy and compliance. The hub will deliver reliable methodologies for synthetic data generation, significantly increasing the availability of interoperable datasets.
A new study published in PLOS Mental Health found a relationship between daily sunlight exposure, physical activity, and depressed state. The research used wrist-based activity sensors to collect data from individuals with depression and those without, revealing that more depressed states were associated with lower daytime activity.
Researchers have developed an AI technology that can analyze mammary tissue biopsies to identify signs of damaged cells, a key indicator of breast cancer risk. The study found the AI was far better at predicting risk than current clinical benchmarks, offering improved treatment options for women.
A study analyzing health data from 780 infants found that early signs of asthma can be predicted by observing dynamic symptom development during the first year. Genetic predisposition, air pollution, and infections were key risk factors contributing to the child's respiratory system adaptation.
This study suggests that gamified digital mental health interventions can be an effective treatment option for youth with ADHD or depressive disorders. The findings provide new information for pediatricians and healthcare professionals seeking innovative solutions for pediatric mental health care.
The integration of artificial intelligence in intratumoral immunotherapy can refine diagnoses, guide interventions, predict treatment responses, and adapt therapeutic strategies. This enables the enhancement of patient outcomes, including improved survival rates and quality of life.
A new study has identified key factors to build food resilience in Sub-Saharan Africa, including diversifying suppliers, empowering local farmers, and promoting sustainable practices. The proposed blueprint aims to enhance self-sufficiency and reduce reliance on external sources.
The UC3M-Universia Chair aims to address the challenges of large tech companies' data use and create a new, transparent and fair personal data economy. Researchers will develop models and algorithms linked to AI that are interpretable and unbiased.
Researchers from the University of California, Davis, present a comprehensive framework for analyzing longitudinal activity and behavior. By employing advanced statistical techniques, they explore the relationship between activity and age-at-death in Mediterranean fruit flies, shedding light on potential links to human lifespan.
Researchers analyzed 2 million Google Street View images to explore the utility of digital data in informing public health decision-making. They found that neighborhoods with more crosswalks had lower rates of obesity and diabetes, but no significant link was found between sidewalks and health outcomes.
A 10-year study found that digital breast tomosynthesis increases cancer detection rates and reduces advanced cancers compared to conventional 2D digital mammography. DBT detected more aggressive cancers at an earlier stage than digital mammography, leading to improved cancer detection and lower recall rates.
A Cornell University-led research team found that using a technique called 'cultural prompting' reduces bias in large language models like ChatGPT for over 100 countries. The approach involves specifying a cultural identity directly in prompts, adapting to different cultural norms and values.
A systematic review of pharmacogenomics clinical decision support systems found that e-health tools can help integrate personalized medicine into everyday clinical practice. However, current implementation is limited, particularly in non-US healthcare systems.
Rice University researchers developed ElasticDiffusion, a method that separates local and global signals to create non-square aspect ratio images without visual imperfections. The new approach can improve consistency and realism in AI-generated images, but still requires significant computational power.
Hassan's research focuses on creating advanced techniques for collecting and integrating data provenance to enhance threat detection. The project also includes educational initiatives to prepare the next generation of cybersecurity professionals.
The new Corporate Lab aims to advance collaboration between industry and public sector researchers to address real-world challenges in sustainable living and digital technologies. It will develop and trial novel digital technologies prioritizing sustainable ecosystems and lifestyles, including energy-efficient AI algorithms, green clou...
A new smartphone-based digital holographic microscope enables precise 3D measurements and has potential applications in medical diagnostics, education, and resource-limited settings. The portable device uses a simple optical system created with a 3D printer and calculates reconstructions based on a smartphone.
A novel deep learning model, DS-ViT-ESA, was developed to predict lithium battery lifespan with high accuracy using only a small amount of charging cycle data. The model achieved low prediction errors even when tested on unseen charging strategies, demonstrating its zero-shot generalization capability.