Articles tagged with Data Visualization
Researchers developed an algorithm to classify patients into disease subtypes based on molecular changes, enabling more targeted treatments. The tool has shown potential in a study on non-alcoholic fatty liver disease, identifying lipid biomarkers for disease progression.
The review highlights advances in fundamental visualization methods for medical images in 3D, including scalar, vector, and tensor data. Medical professionals can quickly locate proper techniques using a taxonomy of medical problems and examples of health applications.
Health dashboards have proven their value during the COVID-19 pandemic and can now be used to track emerging public health threats such as cancer, HIV, and traffic injuries. Investing in people, processes, and technology is necessary to create effective dashboards that provide decision-makers with accurate and timely information.
Researchers found that showing total case counts makes people view the pandemic as more serious, leading to increased caution and reduced risk-taking behavior. Conversely, presenting new daily cases can make the data seem less impactful.
Researchers developed a new method for generating network layouts that allow for visualizing different information in two- and three-dimensional virtual space. This facilitates the exploration of complex protein interactions and provides more versatile, comprehensible representations of networks.
Researchers at University of Texas at Austin create first-ever biologically authentic computer model of HIV-1 virus liposome, shedding light on replication and infectivity. The study reveals key characteristics of the liposome's asymmetry and its role in shaping macroscopic properties.
Scientists monitoring hundreds of US streams with sensor technology are gaining insights into how freshwater vital signs shift in response to land development and climate change. The data, made publicly available, will help track changes over time and provide a better understanding of the 'pulse' of streams.
Researchers from Argonne National Laboratory have created a set of new practices to guide the curation of high energy physics datasets, making them more FAIR and reusable. The goal is to automate the finding and use of data for humans and streamline the development of AI tools for scientific discovery.
Researchers at Wellesley College found that people frequently misinterpret bar graphs, with one in five graph readers categorically misunderstanding averages. The 'bar-tip limit error' occurs when viewers interpret the tip of the bar as the outer limit of the data, despite the average being the balanced center point.
The NYU Tandon team is developing an AI 'virtual assistant' to provide just-in-time visual and audio feedback for complex tasks. The project aims to create a dynamic intelligent agent that engages with users, responding to their emotional state, location, and surrounding conditions.
The Forest Condition Monitor tool uses color-coded visualization to identify areas of high-stress forests across Europe, allowing for targeted conservation efforts and research. Scientists can study these regions to understand eco-physiological processes and warn forest owners of potential risks.
The OneZoom tree of life is an interactive visualization that connects over 2.2 million living species, showcasing their evolutionary history and threat status. The platform also features images of over 85,000 species and allows users to explore their relationships with others.
A new database has been launched to systematically record findings on perovskite semiconductors, featuring over 42,000 individual data sets and analysis tools for interactive exploration. The FAIR principles guide the preparation of the data, enabling easy searching with modern algorithms and artificial intelligence.
A new visual analytics tool, Sibyl, was developed to help child welfare specialists understand machine learning predictions. The tool uses bar graphs to show how specific factors of a case contribute to the predicted risk that a child will be removed from their home within two years.
A team of scientists developed a free VR tool called singlecellVR, allowing users to explore single-cell datasets in VR. The program is built on previous advancements and enables users to visualize their own precomputed data directly from commonly used single-cell analysis tools.
A new study by MIT researchers has found that blind and sighted readers have sharply different takes on what content is most useful to include in a chart caption. The study created a four-level framework for evaluating charts, which could help develop more effective tools for automatically generating captions and alternative text.
Research by Imperial College London found life expectancy declined in nearly one-fifth of women's and one-ninth of men's communities between 2014-2019. Communities with lowest life expectancy were often located in urban areas in the North of England, with stark geographical differences observed.
Researchers used extensive 2D and 3D broadband seismic reflection data to visualize and understand the subsurface structures of the Orphan Basin. The study provides context for future assessments of source rock, reservoir, and seal strata in oil and gas exploration.
The Alvis tool helps bioinformaticians analyze DNA sequence data and reference genome databases for more accurate assembly results. It detects chimeric sequences, which can affect data accuracy, and produces efficient vector images for human interpretation.
Coronavirus skeptics have been using state-of-the-art data visualizations to advocate for opposing approaches to the pandemic, often creating counter-visualizations that are indistinguishable from those shared by mainstream sources. Researchers found that these visualizations were not just sloppy or lacking in data literacy, but rather...
The Genomic Data Commons has become a leading cancer genomics resource with over 84,000 anonymized patient cases and 65 projects contributing to the platform, providing a critical role in advancing precision medicine.
A new study developed a transparent and reproducible machine learning tool, TL-Lite, to facilitate analysis of health information. The tool can be used in clinical forecasting, predicting trends and outcomes in individual patients, and is particularly useful for organizing clinical data into meaningful visualizations.
A new study found that over half of COVID-19 data visualizations shared on Twitter contain errors that reduce their clarity, accuracy, or trustworthiness. The study identified five common pitfalls, including mistrust due to lack of data source identification, and suggests steps to overcome these issues.
Researchers at the University of Cambridge developed vLUME, a virtual reality software that allows for the visualization and analysis of complex biological data. This enables faster testing and analysis, leading to new discoveries and insights into fundamental problems in biology.
A computer science professor at UTA is working on a process called network decoupling, which converts large datasets into individual layers that can be connected and analyzed in different ways. This approach makes it easier to visualize data and results, enabling analysts to picture how the layers of data fit together.
Astronomers at Harvard University have discovered a giant, wave-shaped gaseous structure made up of interconnected stellar nurseries in the Milky Way galaxy. The 'Radcliffe wave' stretches over trillions of miles and challenges traditional views of nearby stellar nurseries as an expanding ring.
Claudio Silva was inducted into the inaugural cohort of the IEEE Visualization Academy for his seminal contributions to point-based modeling and surface reconstruction. He is a highly respected researcher with numerous publications and patents, including those related to VisTrails and urban data visualization.
A team at NYU Tandon created a system that lets people use simple English to create complex machine learning-driven visualizations using VisFlow and FlowSense. These frameworks make non-expert users more comfortable with data modeling while providing shortcuts for experienced users.
Brittany Seto, a UC Riverside alumna, interned at NASA's Jet Propulsion Laboratory and is now working on Mars projects. The university has set a record for the number of UCR undergraduates interning at JPL, with 22 students participating in the FIELDS program.
A new cloud-computing platform called brainlife.io is being used to support and publish reproducible neuroscience research, potentially reducing delays in discovery. The platform is being used to advance research on multiple health care studies, including sports concussion and Alzheimer's disease.
A new method called FIt-SNE has been developed to speed up the analysis of single-cell gene expression data, reducing rendering time from over three hours to just fifteen minutes. This innovation allows researchers to capture rare cell populations and visualize thousands of genes at the level of single cells simultaneously.
Researchers at KAUST have developed VR apps to visualize and interpret complex datasets in three dimensions. These apps use immersive technologies to allow users to interactively explore features of the data, leading to more accurate statistical models.
KAUST researchers develop efficient method for collective estimation of brain signal spectral densities, enabling detection of correlations among brain regions. The approach uses clustering to reduce data dimensionality and visualizes similarity among time series.
Researchers at Columbia University developed a new method to quantify visual complexity in line charts, enabling easier decision-making in emergency settings. The 'Pixel Approximate Entropy' technique provides a score that automatically identifies difficult charts, facilitating the development of more intelligent data science systems.
The Oak Ridge National Laboratory's Eclipse Integrated Computational Environment (ICE) simplifies complex simulations by providing a comprehensive suite of scientific computing tools. Researchers can define problems, run simulations locally or remotely, and analyze results using a user-friendly interface.
The project aims to build accurate digital reconstructions and simulations of the rodent brain. The latest version of RTNeuron provides real-time rendering capabilities for visualizing neurons, synapses, and simulation data.
A new tool called DesignSafe is helping researchers improve their ability to predict hurricanes, move people out of harm's way, and build homes that can survive the worst nature can throw at them. The platform provides critical information about natural hazards and enables engineers to design safer structures.
HyperTools uses mathematical techniques to visualize complicated datasets and reveal underlying geometric structures. The tool provides insights into patterns, clusters, and relationships in data, enabling researchers to develop machine learning algorithms.
A new application of data analysis and visualization techniques has been developed to improve the representation of multidimensional materials data. This approach enables scientists to extract useful relationships among properties, facilitating discovery and industrial use in nanomaterials research.
A three-year Lancaster University project uses geographic information systems (GIS) and 3D modeling to analyze space and place in literary texts. The project creates interactive and immersive teaching resources, including Minecraft versions of fictional settings.
A team of researchers from Brown University has developed a new system called QUDE that adds real-time statistical safeguards to interactive data exploration systems to help reduce false discoveries. The system provides color-coded feedback on statistical significance, allowing users to avoid common mistakes in hypothesis testing.
Researchers have developed Vizier, an open-source software to 'clean' big data, making it easier for users to explore, visualize, and communicate insights. The tool is designed for massive datasets, allowing users to spot errors and offer solutions.
A new platform, Microreact, combines real-time global data sharing and visualization to track and understand outbreaks of diseases like Ebola and antibiotic-resistant microbes. This tool democratizes genomic data, allowing researchers and public health professionals to access and build upon each other's work.
Researchers have developed a tool to visualize network traffic data, allowing analysts to identify key changes and patterns. The tool has been used to inspect network traffic during DDoS attacks and map out malware distribution networks.
Amy McGovern uses high-resolution simulations, data mining, and visualization techniques to identify precursors of tornadoes and improve warning lead times. Her goal is to reduce false alarms and increase prediction accuracy.
A new toolkit has been developed to simulate, analyze and visualize particle accelerator studies using advanced visualization tools and supercomputers. This enables faster and more efficient simulations, reducing memory usage and saving computer time.
Researchers developed a novel visualization tool to explore dynamic Bitcoin transactional data, revealing behavioral patterns and potential money laundering activities. The top-down approach enables drill-down analysis of individual transactions.
Researchers developed a visual cloud computing architecture to streamline data processing in disaster situations. The system helps first responders and law enforcement make informed decisions by providing critical visual data, such as suspect tracking and hazardous material detection.
A study by University of Washington researchers found that doctors struggle to review patients' self-tracked data due to lack of capacity and tools. However, when patients provide organized and summarized data through paper diaries or specific tracking tools, providers can use it effectively in diagnosis and treatment.
Indiana University faculty experts will present at the 2016 Annual Meeting of the American Association for the Advancement of Science. Katy Börner will discuss visual analytics and data visualization techniques, while Noretta Koertge will explore scientific virtues and research ethics.
The University of Hawaii will develop a large-scale data visualization system, CyberCANOE, using a $857,000 NSF grant. The system will provide an alternative approach to ultra-resolution display environments and enable researchers to work together more effectively with large amounts of data.
A Northwestern University engineering team has designed a data visualization system to provide real-time insights into the Bank of America Chicago Marathon. The system uses historical and real-time data to forecast participant concentrations, helping officials plan accordingly.
The University of Oklahoma has received a $1 million grant to develop a digital Latin library, providing resources for users of varying expertise levels. The project aims to create a Linked Open Data resource for Latin texts, allowing users to find, read, and study texts with advanced tools and visualization environments.
Three college students developed ComFlo, an interactive website that visualizes domestic transport of commodities in the US. The tool helps identify pathways for invasive species and informs resource allocation for prevention.
The new tool, MAGI, enables users to search, visualize, and annotate large public cancer genetics datasets, including data from The Cancer Genome Atlas project. Users can also upload their own data and compare findings to those in the larger databases.
The Mid-Atlantic Ocean Data Portal has launched new features to expand pathways for participation and collaboration. The platform now includes Ocean Stories, Map Groups, and enhanced organization tools, empowering stakeholders to share their perspectives and work together on ocean planning challenges.
NYU researchers have received a MacArthur Foundation grant to develop cutting-edge visualization tools for human rights advocates. The team, led by Enrico Bertini, Oded Nov, and Margaret Satterthwaite, aims to help organizations effectively display complex data on human rights violations, conflict-related deaths, and economic injustices.
The Earlham Institute has received a £150,000 grant from TGAC to develop two open-source software tools: Façade for visual exploration of genomic data and OmiX Navigator for multi-functional data integration. These tools aim to facilitate access to genomics data analysis and improve systems biology research.
A new research paper demonstrates how XML markup can address challenges presented by unstructured legacy data, extracting primary biodiversity data from such sources. The project visualizes these data as standard charts to reveal key information about species and their habitats.
The five-year research project will train underrepresented minority students in STEM fields to address a critical shortfall in the workforce essential for future NASA missions. The project will include undergraduate training, research, and doctoral studies, aiming to develop new approaches to visualize and analyze massive data sets.