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UrduA new virtual conference will explore how artificial intelligence (AI) can help health care providers and scientists efficiently analyze vast amounts of data and make more informed decisions, the Endocrine Society announced today.
Tag: Big Data
New Grants for Big Data Research to Improve Vision Care
The American Academy of Ophthalmology (AAO) and Research to Prevent Blindness (RPB) today announced the 2024 recipients of the RPB / AAO Award for IRIS Registry Research.
$4.9-Million NSF Award Funds Major Enhancement to Bridges-2 System
$4.9 million from the NSF has funded an upgrade to PSC’s flagship Bridges-2 supercomputer. The grant has allowed the center to add late-model powerful NVIDIA H100 GPUs to the system, further enhancing its ability to support research in and requiring artificial intelligence, particularly in the context of massive data and high-performance computing.
New Integrated Risk Analysis Framework Enhances Cybersecurity for SMEs
MARISMA is a risk analysis framework designed to improve cybersecurity for businesses by offering adaptive, real-time protection for digital assets against evolving threats.
Research to Prevent Blindness Opens Applications for Vision Research Grants
Research to Prevent Blindness is pleased to announce that it has opened a new round of grant funding for high-impact vision research, including research related to glaucoma, age-related macular degeneration, inherited retinal diseases, myopia, amblyopia, low vision and many more.
GlobusWorld 2024 Program Announced
This year’s program includes guest keynote addresses by Ben Brown, Director, Facilities Division, Advanced Scientific Computing Research at the U.S. Department of Energy, and Greg Gunther, Science Data Management Branch Chief, U.S. Geological Survey.
New AI Technique Significantly Boosts Medicare Fraud Detection
In Medicare insurance fraud detection, handling imbalanced big data and high dimensionality remains a significant challenge. Systematically testing two imbalanced big Medicare datasets, researchers demonstrate that intelligent data reduction techniques improve the classification of high imbalanced big Medicare data.
Birders & AI Push Bird Conservation to the Next Level
For the first time, big data and artificial intelligence (AI) are being used to model hidden patterns in nature, not just for one bird species, but for entire ecological communities across continents. And the models follow each species’ full annual life cycle, from breeding to fall migration to nonbreeding grounds, and back north again during spring migration.
Researchers Design Multiclass Cancer Diagnostic Tool Using AI, MicroRNA
MicroRNAs, or miRNAs, regulate genes and biological processes in the human body, including cancer formation and development. To explore the feasibility of miRNAs as cancer biomarkers, researchers created a multiclass cancer diagnostic model using miRNA expression profiles. The study examined the relationship between the composition of miRNAs and various types of cancers. Findings suggest that miRNAs may be highly unique to specific cancerous tissues and can be strong biomarkers for detection and classification in both research and the clinical field
Research to Prevent Blindness Announces New Sight-Saving Vision Research Grants
Research to Prevent Blindness (RPB) announces two new grants to support high-impact vision research. The new grants are the: RPB / Tom Wertheimer Career Development Award in Data Science and RPB / Mary Tyler Moore Vision Initiative Physician-Scientist Award.
Large-Scale Study Led by Fred Hutch Finds New Genetic Risk Factors for Colorectal Cancer, Paving the Way for Better Screening, Prevention
A comprehensive analysis of more than 100,000 colorectal cancer (CRC) cases, led by researchers at the Fred Hutchinson Cancer Center in Seattle and 200 scientific collaborators worldwide, has identified more than 100 new genetic risk factors strongly linked with the disease.
Big Data Analysis Powers the Fight Against Alzheimer’s
New research findings published in Science Advances (November 2022), help explain the progression of Alzheimer-related dementia in each patient. The findings outline a biological classification system that predicts disease severity.
Globus Welcomes New Subscribers
As the volume of data explodes, and gigabyte and terabyte data sets become the new norm, effective research data management tools become a necessity for today’s researchers. Globus, a non-profit service run by the University of Chicago, delivers a service and platform to do just that. Globus achieves sustainability via a hybrid free and subscription-based model whose primary goal is to maximize the value delivered to science, and provides positive returns to scale as a result of a growing subscriber base.
CHOP and Penn Launch Kidney Innovation Center to Accelerate Discovery and Improve Treatment of Kidney Disease Across the Lifespan
In an effort to improve the lives of children and adults with kidney disease, Children’s Hospital of Philadelphia (CHOP) and Penn Medicine are jointly launching the Penn-CHOP Kidney Innovation Center. The first-of-its-kind center will advance research to transform patient care for those of all ages, focusing on the early detection, prevention, and treatment of kidney disease and its complications.
Big data in the ER
Researchers at Osaka University use machine learning methods on a large dataset of trauma patients to determine the factors that correlate with survival, which may significantly improve triage and rapid treatment procedures.
Research to Prevent Blindness and the American Academy of Ophthalmology Award New Research Grants to Improve Eye Care
Award recipients to use the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) clinical database to improve care for all patients
How to Effectively Market Influencers “Kollective”: An Innovation that Responds to Business Needs by Chula’s Start-Up
Chula alumni team in cooperation with the CU Innovation Hub has come up with the idea of “Kollective” a new start-up that provides the tools and services for full-scale marketing of influencers. With the analysis using big data, the best influencers are chosen to increase sales volumes in your business.
Public release of ORNL global population distribution data aids humanitarian support
ORNL’s suite of LandScan population distribution models is available online to the global public for the first time ever under a new open-source creative commons license.
Story tips: Fueling up on savings, COVID’s behavior effect, cosmic collisions, seismic and sound, and space-to-ground comms
ORNL story tips: Fueling up on savings, COVID’s behavior effect, cosmic collisions, seismic and sound, and space-to-ground comms
PSC and Partners to Lead $7.5-Million Project to Allocate Access on NSF Supercomputers
The NSF has awarded $7.5 million over five years to the RAMPS project, a next-generation system for awarding computing time in the NSF’s network of supercomputers. RAMPS is led by the Pittsburgh Supercomputing Center and involves partner institutions in Colorado and Illinois.
St. Louis Comes Together to Announce the Taylor Geospatial Institute
The Taylor Geospatial Institute is a first-of-its-kind institution that brings together eight leading research institutions to collaborate on research into geospatial technology.
Story tips: Predicting water quality, stronger & ‘stretchier’ alloys, RAPID reinforcement and mountainous water towers
ORNL story tips: Predicting water quality, stronger & ‘stretchier’ alloys, RAPID reinforcement and mountainous water towers
Novel Model Predicts COVID-19 Outbreak Two Weeks Ahead of Time
People’s social behavior, reflected in their mobility data, is providing scientists with a way to forecast the spread of COVID-19 nationwide at the county level. Researchers have developed the first data-driven deep learning model with the potential to predict an outbreak in COVID-19 cases two weeks in advance. Feeding the mobility data to epidemiological forecasting models helps to estimate COVID-19 growth as well as evaluating the effects of government policies such as mandating masks on the spread of COVID-19.
Penn Medicine Launching Center for Applied Health Informatics
To better coordinate health data projects across the health system and cement its status as a leader in informatics, Penn Medicine is launching a new hub center
Chula Researchers Caution Against Online Gambling during COVID-19
According to Chula researchers the volume of online gambling has soared during the COVID-19 pandemic, posing a serious threat to minors, and the government should urgently tackle this problem.
Will the Next Generation of Exascale Supercomputers Be Able To Work With Complex Petascale Data?
George Slota, a computer scientist at Rensselaer Polytechnic Institute, has been granted a prestigious National Science Foundation Faculty Early Career Development (CAREER) award to develop approaches to matching exascale computers with petascale datasets.
CHOP Researchers Demonstrate How Dynamic Changes in Early Childhood Development May Lead to Changes in Autism Diagnosis
Researchers found that difficulties in diagnosing toddlers with autism spectrum disorder (ASD) might be due to the dynamic nature of the disorder during child development. Children with clinical characteristics that put them on the diagnostic border of autism have an increased susceptibility to gaining or losing that diagnosis at later ages.
NIH Awards UC San Diego $33 Million for Five COVID-19 Diagnostic Projects
UC San Diego was awarded five COVID-19 Rapid Acceleration of Diagnostics (RADx) projects by the National Institutes of Health totaling nearly $33 million, which will fund efforts that range from managing a large data center to expanding testing in disadvantaged communities.
Federal COVID-19 response taps UCI Health as a model for delivering monoclonal antibody therapy
Irvine, Calif., Feb. 9, 2021 — Monoclonal antibodies are showing promise for improving outcomes for COVID-19 patients, but when a hospital is already beyond capacity, administering them can be a challenge. As hospitalizations soared across California, clinicians with UCI Health created a system for delivering monoclonal antibodies that is keeping hospital beds available for patients with the greatest need.
ISU researchers use data to help communities discover and solve biggest problems
The Data Science for the Public Good program, an Iowa State University project to help Iowa towns harness their data, has led to four offshoot projects to help support community recovery related to economic vulnerability, substance use and general support.
UCI researchers create model to calculate COVID-19 health outcomes
Irvine, Calif., Dec. 17, 2020 —University of California, Irvine health sciences researchers have created a machine-learning model to predict the probability that a COVID-19 patient will need a ventilator or ICU care. The tool is free and available online for any healthcare organization to use. “The goal is to give an earlier alert to clinicians to identify patients who may be vulnerable at the onset,” said Daniel S.
NEW PROJECT OFFERS REAL-WORLD CASE STUDIES TO TEACH BIG DATA LESSONS TO HELP SOLVE PRESSING HEALTH ISSUES
Researchers at the Johns Hopkins Bloomberg School of Public Health have developed a series of case studies for urgent public health issues to help students and practitioners across the U.S. learn how to apply big-data analysis approaches in their work.
New research solves Parker Solar Probe’s solar switchbacks surprise
In newly published research, scientists have for the first time modeled the nature of solar switchbacks – the large and long-duration isolated velocity spikes in the solar wind that surprised researchers when data arrived from the Solar Wind Electrons Alphas and Protons (SWEAP) instruments aboard NASA’s Parker Solar Probe (PSP).
Expert: How geotagged content is used in research
In a commentary published in the journal Nature Human Behavior, researchers discuss how Twitter’s decision to remove users’ ability to tag precise locations of Tweets might affect research in disaster response, public health and other areas.
Globus Moves 1 Exabyte
Globus, a leading research data management service, reached a huge milestone by breaking the exabyte barrier. While it took over 2,000 days for the service to transfer the first 200 petabytes (PB) of data, the last 200PB were moved in just 247 days. This rapidly accelerating growth is reflected by the more than 150,000 registered users who have now transferred over 120 billion files using Globus.
The next big thing: the use of graph neural networks to discover particles
Fermilab scientists have implemented a cloud-based machine learning framework to handle data from the CMS experiment at the Large Hadron Collider. Now they can begin to use graph neural networks to boost their pattern recognition abilities in the search for new particles.
Study of ‘shrink-smart’ towns expanding to include curriculum, big data
Iowa State’s rural smart shrinkage project has received a three-year, $1.5 million grant from the National Science Foundation to build upon its pilot study examining whether there were towns in Iowa that have lost population but perception of quality of life has remained stable or improved.
Cell Phone Location Used to Estimate COVID-19 Growth Rates
Data shows that coronavirus infection rates were lower in counties where cell phone activity declined at workplaces and increased at home
How Technological, Socioeconomic and Geopolitical Forces are Altering Everything We Know about Marketing
A new study examines technological, socioeconomic and geopolitical forces altering the marketing industry — including deepening consumer relationships — and the implications for marketing managers, educators and researchers.
As hospitals walk the tightrope of patient data-sharing, one system offers a new balance
Every major medical center in America sits on a gold mine of patient data that could be worth millions of dollars to companies that could use it to develop new treatments and technologies. A new framework could help them do so more responsibly, going beyond the minimum legal requirements and respecting patients by giving them more say in how their individual data may be used.
Minimum wage increases a mixed bag, but ‘not a good idea’ amid crisis
Researchers who have parsed minimum-wage increases over the past half-decade find a mixed bag of immediate results in states that push wages higher, but the pandemic-roiled economy changes all that, they say.
ISPOR Holds Its First Completely Virtual Conference
ISPOR concluded its Virtual ISPOR 2020 conference yesterday—its first completely virtual conference. The conference was redesigned as an online event when the COVID-19 pandemic required a necessary cancellation of the in-person conference.
Using Big Data to Design Gas Separation Membranes
Researchers at Columbia Engineering and the University of South Carolina have developed a method that combines big data and machine learning to selectively design gas-filtering polymer membranes to reduce greenhouse gas emissions. Their study, published today in Science Advances, is the first to apply an experimentally validated machine learning method to rapidly design and develop advanced gas separation membranes.
DUNE prepares for data onslaught
The Deep Underground Neutrino Experiment will collect massive amounts of data from star-born and terrestrial neutrinos. A worldwide network of computers will provide the infrastructure to help analyze it. Using artificial intelligence and machine learning, scientists write software to mine the data.
Major upgrades of particle detectors and electronics prepare CERN experiment to stream a data tsunami
For an experiment that will generate big data at unprecedented rates, physicists led design, development, mass production and delivery of an upgrade of novel particle detectors and state-of-the art electronics.
Virtual ISPOR 2020 Program and Speakers Announced
ISPOR—The Professional Society for Health Economics and Outcomes Research (HEOR) announced today the program and speakers for Virtual ISPOR 2020.
Surveillance for health: Safeguards needed as CDC turns to personal data
As part of the nation’s record $2 trillion relief bill, Congress has set aside $500 million for the CDC to develop a “public health surveillance and data collection system” meant to track the spread of coronavirus. While it’s not clear…
Researchers work on early warning system for COVID-19
To better understand early signs of coronavirus and the virus’ spread, physicians around the country and data scientists at UC San Diego are working together to use a wearable device to monitor more than 12,000 people, including thousands of healthcare workers. The effort has started at hospitals in the San Francisco Bay Area and at the University of West Virginia.
Staying Two Steps Ahead of the Coronavirus
A method of predicting the coronavirus spread – pioneered and developed by Weizmann Institute scientists – may enable authorities to focus efforts on areas where an outbreak is anticipated and relieve measures taken in others. Several countries, including the U.S., are adopting the new method
Cardiologists: Big Data Advances Research, But Shouldn’t Do So at the Cost of Privacy
Your doctor protects your sensitive health data. But in a new publication, experts assert it’s important to check if that app you just downloaded will, too.