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Argonne Scientists Receive Several R&D 100 Awards for Innovative Technologies
Innovative technologies developed by researchers at the U.S. Department of Energy's (DOE) Argonne National Laboratory recently earned multiple R&D 100 Awards.
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AIDS Vaccine Design: New Data Offers Important Insight
New data published in Immunity further illuminate how some human beings generate powerful, HIV-blocking antibodies. The results offer important insight into a potential AIDS vaccine design.
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Blockchain & AI for Biomedical Applications
Biogerontology Research Foundation Chief Science Officer (CSO) co-authored the landmark paper in the journal Oncotarget on the convergence of blockchain and AI to decentralize and galvanize healthcare and biomedical research.
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New Target for ‘Triple-negative’ Breast Cancer Discovered
University of Virginia researchers are working to study this variability and find an end-around method to stop triple-negative breast cancer, by seeking out unknown or little-understood routes toward shutting down uncoordinated growth.
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DDN Provides University of Tennessee’s SimCenter with Big Data Storage to Support Machine Learning and Data Analytics
DataDirect Networks (DDN®) today announced that The University of Tennessee, Chattanooga (UTC) has selected DDN’s GS14KX® parallel file system appliance with 1.1PB of storage to replace its aging big data storage system and to support a diversifying range of data-intensive research projects.
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Closer Look at Immune Proteins Provides Insight into Potential Pathogen Protection Strategies
Biologists have resolved the structure of a ring of proteins used by the immune system to summon support when under attack, providing new insight into potential strategies for protection from pathogens.
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Computer Program Helps Find Ways to Repurpose Existing Drugs
Researchers have developed a computer program to find new indications for old drugs. The computer program, called DrugPredict, matches existing data about FDA-approved drugs to diseases, and predicts potential drug efficacy.
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Big Data From Social Media Helps Combat Prescription Drug Crisis
Researchers have conducted a critical review of existing literature to determine whether social media big data can be used to understand communication and behavioral patterns related to prescription drug abuse.
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Machine Learning: Helping Determine How a Drug Affects the Brain
Machine learning could improve our ability to determine whether a new drug works in the brain, potentially enabling researchers to detect drug effects that would be missed entirely by conventional statistical tests, finds a new UCL study published today in Brain.
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Revealing How Dietary Fat Affects Stem Cell Differentiation
A recent study suggests a general mechanism by which dietary fats affect cellular physiology through remodeling of membrane lipidomes, biophysical properties and signaling.
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