University of Virginia scientists have developed a new approach to machine learning – a form of artificial intelligence – to identify drugs that help minimize harmful scarring after a heart attack or other injuries.
Ten projects aimed at advancing next-generation science and technology have been awarded funding by Jefferson Lab for fiscal year 2024.
Issues shaping the health care sector take center stage at the 2024 “Business of Health Care Conference,” taking place at the University of Miami on Feb. 16.
Cleveland Clinic Survey: Most Americans Using Health Monitoring Technology are Experiencing Significant Physical and Mental Benefits
A roundup of the latest medical discoveries and faculty news at Cedars-Sinai for January 2024.
Argonne researchers address challenges scientists face in developing lifelong learning models for autonomous devices, such as self-driving cars, and recommends design principles going forward.
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.
Fueled by increasing temperatures and droughts, severe wildfires are on the rise around the world — as are the smoke-borne contaminants that harm the environment and human health. In 2023, Canada recorded its worst wildfire season ever, with fires releasing more than 290 million tons of carbon into the atmosphere. California also experienced record-setting fire seasons in 2020 and 2021.
Researchers develop the first AI-powered job mapping tool to track the creation of AI jobs.
There’s always some truth in fiction, and now is about the time to get a step ahead of sci-fi dystopias and determine what the risk in machine sentience can be for humans.
The Georgia Tech Integrated Cancer Research Center has combined machine learning with information on blood metabolites to develop a new early diagnostic test that detects ovarian cancer with 93 percent accuracy.
Dr. Jun Woo Choi of the Center for Spintroncs Research at the Korea Institute of Science and Technology (KIST) have announced the results of a collaborative study showing that ultra-low-power memory can be fabricated from quantum materials.
Renowned urologists from leading academic centers shared their insights and clinical recommendations at Urology on the Beach, a three-day professional conference hosted by the Desai Sethi Urology Institute (DSUI) at the University of Miami Miller School of Medicine.
In a pioneering effort to help provide faster, more equitable life-saving emergency services in areas with high traffic congestion, researchers at NYU Tandon School of Engineering’s transportation center, C2SMARTER, are leveraging AI technology to analyze and improve emergency vehicle travel times in partnership with the New York City Fire Department (FDNY).
A newly developed neural network is highly accurate in identifying key landmarks important in breast surgery – opening the potential for objective assessment of breast symmetry, suggests a study in the February issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).
Artificial intelligence (AI) shows promise as a valuable support tool for delivery of mental health services, educational guidance and career counseling.
Chemists of the University of Amsterdam (UvA) have developed an autonomous chemical synthesis robot with an integrated AI-driven machine learning unit.
People who were more skeptical of human-caused climate change or the Black Lives Matter movement who took part in conversation with a popular AI chatbot were disappointed with the experience but left the conversation more supportive of the scientific consensus on climate change or BLM.
The University of Texas MD Anderson Cancer Center’s Research Highlights showcases the latest breakthroughs in cancer care, research and prevention.
A West Virginia University engineer is creating powerful, unconventional artificial intelligence tools that can reimagine the sustainability of chemical manufacturing.
Background: The widespread use of electronic health records in the clinical and biomedical fields makes the removal of protected health information (PHI) essential to maintain privacy. However, a significant portion of information is...
JMIR Publications is pleased to announce a new theme issue titled “Machine Learning-Based Predictive Models Using Genomic Data” in JMIR Bioinformatics and Biotechnology.
PSC’s Neocortex AI system is among six national AI supercomputers participating in a pilot program to support novel and transformative AI research and education at a national scale.
Rutgers Health researcher develops software that can analyze multigenomic and clinical data to discover biomarkers and predict diseases in individuals.
Human pathologists are extensively trained to detect when tissue samples from one patient mistakenly end up on another patient’s microscope slides (a problem known as tissue contamination).
Researchers from Cleveland Clinic and IBM have published a strategy for identifying new targets for immunotherapy through artificial intelligence (AI).
The Desai Sethi Institute of Urology (DSUI) at the University of Miami Miller School of Medicine unveiled the findings of its inaugural State of Urology survey and report today, which provides insights into the current landscape of urology and outlines implications for the future direction of the specialty.
Nonfunctional pancreatic neuroendocrine tumors, while rare, are primarily treated through surgery. The presence or absence of lymph node metastasis considerably influences the selection of surgical and other treatment approaches.
A new study led by researchers at the George Washington University predicts that daily, bad-actor AI activity is going to escalate by mid-2024.
IntelliGenes analyzes genomic data to discover biomarkers associated with health traits.
Researchers with UC San Diego School of Medicine found that utilizing a unique AI algorithm to monitor several patient variables detected sepsis quicker.
The Korea Institute of Science and Technology (KIST) announced that a team led by Hong Seok-won, head of the Water Resources and Cycle Research Center, and Son Moon, a senior researcher, has developed a technology to classify emerging trace substances according to their physicochemical properties and predict their concentrations using clustering and prediction-based artificial intelligence technology.
We are tasking our computers with processing ever-increasing amounts of data to speed up drug discovery, improve weather and climate predictions, train artificial intelligence, and much more.
Cedars-Sinai Cancer investigators have used a unique precision medicine and artificial intelligence (AI) tool called the Molecular Twin Precision Oncology Platform to identify biomarkers that outperform the standard test for predicting pancreatic cancer survival.
A team led by Dr. Joon Young Kwak of the Center for Neuromorphic Engineering at the Korea Institute of Science and Technology (KIST) announced that they have implemented an integrated element technology for artificial neuromorphic devices that can connect neurons and synapses like "Lego blocks" to construct large-scale artificial neural network hardware.
Find the latest research and features on emergency medicine in the Emergency Medicine channel on Newswise.
Justin Fraser, M.D., and his University of Kentucky colleagues have a phrase they frequently use to convey the urgency of their care: “Time is brain.”
Recent advances in generative AI help to explain how memories enable us to learn about the world, re-live old experiences and construct totally new experiences for imagination and planning, according to a new study by UCL researchers.
Dr. Lee Jongwon of the Intelligent Robotics Research Center at the Korea Institute of Science and Technology(KIST) has developed a wearable robot, MOONWALK-Omni, which means 'to actively support leg strength in any direction(omnidirection) to help walk like walking on the moon', has announced that a senior citizen wearing it successfully completed a wearable robot challenge to climb to the top of Mount Yeongbong (604 meters above sea level) in Korea.
A civil engineer at the University of Pittsburgh is applying his expertise in bridges and infrastructure to develop new materials that better treat spinal injury, repair, and recovery.
10 postdoctoral researchers at the U.S. Department of Energy’s (DOE) Argonne National Laboratory were recently recognized at the laboratory’s 2023 Postdoctoral Performance Awards, which were presented in a ceremony on Nov. 9.
Cancer resists treatment in a multitude of ways, but a new algorithm developed by scientists at UC San Diego can decode them all simultaneously.
The research team led by Dr. Youn Min Hye, from the Carbon Conversion Research Lab at the Korea Institute of Energy Research (KIER) has developed a smart lab.
Gone are the days when the tell-tale signs of a ‘phishing’ scam were fairly easy to spot, SMU cybersecurity experts warn: Hackers are increasingly using generative AI (artificial intelligence) to write more convincing emails and bogus advertisements.
Scholars from RUDN University, Anna Ermolayeva, Sergey Matyushenko, and Dmitry Kochetkov, together with Alexander Biryukov from Springer Nature, compiled a ranking of CS conferences based on the normalized citation rates of papers in Artificial Intelligence.
A team of researchers from UCLA and UC Irvine have created a unique repository of electronic health record data and high-fidelity physiological waveform data from tens of thousands of surgeries that will integrate artificial intelligence to improve patient outcomes.
One of the Smidt Heart Institute’s leading experts in artificial intelligence, David Ouyang, MD, has been named a deputy editor of NEJM AI—a newly established, peer-reviewed journal from the publishers of the highly respected, New England Journal of Medicine.
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