A Princeton-led team composed of engineers, physicists, and data scientists from the University and the Princeton Plasma Physics Laboratory (PPPL) have harnessed the power of artificial intelligence to predict — and then avoid — the formation of a specific plasma problem in real time.
A recent study led by Assistant Professor Lindsay Jibb of the Lawrence Bloomberg Faculty of Nursing and Scientist at The Hospital for Sick Children (SickKids) found that parents of young children with cancer, along with pediatric cancer clinicians are in favour of an app-based solution that Jibb and her team are creating, to help parents manage their child’s cancer pain at home.
By integrating an ensemble of privacy-preserving algorithms, a KAUST research team has developed a machine-learning approach that addresses a significant challenge in medical research: How to use the power of artificial intelligence (AI) to accelerate discovery from genomic data while protecting the privacy of individuals
The Amazon rainforest could approach a tipping point, which could lead to a large-scale collapse with serious implications for the global climate system.
Ischemic stroke survivors who received care recommendations from an artificial intelligence (AI)-based system had fewer recurrent strokes, heart attacks or vascular death within three months, compared to people whose stroke treatment was not guided by AI tools, according to preliminary late-breaking science presented today at the American Stroke Association’s International Stroke Conference 2024.
In patients with major depression disorder it is, thanks to use of artificial intelligence, now possible to predict within a week whether an antidepressant will work
The annual conference brought together hundreds of scientists interested in finding ways to harness big data to answer previously unsolvable questions.
Chulalongkorn University congratulates Assoc. Prof. Dr. Racchaneekorn Hongphanut, Department of Curriculum and Instruction, Faculty of Education, Chulalongkorn University, on winning the Best Woman Inventor Awards in iCAN 2023 for the project titled “Metaverse Historicovator for History Learning Media to Promote Self-Directed Learning in The Bani Era” at the 8th International Invention Innovation Competition in Canada, iCAN 2023.
Artificial intelligence (AI) already is making a difference in healthcare by helping medical professionals interpret tests, clarify diagnoses and identify the most effective treatment approaches to a range of diseases.
Mayo Clinic Platform_Accelerate is excited to announce its fourth cohort consisting of nine innovative health tech startups from around the globe. T
Australian researchers have designed an algorithm that can intercept a man-in-the-middle (MitM) cyberattack on an unmanned military robot and shut it down in seconds.
Many physician-scientists and other researchers from Sylvester Comprehensive Cancer Center will make oral or poster presentations and participate in panel discussions at the American Society of Radiation Oncology (ASTRO) 2023 annual meeting in San Diego, Oct. 1-4.
A team of leading clinicians, engineers, and neuroscientists has made a groundbreaking discovery in the field of treatment-resistant depression.
Treatment planning for lung cancer can often be complex due to variations in assessing immune biomarkers. In a new study, Yale Cancer Center researchers at Yale School of Medicine used artificial intelligence (AI) tools and digital pathology to improve the accuracy of this process.
Artificial intelligence could help determine the verdicts of future court cases involving musical copyright, according to West Virginia University College of Law researchers.
AI can predict certain forms of esophageal and stomach cancer Michigan Medicine study says.
Jason Yip, a UW associate professor in the Information School, discusses how parents and schools can adapt to new technologies in ways that support children’s learning.
EMSL user Pernilla Wittung-Stafshede discusses how artificial intelligence is helping her understand the process of protein folding within cells.
A growing body of evidence suggests extra virgin olive oil can help prevent cognitive decline due to Alzheimer’s disease. In a new study, Yale School of Medicine researchers led by Natalie Neumann, MD, trained a machine learning algorithm on current…
Digital Science is pleased to announce a limited and exclusive beta launch of Dimensions AI Assistant, a new research tool designed to enhance how users engage with the wealth of knowledge available on Dimensions, among the world’s largest linked research databases.
Constant Therapy Health, a next generation digital health company, today announced that the organization is empowering Boston University Center for Brain Recovery and The University of Texas at Austin neuroscientists, data engineers and computational scientists with the AI-driven, real-world data needed to bring precision medicine to post-stroke speech, language and cognitive rehabilitation.
In an editorial, JBC says they’ll allow generative AI use in manuscript preparation but not during the review process.
The University of Texas MD Anderson Cancer Center’s Research Highlights showcases the latest breakthroughs in cancer care, research and prevention. These advances are made possible through seamless collaboration between MD Anderson’s world-leading clinicians and scientists, bringing discoveries from the lab to the clinic and back.
Researchers at the University of Washington created a new audio chatbot, Self-Talk with Superhero Zip, aimed to help children speak positively to themselves. This chatbot is “a ‘Sesame Street’ experience for a smart speaker.”
Data scientists at the Icahn School of Medicine at Mount Sinai in New York and colleagues have created an artificial intelligence model that may more accurately predict which existing medicines, not currently classified as harmful, may in fact lead to congenital disabilities. The model, or “knowledge graph,” described in the July 17 issue of the Nature journal Communications Medicine, also has the potential to predict the involvement of pre-clinical compounds that may harm the developing fetus. The study is the first known of its kind to use knowledge graphs to integrate various data types to investigate the causes of congenital disabilities.
It’s no secret that artificial intelligence technology is quickly evolving, with some apps claiming to be able to diagnose skin conditions and diseases. This week, TODAY highlighted how artificial technology is affecting health care. The American Academy of Dermatology supports…
Enforcement begins today for New York City’s new law requiring companies reveal the use of AI hiring tools, as well as conduct bias audits of the technology annually. Allison Koenecke, assistant professor of information science at Cornell University, studies fairness…
A child could draw a single banana on a plain background, but try asking an art-generating artificial intelligence (AI) to do it and the results might surprise you!
Mount Sinai Health System patients will experience greater access to care, fast identification of symptoms, efficient online search and connection to specialists, and easy appointment scheduling thanks to newly launched Digital Experience tools accessible on their smartphones or computers.
With the potential for artificial intelligence (AI) to create both massive disruption and great opportunity within the music industry, ASCAP is introducing a slate of AI initiatives to help music creators navigate the future while protecting their work.
Qihang Lin, associate professor of business analytics at the University of Iowa’s Tippie College of Business, studies artificial intelligence and discrimination with a National Science Foundation grant. Based on his research, he believes an independent third-party organization must be created…
Researchers have shown that an automated cancer diagnostic method, which pairs cutting-edge ultrasound techniques with artificial intelligence, can accurately diagnose thyroid cancer, of which there are more than 40,000 new cases every year.
Wilmer Eye Institute, Johns Hopkins Medicine researchers say they have used artificial intelligence models and machine-learning algorithms to successfully predict which components of amino acids that make up therapeutic proteins are most likely to safely deliver therapeutic drugs to animal eye cells.
Researchers have knitted together three large databases of information to help cybersecurity experts detect and prevent attacks.
Researchers who’ve studied the emergence of digital humans say “AI with a face” will become more prevalent within the decade. They wrote an article aimed at industry leaders to highlight four types of digital humans and offer guidance.
ROCKVILLE, MD – Approximately three million Americans suffer from opioid use disorder, and every year more than 80,000 Americans die from overdoses. Opioid drugs, such as heroin, fentanyl, oxycodone and morphine, activate opioid receptors. Activating mu-opioid receptors leads to pain relief and euphoria, but also physical dependence and decreased breathing, the latter leading to death in the case of drug overdose.
UPTON, NY—Scientists at the U.S. Department of Energy’s (DOE) Brookhaven National Laboratory have successfully demonstrated that autonomous methods can discover new materials. The artificial intelligence (AI)-driven technique led to the discovery of three new nanostructures, including a first-of-its-kind nanoscale “ladder.
Researchers have found that AI models could accurately predict self-reported race in several types of medical images, suggesting that race information could be unknowingly incorporated into image analysis models.
A study published today in the Journal of the American College of Cardiology (JACC): Cardiovascular Imaging shows that artificial intelligence tools can more rapidly, and objectively, determine calcium scores in computed tomographic (CT) and positron emission tomographic (PET) images than physicians, even when obtained from very-low-radiation CT attenuation scans.
In a first-of-its-kind randomized clinical trial led by researchers at the Smidt Heart Institute and the Division of Artificial Intelligence in Medicine at Cedars-Sinai, artificial intelligence (AI) proved more successful in assessing and diagnosing cardiac function when compared to echocardiogram assessments made by sonographers.
Black patients have a dramatically higher risk of advanced vision loss after a new diagnosis of primary open angle glaucoma (POAG) when compared to white patients, according to a new study from New York Eye and Ear Infirmary of Mount Sinai (NYEE).
Article title: Gut microbiota of wild fish as reporters of compromised aquatic environments sleuthed through machine learning Authors: John W. Turner Jr., Xi Cheng, Nilanjana Saferin, Ji-Youn Yeo, Tao Yang Bina Joe From the authors: “Overall, this study represents the…
Chula Engineering and Chula Medicine co-invent an innovative device for a rapid gastrointestinal cancer detection that yields accurate results hoping to foster preventive medicine in gastrointestinal malignancy and reduce the number of cancer patients.
An innovative mobile phone application was found to be as good as expert gastroenterologists at characterizing stool specimens, according to a study by Cedars-Sinai. The artificial intelligence (AI) used in the smartphone app also outperformed reports by patients describing their stool specimens.