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.
Artificial intelligence (AI) has the potential to detect rheumatic heart disease (RHD) with the same accuracy as a cardiologist, according to new research demonstrating how sophisticated deep learning technology can be applied to this disease of inequity. The work could prevent hundreds of thousands of unnecessary deaths around the world annually.
The research team led by Chang-hyun Kim, head of the Department of AI Machinery of the Korea Institute of Machinery and Materials(KIMM) has succeeded in developing an AI technology for robot work that can be easily applied to manufacturing processes.
AI language models are booming. The current frontrunner is ChatGPT, which can do everything from taking a bar exam, to creating an HR policy, to writing a movie script.
Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs.
Using artificial intelligence to scan surgery patients’ medical records for signs of risky drinking might help spot those whose alcohol use raises their risk of problems during and after an operation, a new study suggests.
In an article just published in Physica A, researchers from Bar-Ilan University in Israel show how shallow learning mechanisms can compete with deep learning.
A new, potentially revolutionary artificial intelligence framework called “Blackout Diffusion” generates images from a completely empty picture, meaning that the machine-learning algorithm, unlike other generative diffusion models, does not require initiating a “random seed” to get started.
A Johns Hopkins Children’s Center study of children and youth with diabetes concludes that so-called autonomous artificial intelligence (AI) diabetic eye exams significantly increase completion rates of screenings designed to prevent potentially blinding diabetes eye diseases (DED).
Columbia engineers have built a new AI that shatters a long-held belief in forensics–that fingerprints from different fingers of the same person are unique. It turns out they are similar, only we’ve been comparing fingerprints the wrong way!
In an AI-based exploration of 160 billion organic molecules, Argonne National Laboratory scientists identified about 40 liquid hydrogen carriers that could one day fuel cars, trucks, buses, trains and ships and generate energy for consumers.
RUDN University professor and colleagues from Italy, Canada, and Turkey built a deep neural network that predicts the strength of composite materials after processing with almost 100% accuracy.
RUDN University mathematicians compared two popular machine learning models for predicting network traffic. The authors named in which situations the models perform better. This is important for optimizing 5G and 6G networks, which must adapt to changes in traffic and user demands.
A team University of Washington researchers have published a guide explaining language models, the technology that underlies chatbots.
The convergence of artificial intelligence, cloud, and high-performance computing to accelerate scientific discovery is the focus of a multi-year collaboration between Microsoft and PNNL.
Join Dr. Joseph D. Romano, an expert in informatics, as he discusses how artificial intelligence can translate environmental health data into actionable insights for healthcare.
In an effort to make the internet more accessible for people with disabilities, researchers at The Ohio State University have begun developing an artificial intelligence agent that could complete complex tasks on any website using simple language commands.
Thanks to funding from the National Cancer Institute, Kimberly Kaphingst, director of cancer communication research, and her team are exploring a new way to teach people about genetic testing options.
An artificial intelligence-based program efficiently and accurately identified patients’ risky alcohol use by analyzing their health records, according to a study published in Alcohol: Clinical and Experimental Research.
يشير بحث جديد من مايو كلينك أن الذكاء الاصطناعي (AI) يمكن أن يحسن تشخيص اعْتِلاَل عَضَلَة القَلْب في الفَتْرَةِ المُحيطَةِ بالوِلاَدَة، وهي حالة يمكن أن تهدد الحياة ويمكن علاجها حيث تضعف عضلة القلب لدى النساء أثناء الحمل أو في الأشهر التي تلي الولادة.
Uma nova pesquisa da Mayo Clinic sugere que a inteligência artificial (IA) pode melhorar o diagnóstico de cardiomiopatia periparto, uma doença potencialmente fatal e tratável que enfraquece o músculo cardíaco das mulheres durante a gravidez ou nos meses após o parto.
Una nueva investigación de Mayo Clinic sugiere que la inteligencia artificial (IA) podría mejorar el diagnóstico de la miocardiopatía del periparto, una afección tratable y potencialmente mortal que debilita el músculo cardíaco durante el embarazo o en los meses posteriores al parto.
Assessing how seriously injured a person is, involves weighing up lots of different parameters fast.
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