A machine learning model can effectively predict a patient’s risk for a sleep disorder using demographic and lifestyle data, physical exam results and laboratory values, according to a new study published this week in the open-access journal PLOS ONE.
New technologies that can capture subtle changes in a patient’s voice may help physicians diagnose cognitive impairment and Alzheimer’s disease before symptoms begin to show, according to a UT Southwestern Medical Center researcher who led a study published in the Alzheimer’s Association publication Diagnosis, Assessment & Disease Monitoring.
New smart-drug treatment options for pancreatic cancer, immuno-oncology treatments and real-time immune-monitoring strategies are among the research topics to be presented by investigators at The Ohio State University Comprehensive Cancer Center – Arthur G. James Cancer Hospital and Richard J. Solove Research Institute (OSUCCC – James) at the American Association for Cancer Research (AACR) annual meeting held April 14-19 at the Orange County Convention Center in Orlando, Florida.
In 1918, the American chemist Irving Langmuir published a paper examining the behavior of gas molecules sticking to a solid surface.
In Switzerland, one in three employees suffers from workplace stress. Those affected often don’t realise that their physical and mental resources are dwindling until it’s too late. This makes it all the more important to identify work-related stress as early as possible where it arises: in the workplace.
As more consumers turn to the newly available ChatGPT for health advice, researchers are eager to see whether the information provided by the artificial intelligence chatbot is reliable and accurate.
The Journal of Chemical Physics is pleased to announce Bingqing Cheng and Katrin Erath-Dulitz as the 2022 winners of the JCP Best Paper by an Emerging Investigator Awards. Cheng was selected for research that exploits machine learning to understand and predict material properties and Erath-Dulitz was recognized for developing a method that controllably prepares chemical reactions to explore their quantum nature. Each winner will receive a $2,000 honorarium and is invited to write a perspective article for JCP.
The Department of Energy’s Oak Ridge National Laboratory has named Prasanna Balaprakash to direct its artificial intelligence efforts.
To better understand which factor has the greatest impact on the concentration of dissolved oxygen, researchers at Penn State used a deep learning model to analyze data from hundreds of rivers across the United States.
Researchers at the University of São Paulo (USP) in Brazil are using artificial intelligence (AI) and Twitter, one of the world’s largest social media platforms, to try to create anxiety and depression prediction models that could in future provide signs of these disorders before clinical diagnosis.
The Quantum Systems Accelerator has issued an impact report that details progress made since the center launched in 2020. Highlights include a record-setting quantum sensor that could be used to hunt dark matter, a machine learning algorithm to correct qubit errors in real time, and the first observation of several exotic states of matter using a 256-atom quantum device.
People with autism spectrum disorder can be classified into four distinct subtypes based on their brain activity and behavior, according to a study from Weill Cornell Medicine investigators.
Breast cancer is the most common cancer to affect women worldwide. According to the American Cancer Society, about 1 in 8 women in the United States will develop breast cancer in their lifetime. While it is not possible to entirely prevent breast cancer, various medical organizations advise regular screening to detect and treat cases at the early stage.
Imagine if you could ask a machine to “smell” something for you with just a click of a button. That’s what electronic noses, or e-noses, are for. They are systems that combine chemical gas sensors, signal processing and machine learning algorithms to mimic the sense of smell.
Human responses to moral dilemmas can be influenced by statements written by the artificial intelligence chatbot ChatGPT, according to a study published in Scientific Reports. The findings indicate that users may underestimate the extent to which their own moral judgements can be influenced by the chatbot.
Currently, 12.5% of U.S. adults smoke cigarettes. At the same time, more than one-third of U.S. adults seek health information online, making social media a potentially powerful platform for anti-tobacco campaigns. However, limited research has been done on effective social media strategies for anti-smoking campaigns.
A new machine learning model that estimates optimal treatment timing for sepsis could pave the way for support tools that help physicians personalize treatment decisions at the patient bedside, researchers say.
A June 13-14 gathering of scientific and regulatory experts at the National Press Club
Cornell University researchers have developed a silent-speech recognition interface that uses acoustic-sensing and artificial intelligence to continuously recognize up to 31 unvocalized commands, based on lip and mouth movements.
Researchers were able to analyze 53 million patient notes from more than 1.5 million individual patients to identify similarities in their medical histories that can help pinpoint potential risks for developing future diseases and the trajectory of those conditions. This method of identifying phenotypic similarities exceeds the capacity any other current computational models.
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