Binghamton University and six HBCUs forge New Educational and Research Alliance

In collaboration with the Thurgood Marshall College Fund, Binghamton University, State University of New York has announced a New Educational and Research Alliance (New ERA) with six historically Black colleges and universities (HBCUs): Alabama A&M University, Central State University, Tuskegee University, Prairie-View A&M University, the University of the District of Columbia and Virginia State University.

Digital Science boosts pharma industry support following OntoChem acquisition

Digital Science is positioning itself to play an even greater role in the pharmaceutical industry’s all-important drug discovery, by helping industry sift through a sea of information and focus on the research that matters.

ChatGPT flunks self-assessment test for urologists

At a time of growing interest in the potential role of artificial intelligence (AI) technology in medicine and healthcare, a new study finds that the groundbreaking ChatGPT chatbot performs poorly on a major specialty self-assessment tool, reports Urology Practice®, an Official Journal of the American Urological Association (AUA). The journal is published in the Lippincott portfolio by Wolters Kluwer.

Meeting Preview: Hot Topics at NUTRITION 2023

Reporters and bloggers are invited to join top nutrition experts for a dynamic program at NUTRITION 2023. The annual flagship meeting of the American Society for Nutrition runs July 22-25 at the Sheraton Boston and features research announcements, expert discussions, and more.

New superconducting diode could improve performance of quantum computers and artificial intelligence

A University of Minnesota Twin Cities-led team has developed a more energy-efficient, tunable superconducting diode—a promising component for future electronic devices—that could help scale up quantum computers for industry and improve artificial intelligence systems.

Mount Sinai Researchers Use New Deep Learning Approach to Enable Analysis of Electrocardiograms as Language

Mount Sinai researchers have developed an innovative artificial intelligence (AI) model for electrocardiogram (ECG) analysis that allows for the interpretation of ECGs as language. This approach can enhance the accuracy and effectiveness of ECG-related diagnoses, especially for cardiac conditions where limited data is available on which to train. In a study published in the June 6 online issue of npj Digital Medicine DOI: 10.1038/s41746-023-00840-9, the team reported that its new deep learning model, known as HeartBEiT, forms a foundation upon which specialized diagnostic models can be created. The team noted that in comparison tests, models created using HeartBEiT surpassed established methods for ECG analysis.

AI makes it harder to spot deep fakes than ever before, but awareness is key, says expert

As artificial intelligence programs continue to develop and access is easier than ever, it’s making it harder to separate fact from fiction. Just this week, an AI-generated image of an explosion near the Pentagon made headlines online and even slightly impacted the stock market until it was quickly deemed a hoax.

Computational biology superstar Sanju Sinha joins Sanford Burnham Prebys

Sanju Sinha, Ph.D., has joined Sanford Burnham Prebys as an assistant professor in the Cancer Molecular Therapeutics Program to continue his research on cancer development and drug discovery. He comes to Sanford Burnham Prebys from the Cancer Data Science Lab at the National Cancer Institute (NCI), where he trained to leverage the power of artificial intelligence to discover new drugs to prevent cancer.

Rensselaer Researcher Uses Artificial Intelligence To Discover New Materials for Advanced Computing

A team of researchers led by Rensselaer Polytechnic Institute’s Trevor David Rhone, assistant professor in the Department of Physics, Applied Physics, and Astronomy, has identified novel van der Waals (vdW) magnets using cutting-edge tools in artificial intelligence (AI). In particular, the team identified transition metal halide vdW materials with large magnetic moments that are predicted to be chemically stable using semi-supervised learning.

Hey Siri, Can You Hear Me? #ASA184

At the 184th ASA Meeting, Georgia Zellou and Michelle Cohn of the University of California, Davis will describe experiments to investigate how speech and comprehension change when humans communicate with AI. They examined how people adjust their voice when communicating with an AI system compared to talking with another human and, on the listening side, how what a device sounds like impacts how well listeners will understand it.

AI in Medical Imaging Could Magnify Health Inequities, Study Finds

Analyzing crowd-sourced sets of data used to create AI algorithms from medical images, University of Maryland School of Medicine researchers found that most did not include patient demographics and none evaluated for inherent biases. That means they have no way of knowing whether these images contain representative samples of the population such as Blacks, Asians, and Indigenous Americans.

Acoustical Society of America Press Conferences Livestreamed from Chicago, May 9 #ASA184

The 184th ASA Meeting will include three press conferences on Tuesday, May 9. The in-person presentations will also be livestreamed and recorded. Topics will focus on a wide range of newsworthy sessions, including 3D-printing head simulators, tracking immune cells with ultrasound, investigating the impact of skin color on breast cancer diagnosis, mimicking insects to create miniature microphones, and locating leaks in water networks. Reporters can register for in-person or virtual attendance.

University of Minnesota to lead $2 million federal grant to study human-centered AI for news recommender systems

The University of Minnesota Twin Cities is one of five institutions leading National Science Foundation-funded projects to support artificial intelligence research infrastructure that will help scientists better understand and study AI for applications like news recommendation systems.

Research to Prevent Blindness Announces New Sight-Saving Vision Research Grants

Research to Prevent Blindness (RPB) announces two new grants to support high-impact vision research. The new grants are the: RPB / Tom Wertheimer Career Development Award in Data Science and RPB / Mary Tyler Moore Vision Initiative Physician-Scientist Award.

Environmental impact of AI and its sustainability

Artificial intelligence’s rapid growth has led to advancements like autonomous vehicles, virtual reality, and ChatGPT. But AI technologies and the training of AI models require a lot of energy, increasing concerns about the environmental impact of AI and its sustainability. To put AI’s energy usage into perspective: it took nine days to train one of OpenAI’s early model chatbots known as MegatronLM.

Acoustical Society of America Invites Media to Chicago Meeting, May 8-12

ASA will hold its 184th meeting May 8-12 in Chicago, offering in-person and hybrid sessions throughout the week. The scientific conference brings together acousticians, researchers, musicians, and more from around the world, who will describe their work on topics that include measuring the calls of Puerto Rican coqui frogs, communicating with artificial intelligence, capturing the sounds of the stratosphere, simulating sounds on other planets, and ensuring linguistic justice by considering the unique aspects of African American English. Conference highlights can be found on social media by searching the #ASA184 hashtag and reporters are invited to attend in-person and hybrid sessions at no cost.

MD Anderson Research Highlights for March 29, 2023

The University of Texas MD Anderson Cancer Center’s Research Highlights showcases the latest breakthroughs in cancer care, research and prevention.

ORNL malware ‘vaccine’ generator licensed for Evasive.ai platform

A technology developed at Oak Ridge National Laboratory and used by the U.S. Naval Information Warfare Systems Command to test the capabilities of commercial security tools has been licensed to cybersecurity firm Penguin Mustache to create its Evasive.ai platform.

Artificial intelligence predicts genetics of cancerous brain tumors in under 90 seconds

Using artificial intelligence, researchers have discovered how to screen for genetic mutations in cancerous brain tumors in under 90 seconds — and possibly streamline the diagnosis and treatment of gliomas, a study suggests. The newly developed system, DeepGlioma, identified mutations used by the World Health Organization to define molecular subgroups of diffuse glioma with an average accuracy over 90%.

AI-based systems can help identify rapidly advancing age-related macular degeneration

Researchers supported by the National Eye Institute are developing artificial intelligence/machine learning (AI/ML)-based systems that not only screen for AMD but also predict which patients will likely progress to late within two years. The systems also evaluate separately one’s risk for developing late wet (neovascular) AMD from one’s risk for late dry (geographic atrophy) AMD.

Chula’s AICute Innovation – An Assessment Tool for Ischemic Stroke Risk to Reduce Disability and Death

A research team from the Faculty of Medicine and Faculty of Engineering, Chulalongkorn University has jointly developed AICute, an innovative program to assess the chances of stroke caused by heart disease (Ischemic Stroke), aimed at helping hospitals that lack cardiologists to enhance the effectiveness of stroke treatment, reduce congestion in hospitals and medical schools.

JMIR Medical Education Launches Special Issue on the Use of ChatGPT in Medical Education, After New Study Finds ChatGPT Passes the United States Medical Licensing Examination

A study published on February 8, 2023, in JMIR Medical Education, a leading open access journal on digital medical education, evaluated the potential of ChatGPT, a natural language processing model, as a medical education tool. The study found that ChatGPT reaches the equivalent of a passing score for a third-year medical student.