New AI model draws treasure maps to diagnose disease

Researchers at the Beckman Institute developed an artificial intelligence model that can accurately identify tumors and diseases in medical images. The tool draws a map to explain each diagnosis, helping doctors follow its line of reasoning, check for accuracy, and explain the results to patients.

AI-enabled atomic robotic probe to advance quantum material manufacturing

Scientists from the National University of Singapore (NUS) have pioneered a new methodology of fabricating carbon-based quantum materials at the atomic scale by integrating scanning probe microscopy techniques and deep neural networks. This breakthrough highlights the potential of implementing artificial intelligence at the sub-angstrom scale for enhanced control over atomic manufacturing, benefiting both fundamental research and future applications.

Study Detects Cognitive Changes in Older Drivers Using In-vehicle Sensors

Continuous, unobtrusive sensors and related monitoring devices are installed in older drivers’ vehicles to detect changes in highly complex activities over time. A driver facing camera, forward facing camera, and telematics unit provide video in real-time to enable researchers to analyze abnormal driving such as getting lost, reaction time and braking patterns as well as travel patterns such as miles driven, miles during the night and daytime, and driving in severe weather. Detecting changes in behavior could generate early warning signs of possible changes in cognition.

Five Cutting-edge Advances in Biomedical Engineering and Their Applications in Medicine

Bridging precision engineering and precision medicine to create personalized physiology avatars. Pursuing on-demand tissue and organ engineering for human health. Revolutionizing neuroscience by using AI to engineer advanced brain interface systems. Engineering the immune system for health and wellness. Designing and engineering genomes for organism repurposing and genomic perturbations.

Spotlight on early detection of 3 heart diseases using ECG-AI

Too often, the first sign of cardiovascular disease may be a major event like a heart attack, stroke or cardiac arrest. Now, researchers and clinicians at Mayo Clinic are using artificial intelligence (AI) technology to flag heart problems earlier, boosting the abilities of a diagnostic test that has been around for over a century — the electrocardiogram (ECG).

Argonne scientists use AI to identify new materials for carbon capture

Researchers at the U.S. Department of Energy’s Argonne National Laboratory have used new generative AI techniques to propose new metal-organic framework materials that could offer enhanced abilities to capture carbon

Argonne training program alumni find success in extreme-scale computing

Past attendees of the annual Argonne Training Program on Extreme-Scale Computing are thriving in careers across the field of high performance computing.

Mount Sinai Researchers Awarded $4.1 Million NIH Grant to Advance Understanding of Sleep Apnea Using Artificial Intelligence

Machine-learning method aims to predict consequences of serious sleep disorder impacting millions in the U.S.

Experts available to discuss potential harm to patients from AI-based software in doctor’s offices

In a new commentary published in the Journal of the American Medical Association (JAMA), University of Maryland School of Medicine faculty warn against the use of AI-driven software tools and other large language models to summarize patient medical data without…

Rakuten Medical Presents AI-based Study in Two Posters on Immune Characteristics in Responders and Cellular Level Drug Quantification of Alluminox Treatment (Photoimmunotherapy) at SITC 2023

Rakuten Medical, Inc., a global biotechnology company developing and commercializing precision, cell-targeted therapies based on its proprietary Alluminox™ platform today announced the presentation of two posters of AI-based analyses at the 38th Annual Meeting of the Society for Immunotherapy of Cancer (SITC), held November 3-5, 2023, in San Diego, CA (SITC 2023).

Advances in machine learning for nuclear power operations spell a brighter future for carbon-free energy

Researchers at Argonne are harnessing the power of machine learning to enhance the safety and efficiency of next-generation nuclear reactors. Using a specialized model, researchers may be able to detect anomalies in reactor operations even when they are masked by other noises, ensuring a safer energy future.

GW Experts Available: Britain Hosts World’s First Global AI Safety Summit

Britain is hosting the world’s first global artificial intelligence (AI) safety summit to examine the risks of AI and start an international dialogue on regulating the fast-moving technology, according to Reuters. World leaders, tech executives, academics and non-profits are meeting for…

GW Experts Available: Biden Administration Unveils Highly-Anticipated Executive Order on AI

The Biden Administration unveiled a highly-anticipated executive order on artificial intelligence (AI) today. According to The Washington Post, it marks the U.S. government’s most significant attempt yet to regulate the fast-moving technology. The order streamlines high-skilled immigration and heralds the use of AI…

AI can alert urban planners and policymakers to cities’ decay

As urbanization advances around the globe, the quality of the urban physical environment will become increasingly critical to human well-being and to sustainable development initiatives. However, measuring and tracking the quality of an urban environment, its evolution and its spatial disparities is difficult due to the amount of on-the-ground data needed to capture these patterns. To address this issue, Yong Suk Lee, assistant professor of technology, economy and global affairs in the Keough School of Global Affairs at the University of Notre Dame, and Andrea Vallebueno from Stanford University used machine learning to develop a scalable method to measure urban decay.

Artificial intelligence may help predict infection risks after implant-based breast reconstruction

Artificial intelligence (AI) techniques may provide a more accurate approach to predicting the risk of periprosthetic infection after implant-based breast reconstruction, reports a study in the November issue of Plastic and Reconstructive Surgery®, the official medical journal of the American Society of Plastic Surgeons (ASPS).

A Cancer Survival Calculator Is Being Developed Using Artificial Intelligence

Researchers have developed an artificial intelligence (AI)–based tool for estimating a newly diagnosed cancer patient’s chances for surviving long term, according to a study presented at the American College of Surgeons (ACS) Clinical Congress 2023.

From square to cube: Hardware processing for AI goes 3D, boosting processing power

In a paper published today in Nature Photonics, researchers from the University of Oxford, along with collaborators from the Universities of Muenster, Heidelberg, and Exeter, report on their development of integrated photonic-electronic hardware capable of processing three-dimensional (3D) data, substantially boosting data processing parallelism for AI tasks.

AI-driven earthquake forecasting shows promise in trials

A new attempt to predict earthquakes with the aid of artificial intelligence has raised hopes that the technology could one day be used to limit earthquakes’ impact on lives and economies. Developed by researchers at The University of Texas at Austin, the AI algorithm correctly predicted 70% of earthquakes a week before they happened during a seven-month trial in China.