In a substantial milestone for supercomputing-aided drug design, Lawrence Livermore National Laboratory (LLNL) and BridgeBio Oncology Therapeutics (BridgeBio) today announced clinical trials have begun for a first-in-class medication that targets specific genetic mutations implicated in many types of cancer.
Hiring teams need to teach machine learning algorithms how hiring works to find the best candidates.
Hearst Health and the UCLA Center for SMART Health awarded the 2024 Hearst Health Prize to Mount Sinai Health System. Mount Sinai Health System was declared the winner for a machine learning application called NutriScan AI that facilitates faster identification and treatment of malnutrition in hospitalized patients.
Press release announcing Ceevra's certification under EU MDR.
A new initiative funded by The University of Texas System and the state of Texas seeks to improve care for trauma patients, including both service members and civilians.
Australian scientists are getting closer to detecting bushfires in record time, thanks to cube satellites with onboard AI now able to detect fires from space 500 times faster than traditional on-ground processing of imagery.
A forthcoming study from the journal Risk Analysis explores the cascading impacts of AI-driven cyberattacks, including damage on GDP and supply chains for the world’s largest economies
Have you ever wished you could understand what your dog is trying to say to you? University of Michigan researchers are exploring the possibilities of AI, developing tools that can identify whether a dog's bark conveys playfulness or aggression.
Penn Medicine helps bridge medical science with the arts in the world’s first project to image double basses.
Researchers at Washington University in St. Louis have paired cutting edge statistical data science with machine learning to yield a better pathway to recovery for spine surgery patients.
A Carnegie Mellon University-led team has used the Pittsburgh Supercomputing Center’s Bridges-2 system and input from different cultures to develop an effective fine-tuning approach for retraining a popular image generator so that it can generate equitable images for underrepresented cultures.
University of Chicago researchers evaluated text from over 15,000 ASCO Annual Meeting abstracts from 2021 to 2023 and found that there were approximately twice as many abstracts containing AI content in 2023 compared to 2021 and 2022.
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A roundup of the latest medical discoveries and faculty news at Cedars-Sinai.
ETRI researchers have announced the development of traffic signal optimization technology using Artificial Intelligence (AI), which has reduced average travel time for vehicles by more than 15%. This advancement paves the way for smoother urban traffic flow.
Sleep medicine experts available for interview on breaking and trending news about obstructive sleep apnea, CPAP, and more
A team of scientists has developed an artificial intelligence (AI)-based transmission model that can predict prison infection rates with high accuracy. Incorporating real-world data from every facility in the NSW prison system, the new findings add weight to current theoretical models.
Argonne’s Aurora supercomputer represents a leap forward in scientific research. Offering unprecedented speed and power, advanced hardware, and AI capabilities, Aurora ushers in a new era of supercomputing to revolutionize the way scientists conduct research and achieve breakthroughs.
At the Tennessee Valley Corridor Summit 2024 in Nashville, Tenn., on Wednesday, Vanderbilt University and Oak Ridge National Laboratory announced a partnership to develop training, testing and evaluation methods that will accelerate the Department of Defense’s adoption of AI-based systems in operational environments.
A novel speech analysis tool that uses artificial intelligence successfully detected mild cognitive impairment and dementia in a Spanish-speaking population, according to research led by UT Southwestern Medical Center. The study, published in Frontiers in Neurology, provides preliminary support for the algorithm as an early screening tool that may help identify patients at risk of developing dementia.
As the Huiyan Chair Professor at Tsinghua University and Chief Scientist at the Institute for AI Industry Research (AIR), Professor Wei-Ying Ma will share insights on the advancements and challenges of generative AI technology in scientific discovery.
University of Washington researchers worked with a group of 12 Seattle-area kids ages seven to 13 to explore how the kids’ creative processes interacted with AI tools.
A new machine-learning model developed by the University of South Australia is providing teachers with access to high-quality, fit-for-purpose creativity tests, that can score assessments in a fraction of the time and a fraction of the cost.
In 2021, researchers at UT Southwestern Medical Center used artificial intelligence and deep machine learning to analyze 1.7 million raw images of patient-derived tumor samples, pinpointing a key distinction between skin cancer cells with high and low potential to metastasize – a discovery that could ultimately mean the difference between life or death for patients.
Researchers at the University of Notre Dame are developing artificial intelligence tools that help consumers understand how they are being exploited as they navigate online platforms. The goal is to boost the digital literacy of end users so they can better control how they interact with these websites.
AI Health Coach Lowers Blood Pressure and Boosts Engagement in Patients With Hypertension
In a study published online ahead of print in Cancer Research, a team of Moffitt Cancer Center researchers introduce a novel framework that leverages deep reinforcement learning to tailor adaptive treatment schedules, potentially doubling the time to progression compared to current standard-of-care protocols.
In an effort to address America’s aging energy infrastructure, Argonne scientists are using the power of artificial intelligence to predict potential failures before they occur and strategically optimize repairs, paving the way for a more reliable and efficient electric grid.
Orhun Aydin, Ph.D., assistant professor in Earth and Atmospheric Science at SLU’s School for Science and Engineering, received a $149,791 planning grant from the National Science Foundation for a program to put sensors in garbage and recycling bins around the City of St. Louis.
May 22nd marked a significant milestone in the collaborative efforts to combat ovarian cancer as the "International Dialogue on Ovarian Cancer, from Bench to Bedside" congress was held, bridging the gap between primary research and clinical practice.
Astronomers are now using AI to measure the expansion of our universe. Two recent studies led by Maria Dainotti, a visiting professor with UNLV’s Nevada Center for Astrophysics and assistant professor at the National Astronomical Observatory of Japan (NAOJ), incorporated multiple machine learning models to add a new level of precision to distance measurements for gamma-ray bursts (GRBs) – the most luminous and violent explosions in the universe.
Concierge services built on artificial intelligence have the potential to improve how hotels and other service businesses interact with customers, a new paper suggests.
In the rapidly evolving world of cryptocurrency, volatility management remains a crucial challenge. Researchers have now developed a novel approach that integrates Exponential Generalized Autoregressive Conditional Heteroskedasticity (EGARCH) with genetic algorithms and neural networks to enhance the precision of trading decisions in this volatile market.
Indica Labs, an industry leader in AI-powered digital pathology solutions, and Hamamatsu Photonics K.K., a pioneer in whole slide imaging systems, announce that the U.S. Food and Drug Administration (FDA) has issued a 510(k) clearance to Indica Labs for HALO AP Dx, an enterprise digital pathology platform. HALO AP Dx is indicated for primary diagnosis of surgical pathology slides prepared from formalin-fixed paraffin embedded (FFPE) tissue scanned by the NanoZoomer® S360MD Slide scanner1.
University of South Australia computer scientist and AI expert Associate Professor Wolfgang Mayer demonstrates in this video how AI is getting closer to replicating voices and faces, and soon it will be very hard to tell the difference between deepfakes and reality.
Researchers at UT Southwestern Medical Center have developed a novel artificial intelligence (AI) model to improve the detection of breast cancer metastasis, which could reduce the need for needle or surgical biopsies.
Generative artificial intelligence (AI), such as GPT-4, can help predict whether an emergency room patient needs to be admitted to the hospital even with only minimal training on a limited number of records, according to investigators at the Icahn School of Medicine at Mount Sinai.
For up to 30% of patients who are allergic to medical contrast dye or have a dye restriction because of other health conditions, they might find that it takes longer to get a diagnosis when it comes to life-threatening lung issues such as pulmonary embolism.
Researchers from NUS, together with industry partners Soitec and NXP Semiconductors, have demonstrated a new class of silicon systems that promises to enhance the energy efficiency of AI connected devices by leaps and bounds. These technological breakthroughs will significantly advance the capabilities of the semiconductor industry in Singapore and beyond.
Researchers at the UNC School of Medicine, UCSF, Stanford, and Harvard determined that a protein prediction technology can yield accurate results in the hunt to efficiently find the best possible drug candidates for many conditions.
Noise-canceling headphones automatically identify background sounds and cancel them out for much-needed peace and quiet. However, typical noise-canceling fails to distinguish between unwanted background sounds and crucial information, leaving headphone users unaware of their surroundings.
The Information and Intelligence Group within The Grainger College of Engineering at the University of Illinois Urbana-Champaign is one of more than 200 leading AI stakeholders to help advance the development and deployment of safe, trustworthy AI under new U.S. Government safety institute.
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