The Association for Diagnostics & Laboratory Medicine’s (formerly AACC’s) Clinical Chemistry journal released a special issue today titled “Cancer: Biology and Diagnostics,” which presents a wide range of discoveries with the potential to improve cancer diagnosis and treatment.
Biosensing engineer Azahar Ali, assistant professor of animal sciences and biological systems engineering at Virginia Tech, is bracing for the arrival of a fourth agricultural revolution.
New York, NY [January 4, 2023]—In a milestone study, researchers from the Icahn School of Medicine at Mount Sinai have harnessed the power of artificial intelligence (AI) to enhance the assessment of the heart’s right ventricle, which sends blood to the lungs.
A new method is introduced for the management of risks of complex investment products in the investment banking area.
While musculoskeletal imaging volumes are increasing, there is a relative shortage of subspecialized musculoskeletal radiologists to interpret the studies. Is AI the solution?
Diagnosing cancer today involves using chemical “contrast agents” to improve the accuracy of medical imaging processes such as X-rays as well as computed tomography (CT) and magnetic resonance imaging (MRI) scans.
This paper provides an overview of how Artificial General Intelligence (AGI) can transform radiation oncology to elevate the standard of patient care, with the key insight being AGI's ability to exploit multimodal clinical data at scale.
Driven by the need for a better way to prioritize targets for drug development, the Icahn School of Medicine at Mount Sinai has led the development of a novel “genetic priority score” (GPS) that will integrate various types of human genetic data into a single easy-to-interpret score. The findings were described in the January 3 online issue of Nature Genetics [DOI: 10.1038/s41588-023-01609-2]. Studies have shown that drugs have an increased likelihood of success in clinical trials when the genes they target have been demonstrated to have genetic support. The new tool integrates multiple lines of genetic evidence to prioritize these drug targets.
Researchers developed an artificial intelligence tool to quickly analyze gene activities in medical images and provide single-cell insight into diseases in tissues and tissue microenvironments.
The American Association of Neuromuscular & Electrodiagnostic Medicine (AANEM), is excited to share that the Abstract Submission Application opens January 1, 2024, for the upcoming AANEM Annual Meeting.
يتوصل الباحثون في مايو كلينك إلى اكتشافات جديدة، ويطوِّرون أدوات وتقنيات هي الأولى من نوعها، ويحسِّنون باستمرار الأدوات والتقنيات الحالية بهدف تقديم الأفضل في مجال الرعاية الصحية. تُمثَل القصص العشرة التالية ملخصًا لبعض أهم التطورات البحثية الطبية في مايو كلينك خلال العام الماضي. تتراوح الاكتشافات من تسخير الذكاء الاصطناعي (AI) لاكتشاف المرض مبكرًا إلى تطوير علاجات للأمراض النادرة والمعقدة.
Os pesquisadores da Mayo Clinic fazem novas descobertas, desenvolvem ferramentas e tecnologias inéditas, e constantemente aprimoram tudo o que já existe com o objetivo de oferecer o que há de melhor em termos de cuidados de saúde.
Los investigadores de Mayo Clinic hacen nuevos descubrimientos, desarrollan tecnologías y herramientas únicas en su clase y mejoran constantemente aquellas existentes para brindar el mejor servicio de atención médica.
A research team led by Dr. Kim, Hyungmin of the Bionics Research Center at the Korea Institute of Science and Technology (KIST) has developed a real-time acoustic simulation technology based on generative AI to predict and correct the distortion of the ultrasound focus position caused by the skull in real-time during focused ultrasound therapy.
A roundup of the latest medical discoveries and faculty news at Cedars-Sinai for December 2023.
Vizient Southern States, a membership alliance for not-for-profit health care providers, awarded Jason Hill, MD, MMM, clinical innovation officer, Ochsner Health, the 2023 Brilliance Award as a result of being selected to present at the 2023 Connections Summit.
Researchers at the UCLA Health Jonsson Comprehensive Cancer Center have received a five-year, $3 million grant from the National Cancer Institute to identify novel cancer biomarkers and develop AI that can detect and predict aggressive prostate cancer to help avoid unnecessary treatments and their associated negative side effects.
Wars, strikes, Barbie, politics and planets dominated the news in 2023, and Michigan State University faculty experts were on hand to add research-based science and scholarship to many of the top statewide, national and global stories of the year.
A research team from the Cancer Science Institute of Singapore (CSI Singapore) at the National University of Singapore (NUS) has successfully harnessed artificial intelligence (AI) and deep-learning techniques to model atomic-level RNA 3D structures from primary RNA sequences.
With the rise in machine learning applications and artificial intelligence, it's no wonder that more and more scientists and researchers are turning to supercomputers. Supercomputers are commonly used for making predictions with advanced modeling and simulations. This can be applied to climate research, weather forecasting, genomic sequencing, space exploration, aviation engineering and more.
How interactions between tumor genes, microenvironment affect multiple myeloma treatment responses, a new AI technique could guide glioblastoma treatment, new research shows birth country a key risk factor in stomach cancer, how petrochemicals fuel cancer risk and more are included in this month’s tip sheet.
Argonne National Laboratory’s Theta supercomputer will be retired at the end of 2023, ending a productive run of enabling scientific breakthroughs in areas ranging from materials discovery to supernova simulations.
Large language models (LLMs) radically speed up text production in a variety of use cases. When they are fed with samples of our individual writing style, they are even able to produce texts that sound as though we ourselves wrote them. In other words, they act as AI ghostwriters creating texts on our behalf.
A study is published in the journal of Nuclear Science and Techniques, researchers from Sun Yat-sen University, have achieved a significant breakthrough in understanding the decay processes of superheavy nuclei.
The U.S. Food and Drug Administration has oversight of software powered by AI and machine learning used in healthcare and has issued guidance for developers, including a call to make the logic used by AI models to be transparent or explainable so that clinicians can review the underlying reasoning.
The study of superheavy nuclei is at the forefront of nuclear physics, probing the boundaries of the nuclear landscape and the quest for new elements.
Artificial intelligence developed to model written language can be utilized to predict events in people's lives.
People generally can’t tell the difference between AI and human art, but they prefer the latter — even if they can’t explain it
Virginia Tech researchers have discovered limitations in ChatGPT’s capacity to provide location-specific information about environmental justice issues.
During a chemical reaction, molecules gain energy until they reach what’s known as the transition state — a point of no return from which the reaction must proceed. This state is so fleeting that it’s nearly impossible to observe it experimentally.
Transformer architectures have facilitated the development of large-scale and general-purpose sequence models for prediction tasks in natural language processing and computer vision, e.g., GPT-3 and Swin Transformer.
Wildfire management systems outfitted with remote sensing technology could improve first responders’ ability to predict and respond to the spread of deadly forest fires.
As efforts to transition away from fossil fuels strengthen the hunt for new sources of low-carbon energy, scientists have developed a deep learning model to scan the Earth for surface expressions of subsurface reservoirs of naturally occurring free hydrogen.
An artificial intelligence (AI) tool developed by investigators at the Smidt Heart Institute at Cedars-Sinai and colleagues at two other institutions accurately predicted how patients would fare after surgeries and procedures.
On this episode of the Business and Society podcast, three professors from the Ross School of Business discuss the state of retail from a technological, industry, and trending strategy perspective.
The Department of Energy’s Pacific Northwest National Laboratory has created the Center for AI @PNNL to coordinate the pioneering research of hundreds of scientists working on a range of projects focused on science, security and energy resilience.
Duke Health is among a leading group of health systems and payers from across the U.S. to sign a pledge advancing ethical and responsible use of Artificial Intelligence technology in health care.
Biomedical engineering researchers at Arizona State University are using artificial intelligence to accelerate medical advances.
A multidisciplinary team led by Jefferson Lab and including imec, NY CREATES, and Cornell University has been selected by DOE to advance a superconducting approach to advanced computer chip technology.
Maternity-related employment gaps may cause job candidates to be unfairly screened out of positions for which they are otherwise qualified, according to new research from NYU Tandon School of Engineering. A research team led by Siddharth Garg, Institute Associate Professor of Electrical and Computer Engineering, examined bias in Large Language Models (LLMs) – advanced AI systems trained to understand and generate human language – when used in hiring processes.
Accurately counting manatee aggregations within a region is crucial yet challenging. Harnessing the power of AI, researchers are among the first to use a deep learning-based crowd counting approach to automatically count the number of manatees in a designated region, using images captured from CCTV cameras, which are readily available, as input.
Artificial intelligence (AI) systems are often depicted as sentient agents poised to overshadow the human mind. But AI lacks the crucial human ability of innovation, researchers at the University of California, Berkeley have found.
Inaugural chief health artificial intelligence officer joins UC San Diego Health.
Irvine, Calif., Dec. 12, 2023 — The National Academy of Inventors has named two University of California, Irvine researchers as fellows. Guann-Pyng (G.P.) Li, a pioneer in the development of microelectronics for advanced health and sustainable energy applications, and David Reinkensmeyer, who combines robotics and neuroscience to create devices to help people with movement rehabilitation after neurological injury, are among 162 academic inventors made fellows by the NAI this year.
Innovative Eyewear, Inc. ("Innovative Eyewear" or the "Company") (NASDAQ: LUCY; LUCYW), the developer of smart eyewear under the Lucyd®, Nautica®, Eddie Bauer® and Reebok® brands, is pleased to announce a key update to the Company's Lucyd app for Android, the first app to enable a voice interface for ChatGPT.
With a single flash of light to the eye, artificial intelligence (AI) could deliver a faster and more accurate way to diagnose autism spectrum disorder (ASD) in children, according to new research from the University of South Australia and Flinders University.
Physician-investigators compared a chatbot’s probabilistic reasoning to that of human clinicians. The findings, published in JAMA Network Open, suggest that artificial intelligence could serve as useful clinical decision support tools for physicians.
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