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UrduTo celebrate Exascale Day, Argonne highlights some of the projects poised to make scientific breakthroughs on the upcoming Aurora exascale computer. Their research explores the spread of cancer, fusion energy, brain mapping, particle physics and more.
Tag: Artificial Intelligence
Beaumont Health genetics and artificial intelligence research discovers blood test to prenatally identify dangerous fetal heart defects
Currently, the U.S. leads western nations in infant mortality and cardiac birth defects are a leading cause. New research harnesses the power of AI to detect dangerous cardiac abnormalities prenatally. Resulting medical protocols implemented at birth in those at-risk could go a long way toward saving lives.
Cleveland Clinic and IBM Begin Installation of IBM Quantum System One
Cleveland Clinic and IBM have begun deployment of the first private sector onsite, IBM-managed quantum computer in the United States. The IBM Quantum System is to be located on Cleveland Clinic’s main campus in Cleveland.
The first quantum computer in healthcare, anticipated to be completed in early 2023, is a key part of the two organizations’10-year partnership aimed at fundamentally advancing the pace of biomedical research through high-performance computing. Announced in 2021, the Cleveland Clinic-IBM Discovery Accelerator is a joint center that leverages Cleveland Clinic’s medical expertise with the technology expertise of IBM, including its leadership in quantum computing.
5 big strides from Argonne towards nuclear energy’s future
Nuclear energy is an exciting carbon-free energy source. Recent work at Argonne National Laboratory shows how nuclear energy can improve and why it is such an enticing resource in the fight against climate change.
Machine Learning Takes Hold in Nuclear Physics
Scientists have begun turning to new tools offered by machine learning to help save time and money. In the past several years, nuclear physics has seen a flurry of machine learning projects come online, with many papers published on the subject. Now, 18 authors from 11 institutions summarize this explosion of artificial intelligence-aided work in “Machine Learning in Nuclear Physics,” a paper recently published in Reviews of Modern Physics.
Cleveland Clinic Researchers Identify Diabetes Drug Metformin as Potential Atrial Fibrillation Treatment in Collaborative Research
Cleveland Clinic researchers have identified a common diabetes medication, metformin, as a possible treatment for atrial fibrillation.
The study, published in Cell Reports Medicine, built on ongoing collaborative Cleveland Clinic research to support further investigation into metformin as a drug repurposing candidate. Researchers used advanced computation and genetic sequencing to determine that metformin’s targets overlap significantly with genes dysregulated in atrial fibrillation.
Cleveland Clinic Selected as Founding Partner in Greater Washington, D.C. Quantum Computing Hub
Cleveland Clinic has been selected as a founding partner and the leading healthcare system in a new initiative meant to spur collaboration and innovation in the quantum computing industry.
Based in Greater Washington, D.C., Connected DMV and a cross-sector coalition of partners are developing the new Life Sciences and Healthcare Quantum Innovation Hub to prepare the industry for the burgeoning quantum era and align with key national and global efforts in life sciences and quantum technologies.
AI-guided screening uses ECG data to detect a hidden risk factor for stroke
An AI-guided targeted screening strategy is effective in detecting new cases of atrial fibrillation that would not have come to attention in routine clinical care.
This strategy could reduce the number of undiagnosed cases of atrial fibrillation, and prevent stroke and death in millions of patients across the globe.
Reliability and safety of intelligent systems feature at 2nd HK Tech Forum at CityU
Eminent scientists from around the world tackled some of the most challenging issues found in complex systems that incorporate artificial intelligence at the HK Tech Forum on Reliability and Safety of Intelligent Systems.
Genetic Variation Explains Racial Disparity in Esophageal Cancer Cases
Researchers at UC San Diego have used artificial intelligence-guided tools to pinpoint both a specific type of immune cell as the driver of esophageal cancer and a specific genetic variation that acts as a protective factor in African Americans.
Researchers Aim to Use AI to Predict Rare Diseases
Penn Medicine researchers will help lead development of an algorithm to flag patients at risk of rare disease thanks to a $4.7 million NIH grant
Mount Sinai Researchers Use Artificial Intelligence to Uncover the Cellular Origins of Alzheimer’s Disease and Other Cognitive Disorders
Deep learning models represent “an entirely new paradigm for studying dementia”
Department of Energy Announces $15 Million in Exploratory Research for Extreme-Scale Science
Today, the U.S. Department of Energy (DOE) announced $15 million in funding for basic research to explore potentially high-impact approaches in scientific computing and extreme-scale science. The projects will address disruptive technology changes from emerging trends in high-end computing, massive datasets, artificial intelligence, and increasingly heterogeneous architectures such as neuromorphic and quantum computing systems.
New method for comparing neural networks exposes how artificial intelligence works
A team at Los Alamos National Laboratory has developed a novel approach for comparing neural networks that looks within the “black box” of artificial intelligence to help researchers understand neural network behavior. Neural networks recognize patterns in datasets; they are used everywhere in society, in applications such as virtual assistants, facial recognition systems and self-driving cars.
UC San Diego Joins NIH ‘Bridge to Artificial Intelligence’ Program
UC San Diego scientists will lead several components of Bridge2AI, a new NIH-funded program to promote the use of AI in health and research.
Call for Papers – The International Halal Science and Technology Conference 2022 (IHSATEC): 15th Halal Science Industry and Business (HAISB)
The Halal Science Center, Chulalongkorn University, and Research Synergy Foundation, invites all to attend “The International Halal Science and Technology Conference 2022 (IHSATEC): 15th Halal Science Industry and Business (HAISB)” and has opened up a call for papers. The conference sessions will be on December 15-16, 2022 at Chulalongkorn University, Bangkok, Thailand.
How artificial intelligence can explain its decisions
Artificial intelligence (AI) can be trained to recognise whether a tissue image contains a tumour.
The Effects of Copper, Patient-Relevant Tissue Models, and Artificial Intelligence Featured in Sept. 2022 Issue of ToxSci
A new ToxPoint articles argues that “Copper Is the New Showstopper,” while a commentary calls for patient-relevant tissue models in the September 2022 issue of Toxicological Sciences (ToxSci), the official journal of the Society of Toxicology (SOT). Other featured articles…
Rensselaer To Advance Blockchain Tech With $360k Grant
Rensselaer Polytechnic Institute’s Oshani Seneviratne, director of health data research at the Institute for Data Exploration and Applications (IDEA), and Lirong Xia, associate professor of computer science, have been awarded $363,343 from the Algorand Foundation. The award is part of an $8 million grant to fund blockchain research through a project led by Vassilis Zikas, associate professor of computer science and security researcher at Purdue University.
Mayo Clinic study shows successful labor outcomes in expectant mothers using AI
Mayo Clinic researchers have found that using artificial intelligence (AI) algorithms to analyze patterns of changes in women who are in labor can help identify whether a successful vaginal delivery will occur with good outcomes for mom and baby. The findings were published in PLOS ONE.
Driving simulations that look more life-like
Today’s driving simulators have a big problem: They don’t look realistic enough, particularly background objects, such as trees, and road markings. But researchers have developed a new way to create photorealistic images for simulators, paving the way for better testing of driverless cars.Conventional computer graphics use detailed models, meshes and textures to render 2D images from 3D scenes, a labor-intensive process which produces images that often fall short of being realistic, particularly in the background.
Big data in the ER
Researchers at Osaka University use machine learning methods on a large dataset of trauma patients to determine the factors that correlate with survival, which may significantly improve triage and rapid treatment procedures.
A new neuromorphic chip for AI on the edge, at a small fraction of the energy and size of today’s compute platforms
An international team of researchers has designed and built a chip that runs computations directly in memory and can run a wide variety of AI applications–all at a fraction of the energy consumed by computing platforms for general-purpose AI computing. The NeuRRAM neuromorphic chip brings AI a step closer to running on a broad range of edge devices, disconnected from the cloud, where they can perform sophisticated cognitive tasks anywhere and anytime without relying on a network connection to a centralized server.
Precision health perspectives
In February, UCI launched the Institute for Precision Health, a campus-wide, interdisciplinary endeavor that merges UCI’s powerhouse health sciences, engineering, machine learning, artificial intelligence, clinical genomics and data science capabilities. The objective is to identify, create and deliver the most effective health and wellness strategy for each individual person and, in doing so, confront the linked challenges of health equity and the high cost of care.
Rensselaer Researchers to Address Big Data Challenges
Dr. Yangyang Xu, assistant professor of mathematical sciences at Rensselaer Polytechnic Institute, has received a $250,000 grant from the National Science Foundation (NSF) to research challenges associated with distributed big data in machine learning.Machine learning algorithms allow computers to make decisions, predictions, and recommendations on the basis of input training data without being explicitly told what information to look for in the data.
Mayo Clinic Platform_Accelerate announces second cohort of AI startups
ROCHESTER, Minn. — Mayo Clinic Platform_Accelerate has announced its second cohort of health tech startups, including national and international businesses. The program will help seven companies develop and validate their artificial intelligence-driven health care products or solutions and advance their business plans.
Icahn School of Medicine at Mount Sinai Announces Biomedical Laureates to Address Health Disparities in Environmental Health, Cancer, and Emergency Medicine
The Icahn School of Medicine at Mount Sinai announced today the appointment of three new Laureates as part of its Biomedical Laureates Program, furthering its institutional commitment to broadening diversity and mentorship opportunities.
UCLA researchers use artificial intelligence tools to speed critical information on drug overdose deaths
Fast data processing of overdose deaths, which have increased in recent years, is crucial to developing a rapid public health response. But the system now in place lacks precision and takes months. To correct that, UCLA researchers have developed an automated process that reduces data collection to a few weeks.
Pairing imaging, AI may improve colon cancer screening, diagnosis
A research team from the lab of Quing Zhu, the Edwin H. Murty Professor of Engineering in the Department of Biomedical Engineering at the McKelvey School of Engineering at Washington University in St. Louis, has combined optical coherence tomography (OCT) and machine learning to develop a colorectal cancer imaging tool that may one day improve the traditional endoscopy currently used by doctors.
Using artificial intelligence to control digital manufacturing
Scientists and engineers are constantly developing new materials with unique properties that can be used for 3D printing, but figuring out how to print with these materials can be a complex, costly conundrum.
Artificial Intelligence Edges Closer to the Clinic
TransMED analyzes patient data from similar diseases across multiple sources to understand COVID-19 patient outcome risk factors.
JMIR Biomedical Engineering | Using Machine Learning to Reduce Treatment Burden
JMIR Publications recently published “Reducing Treatment Burden Among People With Chronic Conditions Using Machine Learning: Viewpoint” in JMIR Biomedical Engineering which reported that the COVID-19 pandemic has illuminated multiple challenges within the health care system and is unique to those living with chronic conditions.
Innovative Smartphone and Artificial Intelligence-Based Tests Featured at the 2022 AACC Annual Scientific Meeting
Scientists have developed a cheap, convenient smartphone test for monitoring patients at risk for dangerous blood clots. Research demonstrating that this test works, along with a second study on using artificial intelligence (AI) to improve testing and treatment for people with kidney stones, will be presented at the 2022 AACC Annual Scientific Meeting & Clinical Lab Expo. Both studies could help resolve longstanding challenges in healthcare and laboratory testing.
Black Patients Found Six Times More Likely to Have Advanced Vision Loss After Glaucoma Diagnosis Than White Patients
Black patients have a dramatically higher risk of advanced vision loss after a new diagnosis of primary open angle glaucoma (POAG) when compared to white patients, according to a new study from New York Eye and Ear Infirmary of Mount Sinai (NYEE).
Artificial Intelligence in Personalized Medicine, Genomic Sequencing Advances, Human Brain Organogenesis, Building Trust with Patients, Guiding Patient Decisions with Mass Spectrometry, and Much More to Be Explored at 2022 AACC
At the 2022 AACC Annual Scientific Meeting & Clinical Lab Expo, laboratory medicine experts will present the cutting-edge research and technology that is revolutionizing clinical testing and patient care.
Study confirms the sensitivity of Techcyte’s AI solution for intestinal protozoa detection
A study authored by researchers at Quest Diagnostics and presented at ASM Microbe on June 9-12th 2022 in Washington, D.C. provides evidence that the Techcyte technology aids in the detection of intestinal protozoa.
Techcyte announces the release of their second generation AI for Human Parasites
Techcyte, a leading developer of AI-based image analysis solutions for the diagnostics industry, is proud to announce the release of their second-generation solution for Human Fecal Trichrome (HFT) for human parasites.
Predictive model uses gut microbes to forecast human diseases, health outcomes
A new approach that uses artificial intelligence shows how to use microorganisms in the body and molecules in cells to predict human health outcomes, according to Penn State College of Medicine and University of Texas Southwestern Medical Center researchers.
Life Gets Easier with ReadMe Program that Digitizes Documents and Images Developed Right Here in Thailand
A team from Chula’s Faculty of Engineering have made use of AI Deep Tech to develop a program that scans documents and images into OCR documents. The program is more than 90% accurate when reading Thai scripts and Chula’s UTC is now ready for a spin-off to the market through Eikonnex AI Co. Ltd.
AI applied to prediagnostic CTs may help diagnose pancreatic cancer at earlier, more treatable stage
A study published in Gastroenterology finds that radiomics-based machine learning models may detect pancreatic cancer on prediagnostic CT scans substantially earlier than current methods for clinical diagnosis.
University of Florida launches innovative online courses on AI in medicine
The University of Florida’s College of Medicine is launching an innovative series of interactive online courses to teach medical students and clinicians how artificial intelligence can improve medicine. The three courses are virtual and interactive, making extensive use of animations and videos. The courses were initially conceived for medical students but Tighe envisions them eventually also being used by medical residents and fellows, faculty and other practicing physicians.
Artificial intelligence folds RNA molecules
For the function of many biomolecules, their three-dimensional structure is crucial. Researchers are therefore not only interested in the sequence of the individual building blocks of biomolecules, but also in their spatial structure.
Smartphone App to Assess Stool Form, Rural-Urban Disparities in Cirrhosis Mortality, Lung Infection Risk in Severe Alcoholic Hepatitis in July Issue of AJG
The July issue of The American Journal of Gastroenterology highlights new clinical science including using a smartphone app to assess stool form, rural-urban disparities in cirrhosis mortality, and lung infection risk in severe alcohol-related hepatitis. This issue also includes articles on pediatric IBD, therapy options for Crohn’s disease, a novel endoscopic suturing device, proton pump inhibitors, and more.
MSU researchers use AI to stay ahead of COVID-19 and other diseases
The National Institutes of Health have awarded Michigan State University researchers $2.7 million to continue developing artificial intelligence algorithms that predict key features of viruses as they evolve.
The Mark Foundation for Cancer Research Expands Partnership with The Johns Hopkins University to Accelerate Groundbreaking Immunotherapy Research
The Mark Foundation for Cancer Research and the Bloomberg~Kimmel Institute for Cancer Immunotherapy (BKI) announced today a new $10 million commitment at The Johns Hopkins University to fund novel work and advance immunotherapy research to provide lifesaving breakthroughs to people with cancer.
People less outraged by gender discrimination caused by algorithms
People are less morally outraged when gender discrimination occurs because of an algorithm rather than direct human involvement, according to research published by the American Psychological Association.
Flawed AI Makes Robots Racist, Sexist
The work, led by Johns Hopkins University, the Georgia Institute of Technology, and University of Washington researchers, is believed to be the first to show that robots loaded with an accepted and widely used model operate with significant gender and racial biases. The work is set to be presented and published this week at the 2022 Conference on Fairness, Accountability, and Transparency.
Scientists blend AI, 3D tissue imaging to identify aggressive prostate cancer
Researchers at Case Western Reserve University and the University of Washington expect to gain valuable new insights into highly aggressive prostate cancer by combining Artificial Intelligence (AI)-powered diagnostic imaging with three-dimensional (3D) tissue imaging.
Computer hardware mimics brain functions
A multi-institutional team, including Argonne National Laboratory, has developed a material with which computer chips can be designed to reconfigure their circuits when presented with new information. It does so by mimicking functions in the human brain.
“There’s no way AI can be smart enough to be sentient,” say UF experts, who can also discuss evidence of sentience.
The sidelining of a Google engineer for claiming the company’s latest chatbot is “sentient” has raised questions over whether artificial intelligence (AI) systems have reached that point, or whether we’d even be able to tell. University of Florida experts say…