Practical carbon capture technologies are still in the early stages of development, with the most promising involving a class of compounds called amines that can chemically bind with carbon dioxide. In AVS Quantum Science, researchers deploy an algorithm to study amine reactions through quantum computing. An existing quantum computer cab run the algorithm to find useful amine compounds for carbon capture more quickly, analyzing larger molecules and more complex reactions than a traditional computer can.
Ming Ye: Then and Now / 2012 Early Career Award Winner
The DOE Early Career Research Program Award allowed Ming Ye at Florida State University to develop interdisciplinary approaches to quantify and reduce uncertainty in environmental studies.
Novel Wearable Belt with Sensors Accurately Monitors Heart Failure 24/7
There is a critical need for non-invasive solutions to monitor heart failure progression around the clock. This novel wearable device is based on sensors embedded in a lightweight belt that monitors thoracic impedance, electrocardiogram (ECG), heart rate and motion activity detection. The device was tested in different conditions including sitting, standing, lying down and walking. Findings showed that all of sensors kept track of the changes for all of the different conditions.
AI model using daily step counts predicts unplanned hospitalizations during cancer therapy
An artificial intelligence (AI) model developed by researchers can predict the likelihood that a patient may have an unplanned hospitalization during their radiation treatments for cancer. The machine-learning model uses daily step counts as a proxy to monitor patients’ health as they go through cancer therapy, offering clinicians a real-time method to provide personalized care. Findings will be presented today at the American Society for Radiation Oncology (ASTRO) Annual Meeting.
BRIDGE Study Finds Disparities Caused by Algorithm in Healthcare Systems
Patients from historically medically underserved groups, including patients of color and those who are Spanish-speaking, have less cancer family history information available to them. In addition, existing health records are less comprehensive, according to a study published October 4 in the Journal of the American Medical Association Network Open.
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.
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.
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.
Suicide Prediction Method Combines AI and Face-to-Face Screening
A new observational study from Vanderbilt University Medical Center points to solutions for efficient clinical prediction of suicide attempt or suicidal thinking in adults. Reported May 13 in JAMA Open by Drew Wilimitis, Colin Walsh, MD, MA, and colleagues, the study compares an artificial intelligence algorithm with face-to-face screening.
Self-driving microscopes discover shortcuts to new materials
Researchers at the Department of Energy’s Oak Ridge National Laboratory are teaching microscopes to drive discoveries with an intuitive algorithm, developed at the lab’s Center for Nanophase Materials Sciences, that could guide breakthroughs in new materials for energy technologies, sensing and computing.
Improving Georgia land conservation through algorithms
A team of University of Georgia researchers has created a model to help land developers and public officials identify the land that is best suited for conservation. Led by Fabio Jose Benez-Secanho, a former UGA graduate student, and Puneet Dwivedi, associate professor in the Warnell School of Forestry and Natural Resources, this first-of-its-kind algorithm considers a variety of factors not included in other models when calculating the value of land for conservation.
New study compares algorithms for solving the optimal control problem
The RUDN University scientist compared the performance of several algorithms for solving optimal control problems that arise everywhere, from economics to cosmonautics.
FAU Receives NSF Grant to Explore Trait Evolution Across Species
The NSF grant will enable scientists to elucidate trait evolution across species using statistical and supervised machine learning approaches to vigorously and accurately predict general and specific evolutionary mechanisms that also will be applicable to various genomic and transcriptomic data for evolutionary discovery.
Decades After Toxic Exposure, 9/11 First Responders May Still Lower Their Risk of Lung Injury
Losing weight and treating excess levels of fat in the blood may help prevent lung disease in firefighters exposed to dangerous levels of fine particles from fire, smoke, and toxic chemicals on Sept. 11, 2001, a new study shows.
Computer science, environmental health experts at UIC team up to protect US Navy divers with AI
The U.S. Office of Naval Research has awarded University of Illinois Chicago researchers $725,000 to develop an artificial intelligence system that can help protect divers from waterborne bacteria, parasites, and other harmful pathogens and microbes.
Invention: The Storywrangler
Scientists have invented a first-of-its-kind instrument to peer deeply into billions of Twitter posts–providing an unprecedented, minute-by-minute view of popularity, from rising political movements, to K-pop, to emerging diseases. The tool–called the Storywrangler–gathers phrases across 150 different languages, analyzing the rise and fall of ideas and stories, each day, among people around the world. The Storywrangler quantifies collective attention.
Liquid Metal Sensors and AI Could Help Prosthetic Hands to ‘Feel’
Prosthetics currently lack the sensation of “touch.” To enable a more natural feeling prosthetic hand interface, researchers are the first to incorporate stretchable tactile sensors using liquid metal and machine learning. This hierarchical multi-finger tactile sensation integration could provide a higher level of intelligence for artificial hands by improving control, providing haptic feedback and reconnecting amputees to a previously severed sense of touch.
Will COVID-19 Eventually Become Just a Seasonal Nuisance?
Within the next decade, the novel coronavirus responsible for COVID-19 could become little more than a nuisance, causing no more than common cold-like coughs and sniffles. That possible future is predicted by mathematical models that incorporate lessons learned from the current pandemic on how our body’s immunity changes over time. Scientists at the University of Utah carried out the research, now published in the journal Viruses.
UB pharmacy researcher aims to develop real-time algorithm to lower hospital readmission rates
To lower hospital readmission rates for patients with chronic obstructive pulmonary disease (COPD), University at Buffalo pharmacy researcher David Jacobs has received a $962,000 award from the National Heart, Lung, and Blood Institute to develop a real-time readmission risk prediction algorithm.
With Census data release, algorithms can offer fairer alternatives
On Monday, the U.S. Census Bureau will release population data that will be used to determine the number of congressional seats and Electoral College votes each state receives. David Shmoys, professor in computer science at Cornell University, studies how…
The Ramanujan Machine
Using AI and computer automation, Technion researchers have developed a “conjecture generator” that creates mathematical conjectures, which are considered to be the starting point for developing mathematical theorems. They have already used it to generate a number of previously unknown formulas.
Story Tips from Johns Hopkins Experts on COVID-19
Vaccines take time to work. After getting a COVID-19 vaccine, it takes a while for the immune system to fully respond and provide protection from the virus. For the Moderna and Pfizer COVID-19 vaccines, it takes up to two weeks after the second shot to become appropriately protected.
A Free App Can Help School and College Administrators Contain COVID-19 This Semester
With COVID-19 infection rates rising across the country as students return to school for the spring semester, how will schools and colleges control the spread? COVID Back-to-School can help. It’s a free online tool that predicts the outcome of taking…
Borrowing from birds, experts reduce search times for novel high-entropy alloys to seconds
Computational materials science experts at the U.S. Department of Energy’s Ames Laboratory enhanced an algorithm that borrows its approach from the nesting habits of cuckoo birds, reducing the search time for new high-tech alloys from weeks to mere seconds.
App Developed at Rensselaer Can Help Guide COVID-19 Management on Any Campus
Leaders at Rensselaer Polytechnic Institute relied on a powerful algorithm, COVID Back-to-School – now freely available to the public – to determine that twice-weekly testing of all students would be the optimal regimen for keeping the infection rate on campus safely below 1% for any two-week period.
Best way to detect ‘deepfake’ videos? Check for the pulse
Researchers from Binghamton University have teamed up with Intel to develop a tool called FakeCatcher, which can detect deepfake videos at an accuracy rate above 90%.
Algorithm boosts efficiency, nutrition for food bank ops
Cornell University systems engineers examined data from a busy New York state food bank and, using a new algorithm, found ways to better allocate food and elevate nutrition in the process.
Scientists use reinforcement learning to train quantum algorithm
Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.
Algorithm Created By “Deep Learning” Identifies Potential Therapeutic Targets Throughout Genome
A team of researchers have developed an algorithm through machine learning that helps predict sites of DNA methylation – a process that can change the activity of DNA without changing its overall structure – and could identify disease-causing mechanisms that would otherwise be missed by conventional screening methods.
Looking Up to the Stars Can Reveal What’s Deep Below
Using a new technique originally designed to explore the cosmos, scientists have unveiled structures deep inside the Earth, paving the way towards a new map revealing what Earth’s interior looks like.
Image Analysis Technique Provides Better Understanding of Heart Cell Defects
Many patients with heart disease face limited treatment options. Fortunately, stem cell biology has enabled researchers to produce large numbers of cardiomyocytes, which may be used in advanced drug screens and cell-based therapies. However, current image analysis techniques don’t allow researchers to analyze heterogeneous, multidirectional, striated myofibrils typical of immature cells. In the Journal of Applied Physics, researchers showcase an algorithm that combines gradient methods with fast Fourier transforms to quantify myofibril structures in heart cells with considerable accuracy.
Mount Sinai First in U.S. to Use Artificial Intelligence to Analyze Coronavirus (COVID-19) Patients
Mount Sinai researchers are the first in the country to use artificial intelligence (AI) combined with imaging, and clinical data to analyze patients with coronavirus disease (COVID-19).
Artificial Intelligence Algorithm Can Rapidly Detect Severity of Common Blinding Eye Disease
A new artificial intelligence (AI) algorithm developed by researchers at New York Eye and Ear Infirmary of Mount Sinai (NYEE) can rapidly and accurately detect age-related macular degeneration (AMD), a leading cause of vision loss in the United States.
Engineering assistant professor develops safer, quicker data processing method
A novel algorithm to solve big data resource sharing problems over large networks, developed by researchers in the Penn State College of Engineering, may also have implications for energy savings and data security.
Algorithm tracker monitors Reddit rankings of COVID-19 posts
Since 2016, Cornell University assistant professor of communication J. Nathan Matias has tracked the algorithms on Reddit, a massive network of forums where people share content and news, and which claims to have more users than Twitter. As the coronavirus pandemic exploded, Matias began using the tool – called the COVID-19 Algo-Tracker – to monitor Reddit’s virus-related posts and threads, both to inform people about the mechanisms behind the information they’re receiving and to create a large, publicly available dataset for future research.
Digital Tool Helps Hospital Make Important Coronavirus Retest Decisions
The dearth of coronavirus tests and the many false negatives confront doctors with a difficult decision this new tool helps them make.
We Know AI is Biased; This Design Approach May Help Fix It
Bias in artificial intelligence is well established. Researchers are now proposing that developers incorporate the concept of “feminist design thinking” into their process as a way of improving equity – particularly in the development of software used in hiring.
Breaking Through Computational Barriers to Create Designer Proteins
Using advanced computational methods to find working designs, researchers created six protein pairs in cells.
CFN Staff Spotlight: Xiaohui Qu Bridges the Data Science-Materials Science Gap
As a staff member in the Theory and Computation Group at Brookhaven Lab’s Center for Functional Nanomaterials, Qu applies various approaches in artificial intelligence to analyze experimental and computational nanoscience data.
New algorithms improve prosthetics for upper limb amputees
Dr. Maryam Zahabi is leading a team of researchers in an effort to improve prosthetics for upper limb amputees. Her team is looking at the mental demand placed on individuals using prosthetics and how new prosthetic interfaces can help reduce this demand.
New Algorithms Shed Light on Molecules’ Structure and Motion in Cells
To understand why very large molecules behave the way they do inside cells, scientists must first understand the relationship between these molecules’ structure and motion. Engineers created algorithms that provide the physics backbone for a new “microscope in a computer.”
New software tool uses AI to help doctors identify cancer cells
UT Southwestern researchers have developed a software tool that uses artificial intelligence to recognize cancer cells from digital pathology images – giving clinicians a powerful way of predicting patient outcomes.
Artificial Intelligence Tool Predicts Life Expectancy in Heart Failure Patients
Researchers at University of California San Diego School of Medicine, as well as a diverse team of cardiologists and physicists, developed a machine learning algorithm to predict the life expectancy in heart failure patients.
Symmetries in Physical Systems Help Optimize Quantum Computing
At the AVS 66th International Symposium and Exhibition, Oct. 20-25, Daniel Gunlycke will present a study on using symmetry to reduce the effects of random quantum entanglement in quantum computing applications. When deliberate, quantum entanglement can make algorithms more powerful and efficient, but uncontrolled entanglement adds unnecessary additional complexity to quantum computing, making algorithms suboptimal and more prone to error. Gunlycke says by reducing the frequency of accidental entanglements, quantum computing can be improved.
Algorithm Reduces Need for Therapy in Children With Intermediate-Risk Neuroblastoma
Roswell Park’s Dr. Clare Twist led an effort to develop and validate a new treatment algorithm for infants and children with neuroblastoma. In a new study in the Journal of Clinical Oncology, the team reports that many patients can safely receive less extensive therapy.
Machine learning in agriculture: scientists are teaching computers to diagnose soybean stress
Machine learning could lead to automated processes that would allow soybean producers to diagnose crop stresses more efficiently. A multi-disciplinary team at Iowa State University recently received a grant to develop the technology, which could lead to unmanned aerial vehicles surveying fields and automatically analyzing crop images.
Artificial Intelligence Could be ‘Game Changer’ in Detecting, Managing Alzheimer’s Disease
Study Introduces Machine Learning as New Tactic in Assessing Cognitive Brain Health and Patient Care Worldwide, about 44 million people are living with Alzheimer’s disease (AD) or a related form of dementia. Although 82 percent of seniors in the United…