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.

Read more

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.

Read more

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.

Read more

Scientists use reinforcement learning to train quantum algorithm

Scientists are investigating how to equip quantum computers with artificial intelligence and machine learning approaches.

Read more

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.

Read more

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.

Read more

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.

Read more

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.

Read more

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.

Read more

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.

Read more

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.

Read more

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.

Read more

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.

Read more