An international research collaboration led by ETH Zurich and MIT has developed a mathematical method that can speed up search and rescue operations at sea. The new algorithm accurately predicts locations to which objects and people floating in water will drift.
A new Tel Aviv University-led study offers new evidence that the complexity of contemporary analytical methods in science contributes to the variability of research outcomes.
A team of physicists at the University of Bristol has developed the first integrated photon source with the potential to deliver large-scale quantum photonics. The development of quantum technologies promises to have a profound impact across science, engineering and society. Quantum computers at scale will be able to solve problems intractable on even the most powerful current supercomputers, with many revolutionary applications, for example, in the design of new drugs and materials.
Since the beginning of March, public life in Germany has been severely restricted due to the corona pandemic. Following the encouraging decline in the number of new cases of COVID-19, the debate on the effectiveness of interventions taken to date and on further relaxation of the restrictions is meanwhile gaining momentum.
Hollings Cancer Center researchers at the Medical University of South Carolina have developed and validated prediction calculators, known as nomograms, to help provide personalized estimates of delayed, non-guideline adherent head and neck cancer care. These tools could be used to help prevent delays in the initiation of radiotherapy after surgery, augmenting treatment and improving overall patient survival.
Broad study helps define optimal soybean seeding rates in North America.
Your house number could be the key to the safe relaxation of COVID-19-related restrictions if governments follow a new exit strategy proposal published today in the British Medical Journal. Co-authored by QUT statistician Professor Adrian Barnett, the paper proposes the use of an 'odds-and-evens' approach to allowing people to head back to work and enjoy other activities after weeks of lockdown.
Artificial intelligence (AI) may be an aid to interpreting ECG results, helping healthcare staff to diagnose diseases that affect the heart. Researchers at Uppsala University and heart specialists in Brazil have developed an AI that automatically diagnoses atrial fibrillation and five other common ECG abnormalities just as well as a cardiologist. The study has been published in Nature Communications.
Rice University researchers have discovered a hidden symmetry in the chemical kinetic equations scientists have long used to model and study many of the chemical processes essential for life.
An international research team led by the University of Hong Kong (HKU) developed a new method to accurately track the spread of COVID-19 using population flow data, and establishing a new risk assessment model to identify high-risk locales of COVID-19 at an early stage, which serves as a valuable toolkit to public health experts and policy makers in implementing infectious disease control during new outbreaks. The study findings have been published in the journal Nature.