Mathematical constructions of the action of SARS-CoV-2 and its multiple spikes, which enable its success at infecting cells, can give vaccine developers and pharmaceutical companies alike a more precise picture of what the virus is doing inside us and help fine tune prevention and treatment. ...

Mathematical modeling of disease spread suggests that herd immunity could be achieved with fewer vaccine doses by using Bluetooth-based contact-tracing apps to identify people who have more exposure to others -- and targeting them for vaccination. ...

Researchers working on complicated problems in agriculture, ecology and medicine have developed a mathematical model to enable faster solutions. ...

The Bernese theoretical astrophysicist Kevin Heng has achieved a rare feat: On paper, he has derived novel solutions to an old mathematical problem needed to calculate light reflections from planets and moons. Now, data can be interpreted in a simple way to understand planetary atmospheres, for...

Researchers have discovered a universal mathematical formula that can describe any bird's egg existing in nature -- a significant step in understanding not only the egg shape itself, but also how and why it evolved, thus making widespread biological and technological applications possible. ...

From small committees to national elections, group decision-making can be complicated -- and it may not always settle on the best choice. That's partly because some members of the group do research on their own, and others take their cues from the people around them. A new mathematical framework...

Mantis shrimp pack the strongest punch of any creature in the animal kingdom. How mantis shrimp produce these deadly, ultra-fast movements has long fascinated biologists. Now, an interdisciplinary team of roboticists, engineers and biologists have modeled the mechanics of the mantis shrimp's punch...

Mathematicians have developed an algorithm to decipher the rotational dynamics of twisting particles in large complex systems from the X-ray scattering patterns observed in X-ray photon correlation spectroscopy experiments. ...

Mathematical research is aiding in the analysis of fMRI data. fMRI is the preeminent class of signals collected from the brain in vivo and is irreplaceable in the study of brain dysfunction in many medical fields, including psychiatry, neurology and pediatrics. ...

Explore the maths behind machine learning and deep neural networks with this collection of short introductions and in-depth articles. ...

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