The study found that machine learning techniques improved diet prediction by 10-20%. When it comes to studying food and diet, it’s difficult to know what people are eating — let alone their risk of disease caused by what they eat.

Doctors and researchers usually ask people to fill out a long-from food frequency questionnaire that estimates caloric intake, food groups and nutrients. That relies on a person’s memory and may not provide the most accurate picture.

However, a research team led by a Michigan Medicine cardiologist have found a method using molecular profiling and machine learning to develop blood-based dietary signatures that more accurately predict both diet and the risk of cardiovascular disease and type 2 diabetes...

Though plants can serve as a source of food, oxygen and décor, they’re not often considered to be a good source of electricity. But by collecting electrons naturally transported within plant cells, scientists can generate electricity as part of a “green,” biological solar cell. Now, researchers reporting in ACS Applied Materials & Interfaces have, for the first time, used a succulent plant to create a living “bio-solar cell” that runs on photosynthesis.

In all living cells, from bacteria and fungi to plants and animals, electrons are shuttled around as part of natural, biochemical proces...

New findings lay the foundation for the search for dark matter. How are galaxies born, and what holds them together? Astronomers assume that dark matter plays an essential role. However, as yet it has not been possible to prove directly that dark matter exists. A research team including Technical University of Munich (TUM) scientists has now measured for the first time the survival rate of antihelium nuclei from the depths of the galaxy – a necessary prerequisite for the indirect search for Dark Matter.

Many things point to the existence of dark matter...

Research led by Monash University, RMIT and the University of Adelaide has developed an accurate method of controlling optical circuits on fingernail-sized photonic integrated circuits.

The development, published in the journal Optica builds on the work by the same team who recently created the world’s first self-calibrated photonic chip.

Photonics, or the use of light particles to store and transmit information, is a burgeoning field, supporting our need to create faster, better, more efficient and more sustainable technology.

Programmable photonic integrated circuits (PICs), offer diverse signal processing functions within a single chip, and present promising solutions for applications ranging from optical communications to artificial intelligence.

Whether it’s downloadi...