Geospatial modeling methods have become an important tool for environmental monitoring, which is used to manage environmental risks and monitor natural disaster threats. The modeling results are an important source of information ...
Antibiotic resistance is a global public health crisis responsible for more than a million deaths annually. By 2050, the World Health Organization estimates it could surpass cancer and heart disease as the leading cause of ...
Visualizing cells after editing specific genes can help scientists learn new details about the function of those genes. But using microscopy to do this at scale can be challenging, particularly when studying thousands of ...
A new study from Oregon Health & Science University has uncovered how small molecules within bacteria interact with proteins, revealing a network of molecular connections that could improve drug discovery and cancer research.
As climate change leads to more frequent and intense extreme precipitation events, accurately predicting rainfall during the flood season has become increasingly critical.
A research team led by Dr. David Helman from the Faculty of Agriculture, Food and Environment at the Hebrew University of Jerusalem has developed a novel machine learning model employing hyperspectral imaging to assess the ...
As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips.
Our bodies are made up of around 75 billion cells. But what function does each individual cell perform and how greatly do a healthy person's cells differ from those of someone with a disease? To draw conclusions, enormous ...
Enzymes are crucial to life. They are nature's little catalysts. In the gut, they help us digest food. They can enhance perfumes or get laundry cleaner with less energy. Enzymes also make potent drugs to treat disease. Scientists ...
Skoltech researchers have presented a new simple physical model for predicting the hardness of materials based on information about the shear modulus and equations of the state of crystal structures. The model is useful for ...
