Researchers use photocatalysis to edit molecules, adjusting carbon-based ring sizes for versatile structures.
Creating realistic “squishy” brain tissue in the lab
Growing brain tissue requires capturing the realistic “squishiness” and cohesion between cells, but how each cell type contributes has been a mystery.
Entangling particles helps improve the accuracy of quantum measurements
Using 19 different quantum computers, scientists demonstrate how entangled particles break limitations in accuracy on the sub-atomic scale.
Biobots made from roundworms
Scientists are turning to C. elegans for biobot designs, guiding their movement through reconfigurable microtopographies.
Composite materials illuminated with machine learning
Researchers take a different approach to machine learning to uncover the physics of optics in composite materials.
3D printing cell substrate topographies
Scientists use 3D printing to combine fundamental biology research methods with high-throughput screening of cell culture surface topographies.
Frogs: Poisoned dart or silver bullet?
Scientists in Japan have devised an efficient way to create the backbone to a whole family of natural products, thus unlocking potential new medicines.
Artificial intelligence could be promising alternative to animal models
Replacing animal testing with the ever-growing capabilities of AI and deep learning could help minimize the need for animals in scientific discovery.
DeepMind solves 50-year-old challenge in predicting protein folding
Using their deep-learning program, AlphaFold, researchers predict the 3D structure of proteins using only their linear amino acid sequence, revolutionizing computational biology as we know it.
Recruiting AI in the battle against SARS-CoV-2 and future pandemics
A new AI system can identify optimal combinations of drugs and dosages in a matter of days to help halt viral pandemics before they reach global scales.