Accelerating how new drugs are made with machine learning

Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs.

Exploring advances in waveguide-based augmented reality displays

In recent decades, augmented reality (AR) has evolved from a futuristic concept to a tangible and pervasive technology. AR enhances our perception and interaction with the environment by seamlessly blending projected virtual ...

Biobased mulch spray curbs weeds in vegetable crops

Biobased sprayable mulch (BSM) films are a potential alternative to herbicides, polyethylene plastic mulch film, and hand weeding for specialty crops. Researchers at the American Society for Horticultural Science have developed ...

Computational model helps with diabetes drug design

For diabetes patients who must give themselves frequent insulin injections, the risk of low blood sugar can be life-threatening. A potential solution is a type of engineered insulin that circulates in the body and springs ...

Modular flow cells for sustainable chemistry

Electrochemical processes like water electrolysis will become increasingly important in the future in light of climate change and the resultant need for an energy and raw materials transition. The Fraunhofer Institute for ...

A new tool for protein sequence generation and design

EPFL researchers have developed a new technique that uses a protein language model for generating protein sequences with comparable properties to natural sequences. The method outperforms traditional models and offers promising ...

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