A machine-learning UV absorbance spectroscopy method enables rapid, label-free detection of microbial contamination in cell therapy product manufacturing.
The study highlights human-like driving in AEVs, emphasizing its role in improving road safety and public acceptance through ...
A group of researchers at .NeuroRestore has recently created a system that seamlessly combines rehabilitation robots with an ...
Discover how AI is shaping the future of forensic science, from crime scene reconstruction to DNA analysis. Explore the ...
Intelligent Acting Digital Twins (IADT) integrate AI with digital twins, allowing real-time interaction and control of ...
Developed by SHRO and the University of Pisa, KinasePred uses AI to predict kinase interactions, advancing research in ...
Case Western Reserve University scientists are developing AI-powered robots to assist seniors, aiming to improve quality of ...
Scientists use high-tech robots to uncover the hidden architecture of mycorrhizal networks, revealing how fungi optimize nutrient trade.
This study presents a biorobotic arm that simulates tremors, testing artificial muscles for potential use in discreet ...
AI-driven models reveal key factors for predicting recovery in generalized anxiety disorder, improving treatment ...
Researchers at Tartu University unveil a robotics concept that weaves its body on demand, enhancing adaptability and ...
ReviveMed's AI platform analyzes metabolite data, revealing insights into diseases and streamlining drug development for ...
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