Nowadays, artificial intelligence (AI) creates numerous promising opportunities in the life
sciences. AI methods can be significantly advantageous for analyzing the massive datasets …

… of the LoC by endowing the on-chip photodetection function, while employing it for challenged
aqueous mixture analysis with the assistance of machine learning, our demonstrated AI-…

… Artificial intelligence (AI) has dramatically changed the landscape of science, industry,
defence, and medicine in the last several years. Supported by considerably enhanced …

… Deep learning is part of a broader family of machine learning methods based on artificial …
We then used Google Tensorflow (a deep learning Artificial Intelligence open source tool) to …

… For instance, all fragments of artificial intelligence-designed KS compound analogues to …
training was later stored on the artificial intelligence-based lab-on-a-chip, or DNN-based …

… fields, microfluidics and artificial intelligence (AI), is garnering … intelligence signifies a crucial
turning point for lab-on-a-chip … as a fundamental component of lab-on-a-chip technologies. It …

… a-chip platforms, implications for drug development, challenges to leveraging this technology
for improved cancer treatment, and future integration with artificial intelligence for improved …

… contributed 5 papers on the discussion of the future trend for Lab-on-a-chip techniques. …
Core from the University of Glasgow discussed the sustainable aspect of Lab-on-a-chip devices. …

… microfluidic devices and help develop the next generation of lab-on-a-chip (LOC). At the
same time, the evolution of artificial intelligence also gives another strong impetus to the rapid …

… A branch of artificial intelligence called machine learning is … In lab-on-chip technologies,
various experimental processes are integrated and miniaturized onto a single microfluidic chip […