… -biosensors, and discussed the materials, wireless communication, machine learning
and decision applied in AI-biosensors in … AI-biosensors (AI wearable sweat biosensors, AI-eatable …

… progress in artificial intelligence and biosensors in medical and life sciences. We discuss
the role of machine learning in medical imaging, precision medicine, and biosensors for the …

… Biosensor-based devices are revolutionary in contemporary … The coupling of artificial
intelligence (AI) for biosensors for POC … Furthermore, machine learning (ML) has allowed for …

… Nowadays, as a branch of artificial intelligence (AI), machine learning (ML) have achieved
impressive advances. However, novel advanced ML methods, especially deep learning, …

… The coupling of artificial intelligence (AI) for cardiac monitoring-based biosensors for the …
the most significant machine-learning algorithms for the futuristic biosensors along with the …

… research on biosensors, CGM will be used in a variety of circumstances. … biosensors. Our
emphasis is placed on three main artificial intelligence (AI) applications for CGM biosensors: …

… Recently, the integration of wearables and artificial intelligence (AI) has attracted … biosensing
networks. This work reviews the recent developments in AI-assisted wearable biosensing …

… side or oversimplified when describing AI biosensor integration, we seek to strike a middle …
, and biosensing backgrounds. We provide a thorough breakdown of biosensor development …

… In this section, an artificial intelligence-based algorithm is discussed, which effectively
collects and transfers the data from the various deployed sensor nodes. The sensors (like ECG …

… In this Minireview, recently developed molecular biosensing … and the unique potential of
artificial intelligence techniques for … great promise for miniaturized biosensors in practical point-of…