The proliferation of wearable technology enables the generation of vast amounts of sensor
data, offering significant opportunities for advancements in health monitoring, activity …

Plasticity allows organisms to form lasting adaptive changes in neural structures in response
to interactions with the environment. It serves both species-general functions and …

Recently, there has been a surge in the development of advanced intelligent generative
content (AIGC), especially large language models (LLMs). However, for many downstream …

The scalability of large language models (LLMs) in handling high-complexity models and
large-scale datasets has led to tremendous successes in pivotal domains. While there is an …

Large language models (LLMs) have the potential to transform digital healthcare, as
evidenced by recent advances in LLM-based virtual doctors. However, current approaches …

Problematic smartphone use negatively affects physical and mental health. Despite the wide
range of prior research, existing persuasive techniques are not flexible enough to provide …

The integration of the Internet of Things (IoT) and modern Artificial Intelligence (AI) has given
rise to a new paradigm known as the Artificial Intelligence of Things (AIoT). In this survey, we …

Physical activity has significant benefits to health, yet large portions of the population remain
physically inactive. Mobile health applications show promising potential for low-cost …

The differential sensing approach uses fingerprint patterning to distinguish uncharacterized
biological samples. Inspired by natural sensory systems, an array of cross‐reactive sensors …

In the fast-paced world of healthcare technology, combining IoT devices with large language
models (LLMs) offers a promising path to transform Clinical Decision-Support Systems …