Lung cancer remains a global health concern, demanding the development of noninvasive,
prompt, selective, and point-of-care diagnostic tools. Correspondingly, breath analysis using …

Healthcare is experiencing a fast change from a hospital-centric and specialist-focused
model to one that is dispersed and patient-centric. Numerous technological advancements …

This article provides a comprehensive examination of sustainable 6G wireless
communication systems, addressing the urgent need for environmentally friendly and …

ABSTRACT A decentralized patient-centric paradigm is gradually replacing the traditional
hospital and specialist-focused healthcare model. Communication technologies have made …

A delay, interruption, or failure in the wireless connection has a significant impact on the
performance of wirelessly connected medical equipment. Researchers presented the fastest …

Biosensors are inevitable tools for biomedical applications, including disease diagnosis,
monitoring, and drug management. Integrated with nanotechnology, these biosensors have …

The burgeoning intersection of machine learning (ML) with electrochemical sensing heralds
a transformative era in analytical science, pushing the boundaries of what's possible in …

Comet assays are used to assess the extent of Deoxyribonucleic acid (DNA) damage, in
human cells, caused by substances such as novel drugs or nano materials. Deep learning is …

Federated learning (also known as collaborative learning) is a decentralized approach to
training machine learning models. In 5G smart healthcare, federated machine learning …

Holographic-type communication (HTC) is on the verge of revolutionizing current
communication paradigms. It will seamlessly connect people from distant locations through …