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Technological machines and artificial intelligence in nursing practice.

Nursing & health sciences
This article is a theoretical discourse about technological machines and artificial intelligence, highlighting their effective interactive outcomes in nursing. One significant influence is technological efficiency which positively affects nursing car...

Deep Learning for Identifying Promising Drug Candidates in Drug-Phospholipid Complexes.

Molecules (Basel, Switzerland)
Drug-phospholipid complexing is a promising formulation technology for improving the low bioavailability of active pharmaceutical ingredients (APIs). However, identifying whether phospholipid and candidate drug can form a complex through in vitro tes...

Applying Machine Learning to the Visual Inspection of Filled Injectable Drug Products.

PDA journal of pharmaceutical science and technology
With machine learning (ML), we see the potential to better harness the intelligence and decision-making abilities of human inspectors performing manual visual inspection (MVI) and apply this to automated visual inspection (AVI) with the inherent impr...

Emerging technology in agriculture: Opportunities and considerations for occupational safety and health researchers.

Journal of safety research
INTRODUCTION: A variety of factors are driving the development of robotics and automation in the agriculture industry including the nature of work, workforce shortages, and a variety of economic, climatic, technologic, political, and social factors. ...

An end-to-end convolutional neural network for automated failure localisation and characterisation of 3D interconnects.

Scientific reports
The advancement in the field of 3D integration circuit technology leads to new challenges for quality assessment of interconnects such as through silicon vias (TSVs) in terms of automated and time-efficient analysis. In this paper, we develop a fully...

A memristor fingerprinting and characterisation methodology for hardware security.

Scientific reports
The modern IC supply chain encompasses a large number of steps and manufacturers. In many applications it is critically important that chips are of the right quality and are assured to have been obtained from the legitimate supply chain. To this end,...

Artificial Intelligence Chatbots in Allergy and Immunology Practice: Where Have We Been and Where Are We Going?

The journal of allergy and clinical immunology. In practice
Artificial intelligence (AI) is rapidly becoming a valuable tool in healthcare, providing clinicians with a new AI lens perspective for patient care, diagnosis, and treatment. This article explores the potential applications, benefits, and challenges...

Rock Crack Recognition Technology Based on Deep Learning.

Sensors (Basel, Switzerland)
The changes in cracks on the surface of rock mass reflect the development of geological disasters, so cracks on the surface of rock mass are early signs of geological disasters such as landslides, collapses, and debris flows. To research geological d...

In situ sensing physiological properties of biological tissues using wireless miniature soft robots.

Science advances
Implanted electronic sensors, compared with conventional medical imaging, allow monitoring of advanced physiological properties of soft biological tissues continuously, such as adhesion, pH, viscoelasticity, and biomarkers for disease diagnosis. Howe...

Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey.

Sensors (Basel, Switzerland)
Network function virtualization (NFV) is a rapidly growing technology that enables the virtualization of traditional network hardware components, offering benefits such as cost reduction, increased flexibility, and efficient resource utilization. Mor...