Solute transport mechanisms in liquid/liquid extraction

Kumar, Nitesh; Clark, Aurora E.

doi:10.1021/scimeetings.1c00946

Cited by 1 publication

(2 citation statements)

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“…Currently, nail diseases such as fungal infections and bacterial infections are the most common conditions that cause significant short-term damage to a person's nail health [4]. Nail diseases can affect people of any age and can cause discomfort and pain if left untreated.…”

Section: Introductionmentioning

confidence: 99%

“…One of the most important symptoms of nail diseases is nail discoloration, which can indicate underlying health conditions. Differentiating nail discoloration caused by nail disease from discoloration caused by other factors, such as fungal infection or trauma, can be challenging [4]. In addition, determining the severity of nail diseases is challenging because it varies depending on the number of nails affected and the extent of the damage.…”

Section: Introductionmentioning

confidence: 99%

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Smart System for Human Nail Disease Diagnosis and Underlying Systemic Disease

2023

International Journal of Science and Engineering Applications

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The aim of this research is to develop a smart system for human nail disease diagnosis and underlying systemic disease. Nail disease is a common problem affecting millions of people worldwide, and some nail diseases can be a sign of internal systemic diseases. Diagnosis of nail diseases and internal systemic diseases at an earlier stage could potentially result in improved chances of recovery and extended lifespan. The proposed smart system aims to detect nail disease and internal systemic diseases by examining the color and shape patterns of the nail, determining the severity of the disease based on the spread area, and analyzing the symptoms patient may have by utilizing state-of-the-art technologies such as image recognition, object detection, machine learning, and deep learning. This system could also be integrated with electronic medical records to track patient history and facilitate communication between healthcare providers. According to the performance evaluations, the proposed method for identifying diseases, severity level, and internal systemic diseases has produced results with an accuracy ranging from 82% to 98%. Developing a smart system for human nail disease diagnosis and underlying systemic disease can revolutionize how healthcare providers diagnose and treat nail diseases, potentially improving patient outcomes and quality of life.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%