Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of developing new drugs. Deep learning (DL) …

A few decades ago, drug discovery and development were limited to a bunch of medicinal
chemists working in a lab with enormous amount of testing, validations, and synthetic …

Artificial intelligence (AI) based algorithms for classification of suspicious skin lesions have
been implemented in mobile phone apps (mHealth), but their effect on healthcare systems is …

The skin is the human body's largest organ and its cancer is considered among the most
dangerous kinds of cancer. Various pathological variations in the human body can cause …

Background Skin cancer is the most common cancer type affecting humans. Traditional skin
cancer diagnosis methods are costly, require a professional physician, and take time …

Artificial intelligence (AI) applications have become an integral part of our society. However,
studying AI as one entity or studying idiosyncratic applications separately both have …

Simple Summary Early detection and resection of cutaneous melanoma are crucial for a
good prognosis. However, visual distinction of early melanomas from benign nevi remains …

Skin cancer is one of the fatal cancers worldwide. Early detection of this disease can
significantly increase the survival rate. In this study, a multi-modal and soft attention based …

Background As the use of smartphones continues to surge globally, mobile applications
(apps) have become a powerful tool for healthcare engagement. Prominent among these …

Background: Mobile health (mHealth) consumer applications (apps) have been integrated
with deep learning for skin cancer risk assessments. However, prospective validation of …