Background The global burden of invasive fungal infections (IFIs) has shown an upsurge in
recent years due to the higher load of immunocompromised patients suffering from various …

Emerging machine learning (ML) technologies have the potential to significantly improve the
research and treatment of rare diseases, which constitute a vast set of diseases that affect a …

The second largest cause of mortality worldwide is breast cancer, and it mostly occurs in
women. Early diagnosis has improved further treatments and reduced the level of mortality …

Diabetic patients can also be identified immediately utilizing retinopathy photos, but it is a
challenging task. The blood veins visible in fundus photographs are used in several disease …

The DCNN is a powerful deep learning system. Breast cancer classification, segmentation,
and detection have previously been shown to be improved by DCNNs in a range of medical …

Due to the adverse effects associated with long-term administration of antifungal drugs used
for treating dermatophytic lesions like tinea unguium, there is a critical need for novel …

Urinary tract infections (UTIs) maintained a serious public health concern, as did the growth
in antibiotic resistance both between uropathogenic microorganisms. A regular assessment …

As an epidemic, COVID‐19's core test instrument still has serious flaws. To improve the
present condition, all capabilities and tools available in this field are being used to combat …

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) which caused
coronavirus diseases (COVID-19) in late 2019 in China created a devastating economical …

Artificial Intelligence (AI) is an emerging, transforming and revolutionary technology that has
captured attention worldwide. It is translating research into precision oncology treatments. AI …