Latest AI and machine learning research in skin cancer for healthcare professionals.
Increasing evidence has demonstrated that RING finger (RNF) proteins played a vital role in cellular...
BACKGROUND: Allergen immunotherapy (AIT) can induce immune tolerance to allergens by activating mult...
Melanoma detection, prognosis, and treatment represent challenging and complex areas of cutaneous on...
Immune checkpoint therapies such as PD-1 blockade have vastly improved the treatment of numerous can...
Due to its increasing incidence, skin cancer, and especially melanoma, is a serious health disease t...
Immunotherapy has made great progress in hepatocellular carcinoma (HCC), yet there is still a lack o...
In immunotherapy, ex vivo stimulation of T cells requires significant resources and effort. Here, we...
OBJECTIVE: This study aimed to develop a validated machine learning model to diagnose small choroida...
Innovation refers to the introduction of a product, a process, a service or a solution resulting in ...
Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been introduced and wi...
In the USA, each year, almost 5.4 million people are diagnosed with skin cancer. Melanoma is one of ...
BACKGROUND: Isolated pancreatic metastasis from melanoma is extremely uncommon and accounts for appr...
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of gastric c...
Macrophages play an important role in the adaptive immune system. Their ability to neutralize cellul...
Multiple types of genomic variations are present in cutaneous melanoma and some of the genomic featu...
INTRODUCTION: Vitamin D plays a fundamental role in many metabolic pathways, including those involve...
AIMS: Immunohistochemical programmed death-ligand 1 (PD-L1) staining to predict responsiveness to im...
Since 2017, we have used IonTorrent NGS platform in our hospital to diagnose and treat cancer. Analy...
BACKGROUND: Viral infections are prevalent in human cancers and they have great diagnostic and thera...
At present, deep learning-based medical image diagnosis had achieved high performance in several dis...
OBJECTIVES: To develop and validate a radiomics model for evaluating treatment response to immune-ch...