Latest AI and machine learning research in skin cancer for healthcare professionals.
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...
In traditional hospital systems, diagnosis and localization of melanoma are the critical challenges ...
Cancer immunotherapy provides durable clinical benefit in only a small fraction of patients, and ide...
Advanced high-grade serous ovarian cancer continues to be a therapeutic challenge for those affected...
Quantitative phase microscopy (QPM) enables studies of living biological systems without exogenous l...
Histopathological images are widely used to diagnose diseases including skin cancer. As digital hist...
Skin cancer is currently the most common type of cancer among Caucasians. The increase in life expec...
PURPOSE: Non-melanoma skin cancer (NMSC) is the most frequent keratinocyte-origin skin tumor. It is ...
T cells play a crucial role in controlling and driving the immune response with their ability to dis...
Melanoma, one of the most dangerous types of skin cancer, results in a very high mortality rate. Ear...
Melanoma skin cancer is the most life-threatening and fatal disease among the family of skin cancer ...
BACKGROUND: Response to immunotherapy in gastric cancer is associated with microsatellite instabilit...
For an emerging disease like COVID-19, systems immunology tools may quickly identify and quantitativ...
BACKGROUND: Neoantigen based personalized immune therapies achieve promising results in melanoma and...
AIM: Sentinel lymph node status is a central prognostic factor for melanomas. However, the surgical ...
Anti-PD-1 immunotherapy has recently shown tremendous success for the treatment of several aggressiv...
Dermatological problems are the most widely spread skin diseases amongst human beings. They can be i...
BACKGROUND: Gastric cancer (GC) is a highly heterogeneous tumor with different responses to immunoth...
Deep learning has emerged as the technique of choice for identifying hidden patterns in cell imaging...
In a time of rapid advances in science and technology, the opportunities for radiation oncology are ...