Lipid receptor SR-B1 identified as a potential immunotherapy target to boost NK cell antitumor response in advanced ovarian ...

Researchers from A*STAR Institute of Molecular and Cell Biology (A*STAR IMCB) and local biotechnology company Intra-ImmuSG ...

With 98.4% accuracy in melanoma detection, SkinEHDLF demonstrates the potential of hybrid deep learning models in ...

Don't ignore those symptoms. Head and neck cancers are far more manageable, and often curable, with less aggressive treatment ...

Many Ugandans continue to face delayed diagnoses, limited access to specialised care, and low public awareness about eye ...

Identifying skin cancer risk through discussions with healthcare providers and dermatologists allows for timely interventions ...

A Direct Response to Provider Demand for Advanced Actinic Keratosis Therapy and Superficial Basal Cell Carcinoma ...

Skin changes are common with age, and moles are often benign. However, melanoma, a severe skin cancer, can resemble a mole.

Artificial intelligence models, pretrained on vast datasets, significantly outperformed a standard baseline model in ...

In recent years, cell therapies have developed alongside chemotherapy and immunotherapy to become a new pillar in the treatment of patients with blood and lymph gland cancer. In solid tumors ...

Objectives: This study aimed to evaluate the effectiveness of deep learning model in assisting dermatologists in classifying basal cell carcinoma (BCC) from seborrheic keratosis (SK). The goal was to ...