Advances in digitizing tissue slides and the fast-paced progress in artificial intelligence,
including deep learning, have boosted the field of computational pathology. This field holds …

Despite the notable success of chimeric antigen receptor (CAR) T cell therapies in the
treatment of certain haematological malignancies, challenges remain in optimizing CAR …

Cancer is the second leading cause of death globally, trailing only heart disease. In the
United States alone, 1.9 million new cancer cases and 609,360 deaths were recorded for …

Protein structure prediction is a longstanding issue crucial for identifying new drug targets
and providing a mechanistic understanding of protein functions. To enhance the progress in …

The field of oncology has witnessed an extraordinary surge in the application of big data and
artificial intelligence (AI). AI development has made multiscale and multimodal data fusion …

Breast cancer (BC) is characterized by an extensive genotypic and phenotypic
heterogeneity. In-depth investigations into the molecular bases of BC phenotypes …

Simple Summary Heat-shock proteins (HSPs) are molecular chaperones overexpressed in
tumor cells and are necessary for their survival. In leukemia and lymphoma, HSPs have …

3. It must behave (act and think) in a rational way: the method that leads the intelligent
system to solve a problem is a formal structured process following the logic. 4. It must obtain …

Translational medicine aims to improve human health by exploring potential treatment
methods developed during basic scientific research and applying them to the treatment of …

Despite decades of clinical and preclinical studies, the markers and mechanisms of
resistance to cancer immunotherapy, particularly immune checkpoint blockade (ICB), remain …