AI Medical Compendium Journal:
Genes, chromosomes & cancer

Showing 1 to 4 of 4 articles

Digital pathology systems enabling quality patient care.

Genes, chromosomes & cancer
Pathology laboratories are undergoing digital transformations, adopting innovative technologies to enhance patient care. Digital pathology systems impact clinical, education, and research use cases where pathologists use digital technologies to perfo...

Machine learning in computational histopathology: Challenges and opportunities.

Genes, chromosomes & cancer
Digital histopathological images, high-resolution images of stained tissue samples, are a vital tool for clinicians to diagnose and stage cancers. The visual analysis of patient state based on these images are an important part of oncology workflow. ...

How to use AI in pathology.

Genes, chromosomes & cancer
AI plays an important role in pathology, both in clinical practice supporting pathologists in their daily work, and in research discovering novel biomarkers for improved patient care. Still, AI is in its starting phase, and many pathology labs still ...

Standardizing analysis of intra-tumoral heterogeneity with computational pathology.

Genes, chromosomes & cancer
Many malignant cancers like glioblastoma are highly adaptive diseases that dynamically change their regional biology to survive and thrive under diverse microenvironmental and therapeutic pressures. While the concept of intra-tumoral heterogeneity ha...