The prevalence of dementia and other neurodegenerative diseases is rapidly increasing in
aging nations. These relentless and progressive diseases remain largely without disease …

The recent update of the World Health Organization (WHO) classification of tumors of the
central nervous system represents a paradigm shift. Previous iterations of the classification …

Applications of artificial intelligence and particularly deep learning to aid pathologists in
carrying out laborious and qualitative tasks in histopathologic image analysis have now …

Feature vectors provided by pre-trained deep artificial neural networks have become a
dominant source for image representation in recent literature. Their contribution to the …

Advancements in computer vision and artificial intelligence (AI) carry the potential to make
significant contributions to health care, particularly in diagnostic specialties such as …

Background: Chronic traumatic encephalopathy (CTE) is the term coined for the
neurodegenerative disease often suspected in athletes with histories of repeated …

Accurate interpretation of the hematoxylin and eosin (H&E) slide has remained the
foundation of pathological analysis and diagnostic medicine for over a century. 1 For the …

Glioblastoma is an aggressive form of brain cancer with well-established patterns of intra-
tumoral heterogeneity implicated in treatment resistance and progression. While regional …

The identification of self-renewing and multipotent neural stem cells (NSCs) in the
mammalian brain holds promise for the treatment of neurological diseases and has yielded …

The emergence of digital pathology has opened new horizons for histopathology. Artificial
intelligence (AI) algorithms are able to operate on digitized slides to assist pathologists with …