Next Generation Digital Pathology: Emerging Trends and Measurement Challenges for Molecular Pathology

Next-Generation Pathology.

The field of pathology is rapidly transforming from a semiquantitative and empirical science toward a big data discipline. Large data sets from across multiple omics fields may now be extracted from a patient's tissue sample. Tissue is, however, complex, heterogeneous, and prone to artifact. A reductionist view of tissue and disease progression, which does not take this complexity into account,...

Next-generation pathology.

Molecular pathology of emerging coronavirus infections

Respiratory viruses can cause a wide spectrum of pulmonary diseases, ranging from mild, upper respiratory tract infections to severe and life-threatening lower respiratory tract infections, including the development of acute lung injury (ALI) and acute respiratory distress syndrome (ARDS). Viral clearance and subsequent recovery from infection require activation of an effective host immune resp...

Variations in pre-analytical FFPE sample processing and bioinformatics: challenges for next generation molecular diagnostic testing in clinical pathology

Molecular diagnostics within cellular pathology have been performed since the late 1990s and have developed to include a range of techniques including short tandem repeat (STR) identity analysis, classifi cation of tumours and clonality determinations in hematopathology. More recently, with the introduction of qPCR and more recently of next generation sequencing (NGS) as shown in Figure 1, prec...

Genomic pathology: challenges for implementation.

Currently, the practice of pathology is undergoing a transition in which the focus is on individual molecular tests for specific predictive biomarkers for various types of cancers. This current model is predominantly based on single tests for 1 or more biomarkers to predict possible response to 1 or more distinct targeted therapies for a cancer. However, an even more powerful technology looms o...