Publications by authors named "Michael Edward Kallen"
Article Synopsis
- Microscopic examination of tissue is crucial in pathology, but traditional histology methods are time-consuming, destructive, and not well-suited for modern precision medicine, causing delays in diagnosis.
- AI-based techniques, like those developed by PictorLabs, have shown potential to streamline this process by generating quick diagnostic images using machine learning.
- In a study involving lymph node biopsies, virtual H&E stains performed comparably to traditional chemical stains, achieving higher stain quality and similar diagnostic accuracy, indicating that virtual stains may be a viable alternative for clinical assessments.
The classification of haematological neoplasms recently underwent revision, generating two separate schemes-the International Consensus Classification and the fifth edition of the WHO classification. The new division into separate classification systems presents challenges for haematopathologists, haematologists/oncologists and patients. While it is too early to assess the full clinical impact, we sought to identify diagnostic discordance which may arise from applying separate classification schemes in myeloid neoplasia, and particularly in the challenging category of myelodysplastic syndrome/myeloproliferative neoplasms.
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