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Current Trends in Neuropathology, An Issue of Surgical Pathology Clinics

Om Current Trends in Neuropathology, An Issue of Surgical Pathology Clinics

This issue of Surgical Pathology Clinics will cover Current Trends in Neuropathology. Curated by Dr. David M. Meredith, this issue will explore topics in the field that are relevant for practicing clinicians. This issue is one of four selected each year by the series Consulting Editor, Jason L. Hornick. The volume will include articles on: Diversity in IDH-wildtype adult gliomas, pediatric gliomas, glioneuronal tumors, embryonal tumors, Molecular advances in tumors of the meninges, pituitary tumors, molecular diagnostics of CNS hematologic malignancies, Infectious diseases of the CNS, Iatrogenic neuropathology of systemic therapies, the future of neuropathology, the potential of digital image analysis and deep learning for CNS tumor diagnosis, and comparative evaluation of molecular and cytogenetic assays.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9780323756068
  • Bindende:
  • Hardback
  • Sider:
  • 240
  • Utgitt:
  • 22. mai 2020
  • Dimensjoner:
  • 178x254x0 mm.
  • Vekt:
  • 520 g.
  • BLACK NOVEMBER
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 8. desember 2024

Beskrivelse av Current Trends in Neuropathology, An Issue of Surgical Pathology Clinics

This issue of Surgical Pathology Clinics will cover Current Trends in Neuropathology. Curated by Dr. David M. Meredith, this issue will explore topics in the field that are relevant for practicing clinicians. This issue is one of four selected each year by the series Consulting Editor, Jason L. Hornick. The volume will include articles on: Diversity in IDH-wildtype adult gliomas, pediatric gliomas, glioneuronal tumors, embryonal tumors, Molecular advances in tumors of the meninges, pituitary tumors, molecular diagnostics of CNS hematologic malignancies, Infectious diseases of the CNS, Iatrogenic neuropathology of systemic therapies, the future of neuropathology, the potential of digital image analysis and deep learning for CNS tumor diagnosis, and comparative evaluation of molecular and cytogenetic assays.

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