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Scientific Reports
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May 20, 2026
Integrative taxonomy of cryptic Pachypus chafers using museomics, morphometrics, barcoding, and genomic DNA analysis (Coleoptera: Scarabaeidae: Pachypodinae)
Dirk Ahrens, Erika Bazzato, Ana Cristina Castro Lopez, et al.
Nature Cancer
|
January 29, 2025
Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics
Michael Ritter, Christina Blume, Yiheng Tang, et al.
Nature Communications
|
June 16, 2025
Somatic gene delivery faithfully recapitulates a molecular spectrum of high-risk sarcomas
Roland Imle, Daniel Blösel, Felix K F Kommoss, et al.
Acta Neuropathologica
|
December 15, 2020
Clear cell meningiomas are defined by a highly distinct DNA methylation profile and mutations in SMARCE1
Philipp Sievers, Martin Sill, Christina Blume, et al.
Acta Neuropathologica
|
March 18, 2023
Glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (GTAKA): a molecularly distinct brain tumor type with recurrent NTRK gene fusions
Henri Bogumil, Martin Sill, Daniel Schrimpf, et al.
Nature Medicine
|
March 26, 2025
Prospective, multicenter validation of a platform for rapid molecular profiling of central nervous system tumors
Areeba Patel, Kirsten Göbel, Sebastian Ille, et al.
Acta Neuropathologica
|
August 6, 2021
Recurrent fusions in PLAGL1 define a distinct subset of pediatric-type supratentorial neuroepithelial tumors
Philipp Sievers, Sophie C Henneken, Christina Blume, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
October 7, 2021
Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated
Sybren L N Maas, Damian Stichel, Thomas Hielscher, et al.
Nature Genetics
|
February 9, 2026
A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification
Sybren L N Maas, Yiheng Tang, Eric Stutheit-Zhao, et al.
Page
of 1
Search research articles
Search
Showing results (1-10 of 9) with videos related to
Sort By:
Page
of 1
Scientific Reports
|
May 20, 2026
Integrative taxonomy of cryptic Pachypus chafers using museomics, morphometrics, barcoding, and genomic DNA analysis (Coleoptera: Scarabaeidae: Pachypodinae)
Dirk Ahrens, Erika Bazzato, Ana Cristina Castro Lopez, et al.
Nature Cancer
|
January 29, 2025
Spatially resolved transcriptomics and graph-based deep learning improve accuracy of routine CNS tumor diagnostics
Michael Ritter, Christina Blume, Yiheng Tang, et al.
Nature Communications
|
June 16, 2025
Somatic gene delivery faithfully recapitulates a molecular spectrum of high-risk sarcomas
Roland Imle, Daniel Blösel, Felix K F Kommoss, et al.
Acta Neuropathologica
|
December 15, 2020
Clear cell meningiomas are defined by a highly distinct DNA methylation profile and mutations in SMARCE1
Philipp Sievers, Martin Sill, Christina Blume, et al.
Acta Neuropathologica
|
March 18, 2023
Glioneuronal tumor with ATRX alteration, kinase fusion and anaplastic features (GTAKA): a molecularly distinct brain tumor type with recurrent NTRK gene fusions
Henri Bogumil, Martin Sill, Daniel Schrimpf, et al.
Nature Medicine
|
March 26, 2025
Prospective, multicenter validation of a platform for rapid molecular profiling of central nervous system tumors
Areeba Patel, Kirsten Göbel, Sebastian Ille, et al.
Acta Neuropathologica
|
August 6, 2021
Recurrent fusions in PLAGL1 define a distinct subset of pediatric-type supratentorial neuroepithelial tumors
Philipp Sievers, Sophie C Henneken, Christina Blume, et al.
Journal of Clinical Oncology : Official Journal of the American Society of Clinical Oncology
|
October 7, 2021
Integrated Molecular-Morphologic Meningioma Classification: A Multicenter Retrospective Analysis, Retrospectively and Prospectively Validated
Sybren L N Maas, Damian Stichel, Thomas Hielscher, et al.
Nature Genetics
|
February 9, 2026
A microenvironment-determined risk continuum refines subtyping in meningioma and reveals determinants of machine learning-based tumor classification
Sybren L N Maas, Yiheng Tang, Eric Stutheit-Zhao, et al.
Page
of 1