• Mashup Score: 0
    AI Detects Cancer ~ Dr. Antonio Giordano| SHRO - 6 month(s) ago

    The algorithm is Sphinks, which can detect three groups of tumors Many cells are usually considered “not transformed” and present close to a tumor might have already some genetic abnormalities. The novel algorithm-based method of “spatial transcriptomics,” allows the possibility of identifying genetic changes in tissues that are usually considered “normal” but are close to tissues already damaged by cancer. This approach highlights the fact that many changes related to cancer development might b

    Source: www.drantoniogiordano.com
    Categories: Hem/Oncs, Latest Headlines
    Tweet Tweets with this article
    • Profile photo of profgiordanoa
      profgiordanoa

      #Blogpost: "AI Can Now Detect Cancer" Spatial transcriptomics reveals hidden genetic changes in nearby normal tissues aiding early cancer detection. Click here to read: https://t.co/PyZesNMevK #SpatialTranscriptomics #EarlyDiagnosis #PrecisionMedicine #CancerResearch… https://t.co/T582zvpGQu https://t.co/snkvDSiyq5

  • Mashup Score: 0
    AI Detects Cancer ~ Dr. Antonio Giordano| SHRO - 6 month(s) ago

    The algorithm is Sphinks, which can detect three groups of tumors Many cells are usually considered “not transformed” and present close to a tumor might have already some genetic abnormalities. The novel algorithm-based method of “spatial transcriptomics,” allows the possibility of identifying genetic changes in tissues that are usually considered “normal” but are close to tissues already damaged by cancer. This approach highlights the fact that many changes related to cancer development might b

    Source: www.drantoniogiordano.com
    Categories: Hem/Oncs, Latest Headlines
    Tweet Tweets with this article
    • Profile photo of profgiordanoa
      profgiordanoa

      #Blogpost: "AI Can Now Detect Cancer" Spatial transcriptomics reveals hidden genetic changes in nearby normal tissues aiding early cancer detection. Click here to read: https://t.co/b2k4pyxeZW #SpatialTranscriptomics #EarlyDiagnosis #PrecisionMedicine #CancerResearch… https://t.co/1AMCy9Glz4

  • Mashup Score: 1
    Spatial Transcriptomic Analysis of Pituitary Corticotroph Tumors Unveils Intratumor Heterogeneity - 9 month(s) ago

    Spatial transcriptomic (ST) analysis of tumors provides a novel approach on studying gene expression along with the localization of tumor cells in their environment to uncover spatial interactions. Herein, we present ST analysis of corticotroph pituitary neuroendocrine tumors (PitNETs) from formalin-fixed, paraffin-embedded (FFPE) tissues. We report that the in situ annotation of tumor tissue can be inferred from the gene expression profiles and is in concordance with the annotation made by a pathologist. Furthermore, relative gene expression in the tumor corresponds to common protein staining used in the evaluation of PitNETs, such as reticulin and Ki-67 index. Finally, we identify intratumor heterogeneity; clusters within the same tumor may present with different secretory capacity and transcriptomic profiles, unveiling potential intratumor cell variability with possible therapeutic interest. Together, our results provide the first attempt to clarify the spatial cell profile in PitNE

    Source: www.medrxiv.org
    Categories: Latest Headlines, Oncologists1
    Tweet Tweets with this article
    • Profile photo of chfloudas
      chfloudas

      Excited for participating in this #spatialtranscriptomics #Visium platform study with an expert team from @NICHD_NIH, in the first step of studying the spatial biology of #pituitary corticotroph tumors, revealing their heterogeneity. https://t.co/SANbr315Iz

Load More