[HTML][HTML] Modulating biomolecular condensates: a novel approach to drug discovery
In the past decade, membraneless assemblies known as biomolecular condensates have
been reported to play key roles in many cellular functions by compartmentalizing specific …
been reported to play key roles in many cellular functions by compartmentalizing specific …
[HTML][HTML] Pathological identification of HER2-low breast cancer: Tips, tricks, and troubleshooting for the optimal test
E Sajjadi, E Guerini-Rocco, E De Camilli… - Frontiers in Molecular …, 2023 - frontiersin.org
The introduction of novel anti-HER2 antibody-drug conjugates (ADC) for the treatment of
HER2-low breast cancers has transformed the traditional dichotomy of HER2 status to an …
HER2-low breast cancers has transformed the traditional dichotomy of HER2 status to an …
[HTML][HTML] The role of artificial intelligence in accurate interpretation of HER2 immunohistochemical scores 0 and 1+ in breast cancer
The new human epidermal growth factor receptor (HER) 2-targeting antibody-drug
conjugate offers the opportunity to treat patients with HER2-low breast cancer …
conjugate offers the opportunity to treat patients with HER2-low breast cancer …
[HTML][HTML] Artificial intelligence in breast cancer diagnosis and personalized medicine
Breast cancer is a significant cause of cancer-related mortality in women worldwide. Early
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …
and precise diagnosis is crucial, and clinical outcomes can be markedly enhanced. The rise …
[HTML][HTML] Singular Nuclei Segmentation for Automatic HER2 Quantification Using CISH Whole Slide Images
Human epidermal growth factor receptor 2 (HER2) quantification is performed routinely for
all breast cancer patients to determine their suitability for HER2-targeted therapy …
all breast cancer patients to determine their suitability for HER2-targeted therapy …
[HTML][HTML] A soft label deep learning to assist breast cancer target therapy and thyroid cancer diagnosis
Simple Summary Early diagnosis and treatment of cancer is crucial for the survival of cancer
patients. Pathologists can use computational pathology techniques to make the diagnosis …
patients. Pathologists can use computational pathology techniques to make the diagnosis …
[HTML][HTML] Detecting immunotherapy-sensitive subtype in gastric cancer using histologic image-based deep learning
M Hinata, T Ushiku - Scientific reports, 2021 - nature.com
Immune checkpoint inhibitor (ICI) therapy is widely used but effective only in a subset of
gastric cancers. Epstein–Barr virus (EBV)-positive and microsatellite instability …
gastric cancers. Epstein–Barr virus (EBV)-positive and microsatellite instability …
[HTML][HTML] Mapping cancer biology in space: applications and perspectives on spatial omics for oncology
Technologies to decipher cellular biology, such as bulk sequencing technologies and single-
cell sequencing technologies, have greatly assisted novel findings in tumor biology. Recent …
cell sequencing technologies, have greatly assisted novel findings in tumor biology. Recent …
[HTML][HTML] Deep learning to automatically evaluate HER2 gene amplification status from fluorescence in situ hybridization images
T Xue, H Chang, M Ren, H Wang, Y Yang, B Wang… - Scientific Reports, 2023 - nature.com
Human epidermal growth factor receptor 2 (HER2) gene amplification helps identify breast
cancer patients who may respond to targeted anti-HER2 therapy. This study aims to develop …
cancer patients who may respond to targeted anti-HER2 therapy. This study aims to develop …
[HTML][HTML] Artificial intelligence in the pathology of gastric cancer
S Choi, S Kim - Journal of Gastric Cancer, 2023 - ncbi.nlm.nih.gov
Recent advances in artificial intelligence (AI) have provided novel tools for rapid and precise
pathologic diagnosis. The introduction of digital pathology has enabled the acquisition of …
pathologic diagnosis. The introduction of digital pathology has enabled the acquisition of …