AIMC Topic: Receptors, Progesterone

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Deep-Learning Uncovers certain CCM Isoforms as Transcription Factors.

Frontiers in bioscience (Landmark edition) Feb 21, 2024
BACKGROUND: Cerebral Cavernous Malformations (CCMs) are brain vascular abnormalities associated with an increased risk of hemorrhagic strokes. Familial CCMs result from autosomal dominant inheritance involving three genes: (), (), and (). CCM1 and...
Transcription Factors Carrier Proteins Humans Deep Learning Proto-Oncogene Proteins Hemangioma, Cavernous, Central Nervous System Protein Isoforms Receptors, Progesterone
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Noninferiority of Artificial Intelligence-Assisted Analysis of Ki-67 and Estrogen/Progesterone Receptor in Breast Cancer Routine Diagnostics.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc Mar 1, 2023
Image analysis assistance with artificial intelligence (AI) has become one of the great promises over recent years in pathology, with many scientific studies being published each year. Nonetheless, and perhaps surprisingly, only few image AI systems ...
Humans Estrogens Receptors, Estrogen Artificial Intelligence Reproducibility of Results Receptors, Progesterone Female Breast Neoplasms Ki-67 Antigen
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Training, Validation, and Test of Deep Learning Models for Classification of Receptor Expressions in Breast Cancers From Mammograms.

JCO precision oncology Nov 1, 2021
PURPOSE: The molecular subtype of breast cancer is an important component of establishing the appropriate treatment strategy. In clinical practice, molecular subtypes are determined by receptor expressions. In this study, we developed a model using d...
Models, Biological Datasets as Topic Mammography Gene Expression Receptors, Progesterone Receptor, ErbB-2 Receptors, Estrogen Aged Breast Neoplasms Middle Aged Deep Learning Humans Female
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Machine learning approaches to decipher hormone and HER2 receptor status phenotypes in breast cancer.

Briefings in bioinformatics Mar 22, 2019
Breast cancer prognosis and administration of therapies are aided by knowledge of hormonal and HER2 receptor status. Breast cancer lacking estrogen receptors, progesterone receptors and HER2 receptors are difficult to treat. Regarding large data repo...
Receptors, Estrogen Receptors, Progesterone Humans Biomarkers, Tumor Female Phenotype Machine Learning Computational Biology Gene Expression Profiling Breast Neoplasms Prognosis Algorithms Receptor, ErbB-2
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Electronic Health Record Phenotypes for Precision Medicine: Perspectives and Caveats From Treatment of Breast Cancer at a Single Institution.

Clinical and translational science Jan 1, 2018
Precision medicine is at the forefront of biomedical research. Cancer registries provide rich perspectives and electronic health records (EHRs) are commonly utilized to gather additional clinical data elements needed for translational research. Howev...
Receptors, Progesterone Phenotype Receptors, Estrogen Precision Medicine Natural Language Processing Antineoplastic Agents, Hormonal Humans Receptor, ErbB-2 Breast Neoplasms Electronic Health Records Gene Expression Regulation, Neoplastic Female
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The relationship between breast cancer treatment, tumour type and vitamin D level in pre- and postmenopausal women.

Neuro endocrinology letters Dec 1, 2017
OBJECTIVE: Vitamin D deficiency has been linked to a higher risk of cancer. There is insufficient data regarding the influence of treatment on vitamin D status. The aim of this study was to compare pre- and post-treatment levels of 25(OH)D in premeno...
Receptors, Progesterone Vitamin D Humans Female Postmenopause Receptors, Estrogen Breast Neoplasms Premenopause
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