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Deep learning-based survival prediction for multiple cancer types using histopathology images

PloS one, 2020-06, Vol.15 (6), p.e0233678-e0233678

2020

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Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

The American journal of surgical pathology, 2018-12, Vol.42 (12), p.1636-1646

2018

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MicroRNA-29 Regulates T-Box Transcription Factors and Interferon-γ Production in Helper T Cells

Immunity (Cambridge, Mass.), 2011-08, Vol.35 (2), p.169-181

2011

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MicroRNAs 24 and 27 Suppress Allergic Inflammation and Target a Network of Regulators of T Helper 2 Cell-Associated Cytokine Production

Immunity (Cambridge, Mass.), 2016-04, Vol.44 (4), p.821-832

2016

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Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

JAMA oncology, 2020-09, Vol.6 (9), p.1372

2020

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Interpretable survival prediction for colorectal cancer using deep learning

NPJ digital medicine, 2021-04, Vol.4 (1), p.71-71, Article 71

2021

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Distinct requirements of microRNAs in NK cell activation, survival, and function

The Journal of immunology (1950), 2010-10, Vol.185 (7), p.3835-3846

2010

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Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

Scientific reports, 2021-08, Vol.11 (1), p.16605-16605, Article 16605

2021

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Deep learning models for histologic grading of breast cancer and association with disease prognosis

NPJ breast cancer, 2022-10, Vol.8 (1), p.113-113, Article 113

2022

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Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

Radiology, 2020-02, Vol.294 (2), p.421-431

2020

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Closing the translation gap: AI applications in digital pathology

Biochimica et biophysica acta. Reviews on cancer, 2021-01, Vol.1875 (1), p.188452-188452, Article 188452

2021

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Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

Communications medicine, 2023-04, Vol.3 (1), p.59-59, Article 59

2023

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Prospective molecular classification of endometrial carcinomas: institutional implementation, practice, and clinical experience

Modern pathology, 2022-05, Vol.35 (5), p.688-696

2022

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Nhp6 Is a Transcriptional Initiation Fidelity Factor for RNA Polymerase III Transcription in Vitro and in Vivo

The Journal of biological chemistry, 2006-03, Vol.281 (11), p.7445-7451

2006

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Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer

Modern pathology, 2024-07, p.100573, Article 100573

2024

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Determining breast cancer biomarker status and associated morphological features using deep learning

Communications medicine, 2021-07, Vol.1 (1), p.14-14, Article 14

2021

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Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies

JAMA Network Open, 2020-11, Vol.3 (11), p.e2023267-e2023267

2020

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Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification

JAMA network open, 2023-03, Vol.6 (3), p.e2254891-e2254891

2023

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Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

Communications medicine, 2021-06, Vol.1 (1), p.10-10, Article 10

2021

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Pharma-Oncogenomics in the Era of Personal Genomics: A Quick Guide to Online Resources and Tools

Translational Research and Onco-Omics Applications in the Era of Cancer Personal Genomics, 2019, Vol.1168, p.103-115

2019

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Abstract 2096: A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer

Cancer research (Chicago, Ill.), 2020-08, Vol.80 (16_Supplement), p.2096-2096

2020

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Abstract 5357: Estrogen receptor gene expression prediction from H&E-stained whole slide images

Cancer research (Chicago, Ill.), 2023-04, Vol.83 (7_Supplement), p.5357-5357

2023

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MicroRNA-29 Regulates T-Box Transcription Factors and Interferon-[gamma] Production in Helper T Cells

Immunity (Cambridge, Mass.), 2011-08, Vol.35 (2), p.169

2011

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MicroRNA Regulation of Helper T Cell Cytokine Production and Differentiation

Steiner, David F

2012

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Hypertension care during the COVID‐19 pandemic in an integrated health care system

The journal of clinical hypertension (Greenwich, Conn.), 2023-04, Vol.25 (4), p.315-325

2023

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Deep learning-based survival prediction for multiple cancer types using histopathology images

Impact of Deep Learning Assistance on the Histopathologic Review of Lymph Nodes for Metastatic Breast Cancer

MicroRNA-29 Regulates T-Box Transcription Factors and Interferon-γ Production in Helper T Cells

MicroRNAs 24 and 27 Suppress Allergic Inflammation and Target a Network of Regulators of T Helper 2 Cell-Associated Cytokine Production

Development and Validation of a Deep Learning Algorithm for Gleason Grading of Prostate Cancer From Biopsy Specimens

Interpretable survival prediction for colorectal cancer using deep learning

Distinct requirements of microRNAs in NK cell activation, survival, and function

Comparative analysis of machine learning approaches to classify tumor mutation burden in lung adenocarcinoma using histopathology images

Deep learning models for histologic grading of breast cancer and association with disease prognosis

Chest Radiograph Interpretation with Deep Learning Models: Assessment with Radiologist-adjudicated Reference Standards and Population-adjusted Evaluation

Closing the translation gap: AI applications in digital pathology

Predicting lymph node metastasis from primary tumor histology and clinicopathologic factors in colorectal cancer using deep learning

Prospective molecular classification of endometrial carcinomas: institutional implementation, practice, and clinical experience

Nhp6 Is a Transcriptional Initiation Fidelity Factor for RNA Polymerase III Transcription in Vitro and in Vivo

Clinical-Grade Validation of an Autofluorescence Virtual Staining System with Human Experts and a Deep Learning System for Prostate Cancer

Determining breast cancer biomarker status and associated morphological features using deep learning

Evaluation of the Use of Combined Artificial Intelligence and Pathologist Assessment to Review and Grade Prostate Biopsies

Pathologist Validation of a Machine Learning-Derived Feature for Colon Cancer Risk Stratification

Predicting prostate cancer specific-mortality with artificial intelligence-based Gleason grading

Pharma-Oncogenomics in the Era of Personal Genomics: A Quick Guide to Online Resources and Tools

Abstract 2096: A deep learning system to predict disease-specific survival in stage II and stage III colorectal cancer

Abstract 5357: Estrogen receptor gene expression prediction from H&E-stained whole slide images

MicroRNA-29 Regulates T-Box Transcription Factors and Interferon-[gamma] Production in Helper T Cells

MicroRNA Regulation of Helper T Cell Cytokine Production and Differentiation

Hypertension care during the COVID‐19 pandemic in an integrated health care system

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