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Reviews on recent clinical trials, 2021-02, Vol.16 (1), p.1-1

Fu, Pingfu

2021

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Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non-Small Cell Lung Cancer

Clinical cancer research, 2019-03, Vol.25 (5), p.1526-1534

2019

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Analysis of the rising incidence of thyroid cancer using the Surveillance, Epidemiology and End Results national cancer data registry

Surgery, 2010-12, Vol.148 (6), p.1147-1153

2010

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Adherence to surgical care improvement project measures and the association with postoperative infections

JAMA : the journal of the American Medical Association, 2010-06, Vol.303 (24), p.2479

2010

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Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

Scientific reports, 2017-10, Vol.7 (1), p.13543-10, Article 13543

2017

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Suppression of NF-κB and NF-κB-Regulated Gene Expression by Apigenin through IκBα and IKK Pathway in TRAMP Mice

PloS one, 2015-09, Vol.10 (9), p.e0138710

2015

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Prospective evaluation of dermatologic surgery complications including patients on multiple antiplatelet and anticoagulant medications

Journal of the American Academy of Dermatology, 2011-09, Vol.65 (3), p.576-583

2011

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Reciprocal expression of INSM1 and YAP1 defines subgroups in small cell lung cancer

Oncotarget, 2017-09, Vol.8 (43), p.73745-73756

2017

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An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study

The Lancet. Digital health, 2021-07, Vol.3 (7), p.e445-e454

2021

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CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

The Lancet. Digital health, 2020-03, Vol.2 (3), p.e116-e128

2020

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MUC1 is expressed at high frequency in early-stage basal-like triple-negative breast cancer

Human pathology, 2013-10, Vol.44 (10), p.2159-2166

2013

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T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology

European radiology, 2021-03, Vol.31 (3), p.1336-1346

2021

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RICTOR amplification identifies a subgroup in small cell lung cancer and predicts response to drugs targeting mTOR

Oncotarget, 2017-01, Vol.8 (4), p.5992-6002

2017

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Activation of PI3K‐Akt signaling pathway promotes prostate cancer cell invasion

International journal of cancer, 2007-10, Vol.121 (7), p.1424-1432

2007

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Apigenin Attenuates Insulin-Like Growth Factor-I Signaling in an Autochthonous Mouse Prostate Cancer Model

Pharmaceutical research, 2012-06, Vol.29 (6), p.1506-1517

2012

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Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

PloS one, 2018-08, Vol.13 (8), p.e0200730-e0200730

2018

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Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Scientific reports, 2024-05, Vol.14 (1), p.11134-11134, Article 11134

2024

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Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

Radiology. Artificial intelligence, 2019-03, Vol.1 (2), p.e180012-e180012

2019

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Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer

Frontiers in oncology, 2021-10, Vol.11, p.744724-744724

2021

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Uracil-DNA glycosylase expression determines human lung cancer cell sensitivity to pemetrexed

Molecular cancer therapeutics, 2013-10, Vol.12 (10), p.2248-2260

2013

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Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study

IEEE journal of biomedical and health informatics, 2021-11, Vol.25 (11), p.4110-4118

2021

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Kangaroo Care modifies preterm infant heart rate variability in response to heel stick pain: Pilot study

Early human development, 2009-09, Vol.85 (9), p.561-567

2009

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Five-year survival does not equal cure in non–small cell lung cancer: A Surveillance, Epidemiology, and End Results–based analysis of variables affecting 10- to 18-year survival

The Journal of thoracic and cardiovascular surgery, 2012-06, Vol.143 (6), p.1307-1313

2012

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Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab

Journal for immunotherapy of cancer, 2022-03, Vol.10 (3), p.e003778

2022

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Aggressive lymphoma subtype is a risk factor for venous thrombosis. Development of lymphoma ‐ specific venous thrombosis prediction models

American journal of hematology, 2020-08, Vol.95 (8), p.918-926

2020

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Meet Our Regional Editor

Spatial Architecture and Arrangement of Tumor-Infiltrating Lymphocytes for Predicting Likelihood of Recurrence in Early-Stage Non-Small Cell Lung Cancer

Analysis of the rising incidence of thyroid cancer using the Surveillance, Epidemiology and End Results national cancer data registry

Adherence to surgical care improvement project measures and the association with postoperative infections

Prediction of recurrence in early stage non-small cell lung cancer using computer extracted nuclear features from digital H&E images

Suppression of NF-κB and NF-κB-Regulated Gene Expression by Apigenin through IκBα and IKK Pathway in TRAMP Mice

Prospective evaluation of dermatologic surgery complications including patients on multiple antiplatelet and anticoagulant medications

Reciprocal expression of INSM1 and YAP1 defines subgroups in small cell lung cancer

An integrated nomogram combining deep learning, Prostate Imaging–Reporting and Data System (PI-RADS) scoring, and clinical variables for identification of clinically significant prostate cancer on biparametric MRI: a retrospective multicentre study

CT derived radiomic score for predicting the added benefit of adjuvant chemotherapy following surgery in stage I, II resectable non-small cell lung cancer: a retrospective multicohort study for outcome prediction

MUC1 is expressed at high frequency in early-stage basal-like triple-negative breast cancer

T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning–derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology

RICTOR amplification identifies a subgroup in small cell lung cancer and predicts response to drugs targeting mTOR

Activation of PI3K‐Akt signaling pathway promotes prostate cancer cell invasion

Apigenin Attenuates Insulin-Like Growth Factor-I Signaling in an Autochthonous Mouse Prostate Cancer Model

Identifying the morphologic basis for radiomic features in distinguishing different Gleason grades of prostate cancer on MRI: Preliminary findings

Enhancing cardiovascular risk prediction through AI-enabled calcium-omics

Combination of Peri- and Intratumoral Radiomic Features on Baseline CT Scans Predicts Response to Chemotherapy in Lung Adenocarcinoma

Novel Non-Invasive Radiomic Signature on CT Scans Predicts Response to Platinum-Based Chemotherapy and Is Prognostic of Overall Survival in Small Cell Lung Cancer

Uracil-DNA glycosylase expression determines human lung cancer cell sensitivity to pemetrexed

Integrated Clinical and CT Based Artificial Intelligence Nomogram for Predicting Severity and Need for Ventilator Support in COVID-19 Patients: A Multi-Site Study

Kangaroo Care modifies preterm infant heart rate variability in response to heel stick pain: Pilot study

Five-year survival does not equal cure in non–small cell lung cancer: A Surveillance, Epidemiology, and End Results–based analysis of variables affecting 10- to 18-year survival

Novel imaging biomarkers predict outcomes in stage III unresectable non-small cell lung cancer treated with chemoradiation and durvalumab

Aggressive lymphoma subtype is a risk factor for venous thrombosis. Development of lymphoma ‐ specific venous thrombosis prediction models

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