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Tingting Jiang

Researcher at Yale University

Publications -  36
Citations -  2016

Tingting Jiang is an academic researcher from Yale University. The author has contributed to research in topics: Breast cancer & Cancer. The author has an hindex of 17, co-authored 34 publications receiving 1331 citations. Previous affiliations of Tingting Jiang include Yale Cancer Center.

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DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

TL;DR: The predictive and modeling capabilities of DeepSurv will enable medical researchers to use deep neural networks as a tool in their exploration, understanding, and prediction of the effects of a patient’s characteristics on their risk of failure.
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DeepSurv: Personalized Treatment Recommender System Using A Cox Proportional Hazards Deep Neural Network

TL;DR: DeepSurv as discussed by the authors is a Cox proportional hazards deep neural network and state-of-the-art survival method for modeling interactions between a patient's covariates and treatment effectiveness in order to provide personalized treatment recommendations.
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Immune gene expression is associated with genomic aberrations in breast cancer

TL;DR: High immune gene expression and lower clonal heterogeneity in TNBC and HER2+ cancers suggest an immune pruning effect and equilibrium between immune surveillance and clonal expansion, and immune checkpoint inhibitors may tip the balance in favor of immune surveillance in these cancers.
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Association Between Genomic Metrics and Immune Infiltration in Triple-Negative Breast Cancer

TL;DR: This study suggests that immune-rich TNBCs may be under an immune surveillance that continuously eliminates many immunogenic clones, resulting in lower clonal heterogeneity and may also represent the subset of T NBCs that could derive benefit from immune checkpoint inhibitor therapy to tilt the balance in favor of the immune system.