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Medical Pathology Commons™

Open Access. Powered by Scholars. Published by Universities.®

2021

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Articles 61 - 62 of 62

Full-Text Articles in Medical Pathology

Effects Of Image Quantity And Image Source Variation On Machine Learning Histology Differential Diagnosis Models, Elham Vali-Betts, Kevin J Krause, Alanna Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth Beck, Aristotelis Tsirigos, Cynthia Loomis, Antonio Galvao Neto, Esther Adler, Hooman H Rashidi Jan 2021

Effects Of Image Quantity And Image Source Variation On Machine Learning Histology Differential Diagnosis Models, Elham Vali-Betts, Kevin J Krause, Alanna Dubrovsky, Kristin Olson, John Paul Graff, Anupam Mitra, Ananya Datta-Mitra, Kenneth Beck, Aristotelis Tsirigos, Cynthia Loomis, Antonio Galvao Neto, Esther Adler, Hooman H Rashidi

Faculty, Staff and Student Publications

Aims:

Histology, the microscopic study of normal tissues, is a crucial element of most medical curricula. Learning tools focused on histology are very important to learners who seek diagnostic competency within this important diagnostic arena. Recent developments in machine learning (ML) suggest that certain ML tools may be able to benefit this histology learning platform. Here, we aim to explore how one such tool based on a convolutional neural network, can be used to build a generalizable multi-classification model capable of classifying microscopic images of human tissue samples with the ultimate goal of providing a differential diagnosis (a list of …


The Bmal1/Hif2a Heterodimer Modulates Circadian Variations Of Myocardial Injury, Hui Li, Xinwei Kuang, Long Liang, Youqiong Ye, Yongchang Zhang, Jialu Li, Fangyu Ma, Juan Tao, Guang Lei, Shuang Zhao, Juan Su, Nong Yang, Cong Peng, Xiaowei Xu, Mien-Chie Hung, Leng Han, Hong Liu, Jing Liu, Xiang Chen Jan 2021

The Bmal1/Hif2a Heterodimer Modulates Circadian Variations Of Myocardial Injury, Hui Li, Xinwei Kuang, Long Liang, Youqiong Ye, Yongchang Zhang, Jialu Li, Fangyu Ma, Juan Tao, Guang Lei, Shuang Zhao, Juan Su, Nong Yang, Cong Peng, Xiaowei Xu, Mien-Chie Hung, Leng Han, Hong Liu, Jing Liu, Xiang Chen

Faculty, Staff and Student Publications

Immune checkpoints blockades have shown promising clinical effects in various malignancies, but the overall response rate is low. Here, the immune features are comprehensively characterized in >10 000 cancer patients from The Cancer Genome Atlas and significantly positive correlations are observed between targets of Sunitinib and inhibitory immune checkpoints and suppressive immune cells. It is further confirmed that Sunitinib treatment increases the antitumor immunity in a phase III trial. Mechanistically, it is discovered that Sunitinib regulates the stability of tumor PD‐L1 via p62, that p62 can bind to PD‐L1 and specifically promote its translocation into autophagic lysosome for degradation. Preclinically, …