33 research outputs found

    INERTIA AND RELATIVE SMOOTHNESS IN NONCONVEX MINIMIZATION: A CASE STUDY ON THE FORWARD-REFLECTED-BACKWARD ALGORITHM

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    The use of momentum to accelerate convergence of first-order algorithms has been gaining renewed interest ever since its first appearance 60 years back. Initially inspired by the physics intuition that inertia is effective in preventing oscillatory behaviors, momentum-type techniques are typically designed in attempt to improve convergence speed. While this effect can only be achieved and justified for positive momentum coefficients, our study on the forward-reflected-backward splitting of Malitsky and Tam suggests the necessity of "negative" values to guarantee convergence under mere relative smoothness assumptions, for nonconvex problems. Our conclusions are in line with, and more pessimistic than, a similar conjecture of Dragomir et al. for the mirror descent algorithm.Motivations / Adding inertia to safeguard steps / A “loose” Lyapunov function / Conclusion

    Mining multi-site clinical data to develop machine learning MRI biomarkers: application to neonatal hypoxic ischemic encephalopathy

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    BACKGROUND: Secondary and retrospective use of hospital-hosted clinical data provides a time- and cost-efficient alternative to prospective clinical trials for biomarker development. This study aims to create a retrospective clinical dataset of Magnetic Resonance Images (MRI) and clinical records of neonatal hypoxic ischemic encephalopathy (HIE), from which clinically-relevant analytic algorithms can be developed for MRI-based HIE lesion detection and outcome prediction. METHODS: This retrospective study will use clinical registries and big data informatics tools to build a multi-site dataset that contains structural and diffusion MRI, clinical information including hospital course, short-term outcomes (during infancy), and long-term outcomes (~ 2 years of age) for at least 300 patients from multiple hospitals. DISCUSSION: Within machine learning frameworks, we will test whether the quantified deviation from our recently-developed normative brain atlases can detect abnormal regions and predict outcomes for individual patients as accurately as, or even more accurately, than human experts

    Breast Cancer Stem Cells Are Regulated by Mesenchymal Stem Cells through Cytokine Networks

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    International audienceWe have used in vitro and mouse xenograft models to examine the interaction between breast cancer stem cells (CSC) and bone marrow-derived mesenchymal stem cells (MSC). We show that both of these cell populations are organized in a cellular hierarchy in which primitive aldehyde dehydrogenase expressing mesenchymal cells regulate breast CSCs through cytokine loops involving IL6 and CXCL7. In NOD/SCID mice, labeled MSCs introduced into the tibia traffic to sites of growing breast tumor xenografts where they accelerated tumor growth by increasing the breast CSC population. With immunochemistry, we identified MSC-CSC niches in these tumor xenografts as well as in frozen sections from primary human breast cancers. Bone marrow-derived MSCs may accelerate human breast tumor growth by generating cytokine networks that regulate the CSC population. Cancer Res; 71(2); 614-24. (C) 2011 AACR

    Fontan-associated liver disease after heart transplant

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    BackgroundFontan associated liver disease (FALD) potentially impacts Fontan patients undergoing heart transplant. This multi-center study sought to identify pre-transplant risk factors and characterize any post-transplant liver recovery in those patients undergoing heart-alone transplant.MethodsReview of Fontan patients at 12 pediatric institutions who underwent heart transplant between 2001-2019. Radiologists reviewed pre and post-transplant liver imaging for fibrosis. Laboratory, pathology and endoscopy studies were reviewed.Results156 patients underwent transplant due to decreased ventricular function (49%), protein losing enteropathy (31%) or plastic bronchitis (10%); median age at transplant was 13.6 years (interquartile range IQR 7.8, 17.2) with a median of 9.3 years (IQR 3.2, 13.4) between the Fontan operation and transplant. Few patients had pre-transplant endoscopy (18%), and liver biopsy (19%). There were 31 deaths (20%). The median time from transplant to death was 0.5 years (95% Confidence Interval CI 0.0, 3.6). The five-year survival was 73% (95% CI 64%, 83%). Deaths were related to cardiac causes in 68% (21/31) and infection in 6 (19%). A pre-transplant elevation in bilirubin was a predictor of death. Higher platelet levels were protective. Immediate post-transplant elevations in creatinine, AST, ALT, and INR were predictive of death. Advanced liver fibrosis identified on ultrasound, computed tomography, or magnetic resonance imaging was not predictive of death. Liver imaging suggested some improvement in liver congestion post-transplant.ConclusionsElevated bilirubin, but not fibrosis on liver imaging, was associated with post-heart transplant mortality in Fontan patients in this multicenter retrospective study. Additionally, heart transplant may alter the progression of FALD.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/175868/1/petr14435_am.pdfhttp://deepblue.lib.umich.edu/bitstream/2027.42/175868/2/petr14435.pd
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