Does TP53 increase the sensitivity of CA125 in early detection of ovarian cancer?

https://openworks.mdanderson.org/sumexp22/1149/thumbnail.jp

Cellular interplay between cardiomyocytes and non-myocytes in diabetic cardiomyopathy

Patients with Type 2 diabetes mellitus (T2DM) frequently exhibit a distinctive cardiac phenotype known as diabetic cardiomyopathy. Cardiac complications associated with T2DM include cardiac inflammation, hypertrophy, fibrosis and diastolic dysfunction in the early stages of the disease, which can progress to systolic dysfunction and heart failure. Effective therapeutic options for diabetic cardiomyopathy are limited and often have conflicting results. The lack of effective treatments for diabetic cardiomyopathy is due in part, to our poor understanding of the disease development and progression, as well as a lack of robust and valid preclinical human models that can accurately recapitulate the pathophysiology of the human heart. In addition to cardiomyocytes, the heart contains a heterogeneous population of non-myocytes including fibroblasts, vascular cells, autonomic neurons and immune cells. These cardiac non-myocytes play important roles in cardiac homeostasis and disease, yet the effect of hyperglycaemia and hyperlipidaemia on these cell types are often overlooked in preclinical models of diabetic cardiomyopathy. The advent of human induced pluripotent stem cells provides a new paradigm in which to model diabetic cardiomyopathy as they can be differentiated into all cell types in the human heart. This review will discuss the roles of cardiac non-myocytes and their dynamic intercellular interactions in the pathogenesis of diabetic cardiomyopathy. We will also discuss the use of sodium-glucose cotransporter 2 inhibitors as a therapy for diabetic cardiomyopathy and their known impacts on non-myocytes. These developments will no doubt facilitate the discovery of novel treatment targets for preventing the onset and progression of diabetic cardiomyopathy

Attitude-driven decision making for multi-agent team formation in open and dynamic environments

textMulti-agent systems are applied to distributed problem-solving applications because of their ability to overcome the limitations that individual agents face when solving complex problems. Large numbers of agents acting as problem-solvers on networks suggest a virtual marketplace. In this marketplace, groups of self-interested agents can interact to solve highly constrained and distributed problems by assuming varying roles and forming “temporary teams”. This dissertation presents a decision making mechanism for multi-agent team formation between self-interested agents in a competitive, open and dynamic environment. An agent perceives environmental uncertainties, and models those uncertainties into simplified categories such as risks and benefits. The dissertation further demonstrates how an agent’s attitudes shape how risk and rewards are weighted when making decisions among multiple alternatives. Accordingly, agent-borne attitudes toward proactive behavior, risk, reward, and urgency are proposed as the basis of the proposed team formation mechanism. Finally, a learning technique assists an agent in continuously learning what attitudes it needs in order to adapt to dynamic environments and increase its resulting rewards.Electrical and Computer Engineerin

Community Healthcare Delivery Post-Hurricane Sandy: Lessons from a Mobile Health Unit

In the aftermath of Hurricane Sandy the North Shore LIJ Health System (NS-LIJ HS) organized and launched its first mobile health unit (MHU) operation to some of New York\u27s hardest hit communities including Queens County and Long Island, NY. This document describes the initiation, operational strategies, outcomes and challenges of the NS-LIJ HS community relief effort using a MHU. The operation was divided into four phases: (1) community needs assessment, (2) MHU preparation, (3) staff recruitment and (4) program evaluation and feedback. From November 16th through March 21st, 2013 the Health System launched the MHU over 64 days serving 1,160 individuals with an age range of 3 months to 91 years. Vaccination requests were the most commonly encountered issue, and the most common complaint was upper respiratory illness. The MHU is an effective resource for delivering healthcare to displaced individuals in the aftermath of natural disaster. Future directions include the provision of psychosocial services, evaluating strategies for timely retreat of the unit and methods for effective transitions of care

Diane L. SchallertMinding the Verge: Moderating Webcasts+Chat in a Multi-Section Online Undergraduate Course

This work is dedicated with loving remembrance to my parents