Publications by authors named "Monica Ou"

Rationale: Paradigm shifting studies have revealed that the heart contains functionally diverse populations of macrophages derived from distinct embryonic and adult hematopoietic progenitors. Under steady-state conditions, the heart is largely populated by CCR2- (C-C chemokine receptor type 2) macrophages of embryonic descent. After tissue injury, a dramatic shift in macrophage composition occurs whereby CCR2+ monocytes are recruited to the heart and differentiate into inflammatory CCR2+ macrophages that contribute to heart failure progression.

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Despite the significant therapeutic advances achieved with proteasome inhibitors (PIs) such as bortezomib and carfilzomib in prolonging the survival of patients with multiple myeloma, the development of drug resistance, peripheral neuropathy, and pharmacokinetic limitations continue to pose major challenges when using these compounds. Ixazomib is a second-generation PI with improved activity over other PIs. Unlike bortezomib and carfilzomib, which are administered by injection, ixazomib is the first oral PI approved by US Food and Drug Administration.

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Objective: This paper describes the Web-based decision support system (TELEDERM) that provides medical services to rural and remote general practitioners (GPs), and presents qualitative results on the usefulness and usability of the system obtained from trials in the GoldFields, Western Australia.

Methods: Diagnostic methods and other functions were developed to assist medical practitioners, who may not be familiar with aspects of decision support systems, to diagnose patients with dermatological problems. GPs in rural and remote areas took part in a trial to assess the usefulness of TELEDERM in clinical situations.

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Objective: Case-based reasoning has been of great importance in the development of many decision support applications. However, relatively little effort has gone into investigating how new knowledge can be validated. Knowledge validation is important in dealing with imperfect data collected over time, because inconsistencies in data do occur and adversely affect the performance of a diagnostic system.

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