McDaniel Bendsen (jumpletter5)

ation is critical to the design of complex care programs. Exploratory analyses of population criteria can provide useful information for program planning in the setting of limited resources for interventions. Data such as these should be generated as a key step in program design.A 46-year-old woman was type 1 diabetes diagnosed at the age of 9 who had previously been on an insulin pump. Other co-morbidities included CKD IV, HTN, and hypothyroidism. She presented with hyperglycemia of 400 mg/dl and fluid retention. Her GFR had decreased to 13. Her physical exam was notable for respiratory distress and anasarca. She failed to respond to aggressive IV diuresis and urgent hemodialysis was initiated. The patient had been lost to outpatient follow-up for a year. She had been co-managed by an endocrinologist and a primary care physician but had stopped going to her endocrinologist over a year ago due to inability to afford the co-pays. She subsequently lost her insurance and had to pay out of pocket for her insulin; at this point, she decided to stop seeing her PCP and began to ration her insulin. Due to social stigma, she did not mention her financial issues to her healthcare providers. After identifying these challenges, we decided to start her on a more affordable regimen of NPH insulin. Through social work assistance, we were able to obtain a charity hemodialysis chair and discharge her home. She applied to Medicaid. Healthcare expenditure with regard to diabetes rose to $327 billion from $245 billion in 2012. The price of insulin has continued to increase even after the drug's patent has expired due to the combination of FDA requirements, a monopoly in the insulin market, and the lack of federal price controls and Pharmacy Benefits Managers. The high out of pocket costs for insulin has led to many instances of insulin rationing among both uninsured and insured. This led to death in some cases as well as poorly controlled diabetes with increased complications and mortality as in our case. We present a case report and narrative review on insulin affordability.Age-related macular degeneration (AMD) is one of the leading causes of irreversible blindness and is characterized by fluid-related accumulations such as intra-retinal fluid (IRF), subretinal fluid (SRF), and pigment epithelial detachment (PED). Spectral-domain optical coherence tomography (SD-OCT) is the primary modality used to diagnose AMD, yet it does not have algorithms that directly detect and quantify the fluid. This work presents an improved convolutional neural network (CNN)-based architecture called RetFluidNet to segment three types of fluid abnormalities from SD-OCT images. The model assimilates different skip-connect operations and atrous spatial pyramid pooling (ASPP) to integrate multi-scale contextual information; thus, achieving the best performance. This work also investigates between consequential and comparatively inconsequential hyperparameters and skip-connect techniques for fluid segmentation from the SD-OCT image to indicate the starting choice for future related researches. RetFluidNet was trained and tested on SD-OCT images from 124 patients and achieved an accuracy of 80.05%, 92.74%, and 95.53% for IRF, PED, and SRF, respectively. RetFluidNet showed significant improvement over competitive works to be clinically applicable in reasonable accuracy and time efficiency. RetFluidNet is a fully automated method that can support early detection and follow-up of AMD.Cardiovascular diseases (CVDs) are the top ten leading causes of death worldwide. Atherosclerosis disease in the arteries is the main cause of the CVD, leading to myocardial infarction and stroke. The two primary image-based phenotypes used for monitoring the atherosclerosis burden is carotid intima-media thickness (cIMT) and plaque area (PA). click here Earlier segmentation and measurement methods were based on ad hoc conventional and semi-automated digital imaging solutions, which are unre