Diabetes mellitus is a disease that can be difficult to manage and requires high levels of health literacy and numeracy, selfmonitoring and frequent contact with clinicians. If not optimally controlled, diabetes can lead to kidney failure, blindness and cardiovascular complications, which, in turn, contribute to increasing healthcare costs. Although not yet widely used, mobile health (mHealth) tools have enhanced diabetes management and prevention and are likely to play an increasing role with the growth of smartphone ownership and medical device innovations. Recent mHealth interventions targeting type 1 and type 2 diabetes are diverse in their goals and components, and include insulin management applications, wearable blood glucose meters, automated text messages, health diaries and virtual health coaching. In this paper, we review the modalities and components of various impactful interventions for insulin management, diabetes education, self-management and prevention. More work is needed to investigate how individual demographic, socioeconomic, behavioural and clinical characteristics contribute to patient engagement and the efficacy of mHealth tools for diabetes.

There is an increasing interest in using single nucleotide polymorphism (SNP) genotyping arrays for profiling chromosomal rearrangements in tumors, as they allow simultaneous detection of copy number and loss of heterozygosity with high resolution. Critical issues such as signal baseline shift due to aneuploidy, normal cell contamination, and the presence of GC content bias have been reported to dramatically alter SNP array signals and complicate accurate identification of aberrations in cancer genomes. To address these issues, we propose a novel Global Parameter Hidden Markov Model (GPHMM) to unravel tangled genotyping data generated from tumor samples. In contrast to other HMM methods, a distinct feature of GPHMM is that the issues mentioned above are quantitatively modeled by global parameters and integrated within the statistical framework. We developed an efficient EM algorithm for parameter estimation. We evaluated performance on three data sets and show that GPHMM can correctly identify chromosomal aberrations in tumor samples containing as few as 10% cancer cells. Furthermore, we demonstrated that the estimation of global parameters in GPHMM provides information about the biological characteristics of tumor samples and the quality of genotyping signal from SNP array experiments, which is helpful for data quality control and outlier detection in cohort studies.

Despite continued advances in health care, the cardiovascular disease (CVD) mortality rate has plateaued in recent years and appears to be trending upward. Poor diet is a leading cause of obesity and type 2 diabetes mellitus, which are leading contributors to CVD morbidity and mortality. Although dietary modification is a cornerstone of CVD prevention, implementation in clinical practice is limited by inadequate formal training in nutrition science. In this report, we review the individual components of a heart-healthy diet, evidence-based dietary recommendations, and the impact of diet on CVD risk factor prevention and management. Furthermore, we examine the unique difficulties of dietary counseling in low-socioeconomic-status environments and provide an evidence-based approach to better serve these populations. We utilized PubMed searches in adults with no date restriction with the following search terms: "carbohydrate," "fat," protein," "DASH," "Mediterranean," "plant-based," "vegetarian," "cardiovascular disease," "obesity," "weight loss," "diabetes," "socioeconomic status," and "race." In this review, we demonstrate that patients should focus on implementing a general diet plan that is high in fruits, whole grains, legumes, and nonstarchy vegetables while low in trans-fats, saturated fats, sodium, red meat, refined carbohydrates, and sugar-sweetened beverages. The Dietary Approaches to Stop Hypertension, Mediterranean, and vegetarian diets have the most evidence for CVD prevention. Clinicians should understand the barriers that patients may face in terms of access to healthy dietary choices. Further research is needed to determine the dietary changes that are most economically, socioculturally, and logistically feasible to reduce these barriers. Improvement in diet is a public health priority that can lead to a significant population-level reduction in CVD morbidity and mortality. It is imperative that clinicians understand current dietary practice guidelines and implement evidence-based dietary counseling in those at high risk for CVD.