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Mobile health, digital tools and decision support systems can help to increase accurate, timely insulin dosing and insulin titration and holds the potential to improve glycemic control to a wide range of individuals with diabetes. The emerging mobile toolbox for insulin dosing adjustments that will be reviewed in this paper includes insulin management Apps; diverse range of Apps to guide insulin adjustments such as in times of physical activity and eating; data management systems which enable visualization and analysis of insulin and glucose data of various devices; real-time alarms and glucose prediction Apps that help to prevent hypoglycemia and hyperglycemia events; various bolus calculators for meal time dosing; sophisticated decision support algorithms for people using insulin pump, multiple insulin injections and closed loop systems for real-time and retrospective insulin dosing adjustments. Copyright© of YS Medical Media ltd.Almost a century ago, the first insulin was produced by Banting, Best, MacLeod and Collip in Toronto, thereby enabling life-saving treatment for people with diabetes. Since then, there have been many advancements in insulin production and development of new insulin analogues. In this article, we reflect on the rich heritage of Sanofi and its predecessor, Hoechst, in insulin production and development, from being one of the first companies to produce insulin in Europe in 1923, to modern-day insulin analogues and integrated care solutions at present-day Sanofi. Copyright© of YS Medical Media ltd.Eli Lilly and Company has played a pivotal role in the development of insulin products since its discovery in 1921. Through their dedication to pharmaceutical innovation, Josiah K. Lilly Sr. and George HA Clowes, in close collaborations with the University of Toronto, made insulin commercially available in 1923. Other innovations include the development and commercialization of the first biosynthetic human insulin, a rapid-acting insulin analog and analog mixtures. Lilly has advanced the field of knowledge with significant efforts toward developing a hepatic preferential basal insulin. Other important insulin projects include the first concentrated rapid-acting insulin analog, clinical studies supporting the use of highly concentrated human insulin, and an advanced clinical development program for an ultra-rapid insulin analog. Lilly's commitment to people affected with diabetes remains strong and will continue into the future through collaborative research, innovative product development and investing in advanced technologies. Copyright© of YS Medical Media ltd.The isolation and purification of insulin nearly 100 years ago has been one of the most ground-breaking discoveries in the history of medicine. Subsequent determination of the specific structure of human insulin has permitted further developments and modifications of the formulations of insulin to allow improved quality of care and quality of life for patients with diabetes. In this paper, we will review insulin structure and biosynthesis, treatment and prognosis of type 1 diabetes prior to insulin therapy, experimentation leading to the discovery of insulin, and the first patients to be treated with insulin. Copyright© of YS Medical Media ltd.Schizophrenia, bipolar disorder, and related psychotic illnesses are common, serious mental disorders that are often associated with functional impairments and poor quality of life, even after clinical recovery. Cognitive dysfunction is a strong predictor of functional impairment; however, findings regarding relative impairments in functioning and cognition across diagnoses have been mixed, as have reports of the contribution of clinical symptoms and other illness features to functioning across diagnostic boundaries. We assessed 211 patients with psychotic disorders and 87 healthy controls using the MATRICS Consensus Cognitive Battery, clinical measures of state mood and psychotic symptoms, and an interview measure of community functioning. Diagnostic groups were compared on MATRICS composite and domain scores, and clinical and functional measures. We then examined cognitive, clinical, and demographic predictors of community functioning using stepwise hierarchical linear regression. All three patient groups emunity functioning for patients across diagnoses. Cremophor EL concentration © 2020 The Institute of Psychology, Chinese Academy of Sciences and John Wiley & Sons Australia, Ltd.Epithelial to mesenchymal transition (EMT) is a complex biological process that plays a key role in cancer progression and metastasis formation. Its activation results in epithelial cells losing adhesion and polarity and becoming capable of migrating from their site of origin. At this step the disease is generally considered incurable. As EMT execution involves several individual molecular components, connected by nontrivial relations, in vitro techniques are often inadequate to capture its complexity. Computational models can be used to complement experiments and provide additional knowledge difficult to build up in a wetlab. Indeed in silico analysis gives the user total control on the system, allowing to identify the contribution of each independent element. In the following, two kinds of approaches to the computational study of EMT will be presented. The first relies on signal transduction networks description and details how changes in gene expression could influence this process, both focusing on specific aspects of the EMT and providing a general frame for this phenomenon easily comparable with experimental data. The second integrates single cell and population level descriptions in a multiscale model that can be considered a more accurate representation of the EMT. The advantages and disadvantages of each approach will be highlighted, together with the importance of coupling computational and experimental results. Finally, the main challenges that need to be addressed to improve our knowledge of the role of EMT in the neoplastic disease and the scientific and translational value of computational models in this respect will be presented. This article is categorized under Analytical and Computational Methods > Computational Methods. © 2020 Wiley Periodicals, Inc.