10 research outputs found
Intermittent Control for Safe Long-Acting Insulin Intensification for Type 2 Diabetes: In-Silico Experiment
Around a third of type 2 diabetes patients (T2D) are escalated to basal
insulin injections. Basal insulin dose is titrated to achieve a tight glycemic
target without undue hypoglycemic risk. In the standard of care (SoC),
titration is based on intermittent fasting blood glucose (FBG) measurements.
Lack of adherence and the day-to-day variabilities in FBG measurements are
limiting factors to the existing insulin titration procedure. We propose an
adaptive receding horizon control strategy where a glucose-insulin fasting
model is identified and used to predict the optimal basal insulin dose. This
algorithm is evaluated in \textit{in-silico} experiments using the new UVA
virtual lab (UVlab) and a set of T2D avatars matched to clinical data
(NCT01336023). Compared to SoC, we show that this control strategy can achieve
the same glucose targets faster (as soon as week 8) and safer (increased
hypoglycemia protection and robustness to missing FBG measurements).
Specifically, when insulin is titrated daily, a time-in-range (TIR, 70--180
mg/dL) of 71.420.0\% can be achieved at week eight and maintained at week
52 (72.619.6%) without an increased hypoglycemia risk as measured by time
under 70 mg/dL (TBR, week 8: 1.31.9% and week 52: 1.21.9%), when
compared to the SoC (TIR at week 8: 59.328.0% and week:52 72.122.3%,
TBR at week 8: 0.51.3% and week 52: 2.83.4%). Such an approach can
potentially reduce treatment inertia and prescription complexity, resulting in
improved glycemic outcomes for T2D using basal insulin injections.Comment: 6 pages, 2 figures, conferenc
The Contribution of Physical Activity in Blood Glucose Concentration for People with Type 1 Diabetes
Closed-loop control with unannounced exercise for adults with type 1 diabetes using the Ensemble Model Predictive Control
Evaluation of two strategies NMPC into HIL applied to the operation of an internal combustion engine
The hardware in the loop (HIL) platforms constitute an accelerated engineering design medium that subsequently reduces the risk of failure in the implementation process. This fact is enhanced when the designer is faced with extremely complex tasks and when design errors can lead to destructive and costly testing. The design of complex algorithms such as non-linear controllers applied to electronic control units of combustion engines, is a task of higher complexity level, and tests with incorrectly adjusted drivers can result in engine breakdown. This document reports the performance and effectiveness of a two-HIL scheme as an interactive design platform used for the design of electronic control units ECU, for internal combustion engines. The implementation and adjustment of two NMPC strategies aimed at optimizing the operation of the engine from three fronts: energetic, economic and environmental, involving independent and simultaneous objectives, give an account of the usefulness of the interactive design scheme. © 2017, Springer-Verlag France
Extending the phenotypes associated with TRIO gene variants in a cohort of 25 patients and review of the literature
The TRIO gene encodes a rho guanine exchange factor, the function of which is to exchange GDP to GTP, and hence to activate Rho GTPases, and has been described to impact neurodevelopment. Specific genotype-to-phenotype correlations have been established previously describing striking differentiating features seen in variants located in specific domains of the TRIO gene that are associated with opposite effects on RAC1 activity. Currently, 32 cases with a TRIO gene alteration have been published in the medical literature. Here, we report an additional 25, previously unreported individuals who possess heterozygous TRIO variants and we review the literature. In addition, functional studies were performed on the c.4394A > G (N1465S) and c.6244-2A > G TRIO variants to provide evidence for their pathogenicity. Variants reported by the current study include missense variants, truncating nonsense variants, and an intragenic deletion. Clinical features were previously described and included developmental delay, learning difficulties, microcephaly, macrocephaly, seizures, behavioral issues (aggression, stereotypies), skeletal problems including short, tapering fingers and scoliosis, dental problems (overcrowding/delayed eruption), and variable facial features. Here, we report clinical features that have not been described previously, including specific structural brain malformations such as abnormalities of the corpus callosum and ventriculomegaly, additional psychological and dental issues along with a more recognizable facial gestalt linked to the specific domains of the TRIO gene and the effect of the variant upon the function of the encoded protein. This current study further strengthens the genotype-to-phenotype correlation that was previously established and extends the range of phenotypes to include structural brain abnormalities, additional skeletal, dental, and psychiatric issues.</p