يعرض 1 - 10 نتائج من 676 نتيجة بحث عن '"Facchinetti Andrea"', وقت الاستعلام: 0.88s تنقيح النتائج
  1. 1
    دورية أكاديمية

    المصدر: BMC Bioinformatics, Vol 13, Iss Suppl 4, p S14 (2012)

    الوصف: Abstract Background Predicting protein function has become increasingly demanding in the era of next generation sequencing technology. The task to assign a curator-reviewed function to every single sequence is impracticable. Bioinformatics tools, easy to use and able to provide automatic and reliable annotations at a genomic scale, are necessary and urgent. In this scenario, the Gene Ontology has provided the means to standardize the annotation classification with a structured vocabulary which can be easily exploited by computational methods. Results Argot2 is a web-based function prediction tool able to annotate nucleic or protein sequences from small datasets up to entire genomes. It accepts as input a list of sequences in FASTA format, which are processed using BLAST and HMMER searches vs UniProKB and Pfam databases respectively; these sequences are then annotated with GO terms retrieved from the UniProtKB-GOA database and the terms are weighted using the e-values from BLAST and HMMER. The weighted GO terms are processed according to both their semantic similarity relations described by the Gene Ontology and their associated score. The algorithm is based on the original idea developed in a previous tool called Argot. The entire engine has been completely rewritten to improve both accuracy and computational efficiency, thus allowing for the annotation of complete genomes. Conclusions The revised algorithm has been already employed and successfully tested during in-house genome projects of grape and apple, and has proven to have a high precision and recall in all our benchmark conditions. It has also been successfully compared with Blast2GO, one of the methods most commonly employed for sequence annotation. The server is freely accessible at http://www.medcomp.medicina.unipd.it/Argot2Test.

    وصف الملف: electronic resource

  2. 2
    دورية أكاديمية

    المصدر: Farrell , C , McNeilly , A , Hapca , S , Fournier , P , Jones , T , Facchinetti , A , Cappon , G , West , D & McCrimmon , R J 2024 , ' High Intensity Interval Training As A Novel Treatment For Impaired Awareness Of Hypoglycaemia In People With Type 1 Diabetes (Hit4hypos) : a randomised parallel-group study ' , Diabetologia , vol. 67 , pp. 392-402 . https://doi.org/10.1007/s00125-023-06051-xTest

    الوصف: Aims/hypothesis : Impaired awareness of hypoglycaemia (IAH) in type 1 diabetes may develop through a process referred to as habituation. Consistent with this, a single bout of high intensity interval exercise as a novel stress stimulus improves counterregulatory responses (CRR) to next-day hypoglycaemia, referred to as dishabituation. This longitudinal pilot study investigated whether 4 weeks of high intensity interval training (HIIT) has sustained effects on counterregulatory and symptom responses to hypoglycaemia in adults with type 1 diabetes and IAH. Methods : HIT4HYPOS was a single-centre, randomised, parallel-group study. Participants were identified using the Scottish Diabetes Research Network (SDRN) and from diabetes outpatient clinics in NHS Tayside, UK. The study took place at the Clinical Research Centre, Ninewells Hospital and Medical School, Dundee, UK. Participants were aged 18–55 years with type 1 diabetes of at least 5 years’ duration and HbA 1c levels <75 mmol/mol (<9%). They had IAH confirmed by a Gold score ≥4, modified Clarke score ≥4 or Dose Adjustment For Normal Eating [DAFNE] hypoglycaemia awareness rating of 2 or 3, and/or evidence of recurrent hypoglycaemia on flash glucose monitoring. Participants were randomly allocated using a web-based system to either 4 weeks of real-time continuous glucose monitoring (RT-CGM) or RT-CGM+HIIT. Participants and investigators were not masked to group assignment. The HIIT programme was performed for 20 min on a stationary exercise bike three times a week. Hyperinsulinaemic–hypoglycaemic (2.5 mmol/l) clamp studies with assessment of symptoms, hormones and cognitive function were performed at baseline and after 4 weeks of the study intervention. The predefined primary outcome was the difference in hypoglycaemia-induced adrenaline (epinephrine) responses from baseline following RT-CGM or RT-CGM+HIIT. Results : Eighteen participants (nine men and nine women) with type 1 diabetes (median [IQR] duration 27 [18.75–32] years) and IAH were included, with ...

    وصف الملف: application/pdf

  3. 3
    دورية أكاديمية
  4. 4
    دورية أكاديمية

    المساهمون: European Union's Research and Innovation, Juvenile Diabetes Research Foundation United States of America, Horizon 2020, European Federation of Pharmaceutical Industries and Associations, Innovative Medicines Initiative, Leona M. and Harry B. Helmsley Charitable Trust, International Diabetes Federation

    المصدر: Computer Methods and Programs in Biomedicine ; volume 244, page 107943 ; ISSN 0169-2607

    مصطلحات موضوعية: Health Informatics, Computer Science Applications, Software

  5. 5
    دورية أكاديمية

    المصدر: Journal of NeuroEngineering and Rehabilitation, Vol 6, Iss 1, p 37 (2009)

    الوصف: Abstract Background The prevalence of diabetes mellitus has reached epidemic proportions, this condition may result in multiple and chronic invalidating long term complications. Among these, the diabetic foot, is determined by the simultaneous presence of both peripheral neuropathy and vasculopathy that alter the biomechanics of the foot with the formation of callosity and ulcerations. To diagnose and treat the diabetic foot is crucial to understand the foot complex kinematics. Most of gait analysis protocols represent the entire foot as a rigid body connected to the shank. Nevertheless the existing multisegment models cannot completely decipher the impairments associated with the diabetic foot. Methods A four segment foot and ankle model for assessing the kinematics of the diabetic foot was developed. Ten normal subjects and 10 diabetics gait patterns were collected and major sources of variability were tested. Repeatability analysis was performed both on a normal and on a diabetic subject. Direct skin marker placement was chosen in correspondence of 13 anatomical landmarks and an optoelectronic system was used to collect the data. Results Joint rotation normative bands (mean plus/minus one standard deviation) were generated using the data of the control group. Three representative strides per subject were selected. The repeatability analysis on normal and pathological subjects results have been compared with literature and found comparable. Normal and pathological gait have been compared and showed major statistically significant differences in the forefoot and midfoot dorsi-plantarflexion. Conclusion Even though various biomechanical models have been developed so far to study the properties and behaviour of the foot, the present study focuses on developing a methodology for the functional assessment of the foot-ankle complex and for the definition of a functional model of the diabetic neuropathic foot. It is, of course, important to evaluate the major sources of variation (true variation in the subject's gait and artefacts from the measurement procedure). The repeatability of the protocol was therefore examined, and results showed the suitability of this method both on normal and pathological subjects. Comparison between normal and pathological kinematics analysis confirmed the validity of a similar approach in order to assess neuropathics biomechanics impairment.

    وصف الملف: electronic resource

  6. 6
    دورية أكاديمية

    المساهمون: Noaro, Giulia, Zhu, Taiyu, Cappon, Giacomo, Facchinetti, Andrea, Georgiou, Pantelis

    الوصف: Mealtime insulin dosing is a major challenge for people living with type 1 diabetes (T1D). This task is typically performed using a standard formula that, despite containing some patient-specific parameters, often leads to sub-optimal glucose control due to lack of personalization and adaptation. To overcome the previous limitations here we propose an individualized and adaptive mealtime insulin bolus calculator based on double deep Q-learning (DDQ), which is tailored to the patient thanks to a personalization procedure relying on a two-step learning framework. The DDQ-learning bolus calculator was developed and tested using the UVA/Padova T1D simulator modified to reliably mimic real-world scenarios by introducing multiple variability sources impacting glucose metabolism and technology. The learning phase included a long-term training of eight sub-population models, one for each representative subject, selected thanks to a clustering procedure applied to the training set. Then, for each subject of the testing set, a personalization procedure was performed, by initializing the models based on the cluster to which the patient belongs. We evaluated the effectiveness of the proposed bolus calculator on a 60-day simulation, using several metrics representing the goodness of glycemic control, and comparing the results with the standard guidelines for mealtime insulin dosing. The proposed method improved the time in target range from 68.35% to 70.08% and significantly reduced the time in hypoglycemia (from 8.78% to 4.17%). The overall glycemic risk index decreased from 8.2 to 7.3, indicating the benefit of our method when applied for insulin dosing compared to standard guidelines.

    وصف الملف: ELETTRONICO

    العلاقة: info:eu-repo/semantics/altIdentifier/wos/WOS:000982840900038; firstpage:1; lastpage:10; numberofpages:10; journal:IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS; https://hdl.handle.net/11577/3471900Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85149378556

  7. 7
    دورية أكاديمية

    المساهمون: Vettoretti, Martina, Drecogna, Martina, Del Favero, Simone, Facchinetti, Andrea, Sparacino, Giovanni

    الوصف: Background and objective: Continuous glucose monitoring (CGM) sensors measure interstitial glucose concentration every 1-5 min for days or weeks. New CGM-based diabetes therapies are often tested in in silico clinical trials (ISCTs) using diabetes simulators. Accurate models of CGM sensor inaccuracies and failures could help improve the realism of ISCTs. However, the modeling of CGM failures has not yet been fully addressed in the literature. This work aims to develop a mathematical model of CGM gaps, i.e., occasional portions of missing data generated by temporary sensor errors (e.g., excessive noise or artifacts). Methods: Two datasets containing CGM traces collected in 167 adults and 205 children, respectively, using the Dexcom G6 sensor (Dexcom Inc., San Diego, CA) were used. Four Markov models, of increasing complexity, were designed to describe three main characteristics: number of gaps for each sensor, gap distribution in the monitoring days, and gap duration. Each model was identified on a portion of each dataset (training set). The remaining portion of each dataset (real test set) was used to evaluate model performance through a Monte Carlo simulation approach. Each model was used to generate 100 simulated test sets with the same size as the real test set. The distributions of gap characteristics on the simulated test sets were compared with those observed on the real test set, using the two-sample KolmogorovSmirnov test and the Jensen-Shannon divergence. Results: A six-state Markov model, having two states to describe normal sensor operation and four states to describe gap occurrence, achieved the best results. For this model, the Kolmogorov-Smirnov test found no significant differences between the distribution of simulated and real gap characteristics. Moreover, this model obtained significantly lower Jensen-Shannon divergence values than the other models.Conclusions: A Markov model describing CGM gaps was developed and validated on two real datasets. The model describes well the number of gaps for ...

    وصف الملف: ELETTRONICO

    العلاقة: info:eu-repo/semantics/altIdentifier/pmid/37437469; info:eu-repo/semantics/altIdentifier/wos/WOS:001044440900001; volume:240; firstpage:107700; journal:COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE; https://hdl.handle.net/11577/3501384Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85164250744

  8. 8
    كتاب

    المصدر: Digital Health Transformation, Smart Ageing, and Managing Disability ; Lecture Notes in Computer Science ; page 16-25 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031439490 9783031439506

    الوصف: The presented platform architecture and deployed implementation in real-life clinical and home care settings on four Amyotrophic Lateral Sclerosis (ALS) and Multiple Sclerosis (MS) study sites, integrates the novel working tools for improved disease management with the initial releases of the AI models for disease monitoring. The described robust industry-standard scalable platform is to be a referent example of the integration approach based on loose coupling APIs and industry open standard human-readable and language-independent interface specifications, and its successful baseline implementation for further upcoming releases of additional and more advanced AI models and supporting pipelines (such as for ALS and MS progression prediction, patient stratification, and ambiental exposure modelling) in the following development.

  9. 9
    دورية أكاديمية

    المصدر: Schönenberger, Katja A; Ferreira, Antonio; Stebler, Céline; Prendin, Francesco; Gawinecka, Joanna; Nakas, Christos T; Mühlebach, Stefan; Stanga, Zeno; Facchinetti, Andrea; Herzig, David; Bally, Lia (2023). Nutritional strategies for correcting low glucose values in patients with postbariatric hypoglycaemia: A randomized controlled three‐arm crossover trial. Diabetes, Obesity & Metabolism, 25(10):2853-2861.

    الوصف: AimTo evaluate the efficacy of nutritional hypoglycaemia correction strategies in postbariatric hypoglycaemia (PBH) after Roux‐en‐Y gastric bypass (RYGB).Materials and methodsIn a randomized, controlled, three‐arm crossover trial, eight post‐RYGB adults (mean [SD] 7.0 [1.4] years since surgery) with PBH ingested a solid mixed meal (584 kcal, 85 g carbohydrates, 21 g fat, 12 g protein) to induce hypoglycaemia on three separate days. Upon reaching plasma glucose of less than 3.0 mmol/L, hypoglycaemia was corrected with 15 g of glucose (G15), 5 g of glucose (G5) or a protein bar (P10, 10 g of protein) in random order. The primary outcome was percentage of time spent in the target plasma glucose range (3.9‐5.5 mmol/L) during 40 minutes after correction.ResultsPostcorrection time spent in the target glucose range did not differ significantly between the interventions (P = .161). However, postcorrection time with glucose less than 3.9 mmol/L was lower after G15 than P10 (P = .007), whereas time spent with glucose more than 5.5 mmol/L, peak glucose and insulin 15 minutes postcorrection were higher after G15 than G5 and P10 (P < .001). Glucagon 15 minutes postcorrection was higher after P10 than after G15 and G5 (P = .002 and P = .003, respectively). G15 resulted in rebound hypoglycaemia (< 3.0 mmol/L) in three of eight cases (38%), while no rebound hypoglycaemia occurred with G5 and P10.ConclusionsCorrecting hypoglycaemia with 15 g of glucose should be reconsidered in post‐RYGB PBH. A lower dose appears to sufficiently increase glucose levels outside the critical range in most cases, and complementary nutrients (e.g. proteins) may provide glycaemia‐stabilizing benefits.Registration number of clinical trialNTC05250271 (ClinicalTrials.gov).

    وصف الملف: application/pdf

  10. 10
    دورية أكاديمية

    المصدر: Ferreira, Antonio; Schönenberger, Katja A; Potoczna, Natascha; Vogt, Andreas; Gerber, Philipp A; Zehetner, Jörg; Giachino, Daniel; Nett, Philipp; Gawinecka, Joanna; Cossu, Luca; Fuster, Daniel G; Dalla Man, Chiara; Facchinetti, Andrea; Melmer, Andreas; Nakas, Christos T; Hepprich, Matthias; Donath, Marc Y; Herzig, David; Bally, Lia (2023). Randomized, Double-Blind, Placebo-Controlled Crossover Trial of Once Daily Empagliflozin 25 mg for the Treatment of Postprandial Hypoglycemia After Roux-en-Y Gastric Bypass. Diabetes Technology & Therapeutics, 25(7):467-475.

    الوصف: Aims: To investigate the effect of empagliflozin on glucose dynamics in individuals suffering from postbariatric hypoglycemia (PBH) after Roux-en-Y gastric bypass (RYGB). Methods: Twenty-two adults with PBH after RYGB were randomized to empagliflozin 25 mg or placebo once daily over 20 days in a randomized, double-blind, placebo-controlled, crossover trial. The primary efficacy outcome was the amplitude of plasma glucose excursion (peak to nadir) during a mixed-meal tolerance test (MMTT). Outcomes of the outpatient period were assessed using continuous glucose monitoring (CGM) and an event-tracking app. Results: The amplitude of glucose excursion during the MMTT was 8.1 ± 2.4 mmol/L with empagliflozin versus 8.1 ± 2.6 mmol/L with placebo (mean ± standard deviation, P = 0.807). CGM-based mean amplitude of glucose excursion during the 20-day period was lower with empagliflozin than placebo (4.8 ± 1.3 vs. 5.2 ± 1.6. P = 0.028). Empagliflozin reduced the time spent with CGM values >10.0 mmol/L (3.8 ± 3.5% vs. 4.7 ± 3.8%, P = 0.009), but not the time spent with CGM values <3.0 mmol/L (1.7 ± 1.6% vs. 1.5 ± 1.5%, P = 0.457). No significant difference was observed in the quantity and quality of recorded symptoms. Eleven adverse events occurred with empagliflozin (three drug-related) and six with placebo. Conclusions: Empagliflozin 25 mg reduces glucose excursions but not hypoglycemia in individuals with PBH.

    وصف الملف: application/pdf

    العلاقة: https://www.zora.uzh.ch/id/eprint/236243/1/Joanna3.pdfTest; info:pmid/37093196; urn:issn:1520-9156