A Mobile App to Manage Children Dental Anxiety: Context and Approach

Anxiety and fear related to dentistry interventions have been identified as problems affecting children. This reduces their quality of life and may have a negative impact on aspects such as sleep, self –esteem, mood, social relationships, and other psychological issues.The ARCADE project aims to design and develop a technological solution to manage children dental anxiety. This solution consists on a mobile system co-designed with children. An ecological momentary intervention is proposed using this solution before, during and after dentistry treatments. This paper presents a methodological approach to develop the project

Early outcomes from the Minimally Invasive Right Colectomy Anastomosis study (MIRCAST)

Anastomosis; ColectomyAnastomosi; ColectomiaAnastomosis; ColectomíaBackground The impact of method of anastomosis and minimally invasive surgical technique on surgical and clinical outcomes after right hemicolectomy is uncertain. The aim of the MIRCAST study was to compare intracorporeal and extracorporeal anastomosis (ICA and ECA respectively), each using either a laparoscopic approach or robot-assisted surgery during right hemicolectomies for benign or malignant tumours. Methods This was an international, multicentre, prospective, observational, monitored, non-randomized, parallel, four-cohort study (laparoscopic ECA; laparoscopic ICA; robot-assisted ECA; robot-assisted ICA). High-volume surgeons (at least 30 minimally invasive right colectomy procedures/year) from 59 hospitals across 12 European countries treated patients over a 3-year interval The primary composite endpoint was 30-day success, defined by two measures of efficacy—absence of surgical wound infection and of any major complication within the first 30 days after surgery. Secondary outcomes were: overall complications, conversion rate, duration of operation, and number of lymph nodes harvested. Propensity score analysis was used for comparison of ICA with ECA, and robot-assisted surgery with laparoscopy. Results Some 1320 patients were included in an intention-to-treat analysis (laparoscopic ECA, 555; laparoscopic ICA, 356; robot-assisted ECA, 88; robot-assisted ICA, 321). No differences in the co-primary endpoint at 30 days after surgery were observed between cohorts (7.2 and 7.6 per cent in ECA and ICA groups respectively; 7.8 and 6.6 per cent in laparoscopic and robot-assisted groups). Lower overall complication rates were observed after ICA, specifically less ileus, and nausea and vomiting after robot-assisted procedures. Conclusion No difference in the composite outcome of surgical wound infections and severe postoperative complications was found between intracorporeal versus extracorporeal anastomosis or laparoscopy versus robot-assisted surgery.The MIRCAST Study Group has received research intensification grants from the Regional Government of Cantabria, Spain, and a research grant from Intuitive Surgical (Sunnyvale, CA, USA). MIRCAST was designed and conducted independently at the Valdecilla Biomedical Research Institute (IDIVAL). The funding institutions had no influence in the design or conduct of the study

Robotics software frameworks for multi-agent robotic systems development

Robotics is an area of research in which the paradigm of Multi-Agent Systems (MAS) can prove to be highly useful. Multi-Agent Systems come in the form of cooperative robots in a team, sensor networks based on mobile robots, and robots in Intelligent Environments, to name but a few. However, the development of Multi-Agent Robotic Systems (MARS) still presents major challenges. Over the past decade, a high number of Robotics Software Frameworks (RSFs) have appeared which propose some solutions to the most recurrent problems in robotics. Some of these frameworks, such as ROS, YARP, OROCOS, ORCA, Open-RTM, and Open-RDK, possess certain characteristics and provide the basic infrastructure necessary for the development of MARS. The contribution of this work is the identification of such characteristics as well as the analysis of these frameworks in comparison with the general-purpose Multi-Agent System Frameworks (MASFs), such as JADE and Mobile-C.Ministerio de Ciencia e Innovación TEC2009-10639-C04-02Junta de Andalucía P06-TIC-2298Junta de Andalucía P08-TIC-0386

How Can Computer Science Help Cancer Survivors Children?

Survival of childhood cancer has grown thanks to more effective but more aggressive treatments. As their life expectancy has increased, they have discovered important long-­‐term side effects that significantly limit their quality of life: cognitive, linguistic, physical, and social effects. The most significant problems are related to language and communication, which prevent the child from expressing himself properly, having difficulty finding the right word. This poster presents some possible computer mediated solutions to improve children cancer survivors’ quality of life

¿Cómo puede la Informática ayudar a los niños supervivientes de cáncer?

La supervivencia al cáncer infantil ha crecido gracias a tratamientos más efectivos, aunque más agresivos. A medida que ha aumentado su esperanza de vida, se han descubierto importantes efectos secundarios a largo plazo que limitan de manera significativa su calidad de vida: efectos cognitivos, lingüísticos, físicos, sociales. Los problemas más significativos están relacionados con el lenguaje y la comunicación, que impiden que el niño pueda expresarse de manera apropiada, teniendo dificultades para encontrar la palabra adecuada. Este póster presenta algunas posibles soluciones basadas en tecnologías TIC para mejorar la calidad de vida de los sobrevivientes de cáncer infantil

Applied diagnostics in liver cancer. Efficient combinations of sorafenib with targeted inhibitors blocking AKT/mTOR

Hepatocellular carcinoma (HCC) is the third most common cause of cancer-related deaths worldwide. There is increasing interest in developing specific markers to serve as predictors of response to sorafenib and to guide targeted therapy. Using a sequencing platform designed to study somatic mutations in a selection of 112 genes (HepatoExome), we aimed to characterize lesions from HCC patients and cell lines, and to use the data to study the biological and mechanistic effects of case-specific targeted therapies used alone or in combination with sorafenib. We characterized 331 HCC cases in silico and 32 paired samples obtained prospectively from primary tumors of HCC patients. Each case was analyzed in a time compatible with the requirements of the clinic (within 15 days). In 53% of the discovery cohort cases, we detected unique mutational signatures, with up to 34% of them carrying mutated genes with the potential to guide therapy. In a panel of HCC cell lines, each characterized by a specific mutational signature, sorafenib elicited heterogeneous mechanistic and biological responses, whereas targeted therapy provoked the robust inhibition of cell proliferation and DNA synthesis along with the blockage of AKT/mTOR signaling. The combination of sorafenib with targeted therapies exhibited synergistic anti-HCC biological activity concomitantly with highly effective inhibition of MAPK and AKT/mTOR signaling. Thus, somatic mutations may lead to identify case-specific mechanisms of disease in HCC lesions arising from multiple etiologies. Moreover, targeted therapies guided by molecular characterization, used alone or in combination with sorafenib, can effectively block important HCC disease mechanisms.FUNDING: Grants from ISCIII, co-financed by the European Union (FEDER) (PI16/00156), Ramón and Cajal research program from MINECO (RYC-2013-14097) and FUNDACIÓN LUCHAMOS POR LA VIDA to JPV. Grants from ISCIII (RD06/0020/0107-RD012/0036/0060) to MAP. Grant from ISCIII (Ref. PIE15/00079) to JC & JPV. NGD is a recipient of a UC-IDIVAL pre-doctoral fellow. I.V. was also supported by the Ramón and Cajal research program

Impact of Biological Agents on Postsurgical Complications in Inflammatory Bowel Disease : A Multicentre Study of Geteccu

Background: The impact of biologics on the risk of postoperative complications (PC) in inflammatory bowel disease (IBD) is still an ongoing debate. This lack of evidence is more relevant for ustekinumab and vedolizumab. Aims: To evaluate the impact of biologics on the risk of PC. Methods: A retrospective study was performed in 37 centres. Patients treated with biologics within 12 weeks before surgery were considered "exposed". The impact of the exposure on the risk of 30-day PC and the risk of infections was assessed by logistic regression and propensity score-matched analysis. Results: A total of 1535 surgeries were performed on 1370 patients. Of them, 711 surgeries were conducted in the exposed cohort (584 anti-TNF, 58 vedolizumab and 69 ustekinumab). In the multivariate analysis, male gender (OR: 1.5; 95% CI: 1.2-2.0), urgent surgery (OR: 1.6; 95% CI: 1.2-2.2), laparotomy approach (OR: 1.5; 95% CI: 1.1-1.9) and severe anaemia (OR: 1.8; 95% CI: 1.3-2.6) had higher risk of PC, while academic hospitals had significantly lower risk. Exposure to biologics (either anti-TNF, vedolizumab or ustekinumab) did not increase the risk of PC (OR: 1.2; 95% CI: 0.97-1.58), although it could be a risk factor for postoperative infections (OR 1.5; 95% CI: 1.03-2.27). Conclusions: Preoperative administration of biologics does not seem to be a risk factor for overall PC, although it may be so for postoperative infections

Predictive Power of the "Trigger Tool" for the detection of adverse events in general surgery: a multicenter observational validation study

Background In spite of the global implementation of standardized surgical safety checklists and evidence-based practices, general surgery remains associated with a high residual risk of preventable perioperative complications and adverse events. This study was designed to validate the hypothesis that a new “Trigger Tool” represents a sensitive predictor of adverse events in general surgery. Methods An observational multicenter validation study was performed among 31 hospitals in Spain. The previously described “Trigger Tool” based on 40 specific triggers was applied to validate the predictive power of predicting adverse events in the perioperative care of surgical patients. A prediction model was used by means of a binary logistic regression analysis. Results The prevalence of adverse events among a total of 1,132 surgical cases included in this study was 31.53%. The “Trigger Tool” had a sensitivity and specificity of 86.27% and 79.55% respectively for predicting these adverse events. A total of 12 selected triggers of overall 40 triggers were identified for optimizing the predictive power of the “Trigger Tool”. Conclusions The “Trigger Tool” has a high predictive capacity for predicting adverse events in surgical procedures. We recommend a revision of the original 40 triggers to 12 selected triggers to optimize the predictive power of this tool, which will have to be validated in future studies