Connecting students with staff research activities and real-world outputs

Author(s):  
Ran Sing Saw
Blood ◽  
2020 ◽  
Vol 136 (Supplement 1) ◽  
pp. 4-4
Author(s):  
Edvan De Queiroz Crusoe ◽  
Glaciano Ribeiro ◽  
Karla Richter Zanella ◽  
Leila Martins Perobelli ◽  
Milton A. F. Aranha ◽  
...  

Introduction: An epidemiological database is an important tool to characterize the population disease distribution, long-term effects of the diseases, impact of evolving treatments, to identify adverse events (AE) and their possible mitigation and to improve the healthcare system. Another important reason to create a database is to rapidly identify, recruit and enroll individuals for research activities. Based on these, the Brazilian Multiple Myeloma Study Group (GBRAM) developed an electronic database platform with the intention of prospectively registering the MM cases diagnosed at Brazilian healthcare services. Methods: This is a prospective, multicenter, open, epidemiological study, based on an electronic system register. Patients diagnosed with MM after January 1, 2018 have been included. The eligibility criteria were: intent-to-treat (ITT) MM patients, aged over 18 years and under care in any healthcare system (private, public and academic). All clinical and laboratory data, prognostic profiling, treatment patterns and responses, AE and survival were compiled. The data were analyzed with the NCSS® 2020 software. This project is registered in the Brazilian study platform control (Plataforma Brasil) linked to federal health authorities by the number CAAE-05340918.3.1001.8098. Results: To date, 1,113 patients at 44 reference centers were included. The median age was 64 (25 -96) years and 578 (52%) were male. According to the ECOG performance status: 0 = 185 (16.5%), 1 = 257 (23.2%), 2 = 144 (13%), 3 = 105 (9.5%), 4 = 62 (5.5%) and the not available data (NA) = 359 (32.3%). The ISS 1, 2, and 3 were 219 (19.7%), 286 (25.7%) and 406 (36.5%), respectively, the NA being 202 (18.1%). MM isotypes were 524 (47.1%) IgG, 202 (18.2%) IgA, 192 (17.2%) free-light chain, 4 (0.5%) IgM, 7 (0.8%) biclonal, 9 (0.7%) non-secretor and 175 (15.5%) NA. Regarding the treatment backbone, 427 (38.4%) patients received immunomodulators (IMID- thalidomide), 277 (20.4%), proteasome inhibitors (PI-bortezomib), 84 (7.6%), the combination of PI + IMID, 72 (6.6%), combinations with anti-CD38 monoclonal antibody (Daratumumab) and 253 (27%), other treatments. Based on the ITT analysis of 1003 cases, 636 (63.4%) patients were planned for bone marrow transplantation (BMT) and 367 (36.6%) were ineligible. After a median follow-up of 14.0 months, 150 (23.6%) of the planned patients had undergone the procedure, 284 (44.7%) had not yet been submitted and 202 (31.7%) had NA data. The overall survival (OS) was 80.9% for the total group at 20 months, 73.5% for ineligible and 95.5% for eligible. There was a significant improvement in eligible patients who had performed BMT, as compared to those who had not, HR 0.15 (0.09 - 0.26), p < 0.0001. A total of 142 deaths (12.8%) occurred, 51 (36%) of them being during the first 180 days. Discussion: Due to the lack of a reliable national register and the undoubtable need for a better understanding of MM for the development of public health and patient support measures, GBRAM has developed and built an electronic platform. This epidemiological study prospectively enrolled patients diagnosed since January 2018 and is of a nationwide scope. To date, 1,113 new cases were included. Despite the short follow-up, this analysis has identified differences in survival, comparing ISS stratifications and whether a BMT was performed or not. Conclusion: This project demonstrates the feasibility and importance of electronic platforms in the compilation of MM populational data for a better understanding of the clinical characteristics, treatment patterns and outcomes in the real world, permitting a clearer perception of local issues and thus, addressing possible improvement in public healthcare policy, such as the improvement of BMT access. Disclosures De Queiroz Crusoe: Janssen: Research Funding. Aranha:Janssen: Honoraria, Membership on an entity's Board of Directors or advisory committees; Ache Pharmaceutics: Honoraria.


Author(s):  
Muhammad Usman ◽  
Verena Kallhoff ◽  
Anjum Khurshid

Objective: To develop a research and development program to study factors that will support research, education and innovation using blockchain technology for health in an effective and sustainable manner. We proposed to conduct qualitative research to generate insights for developing a market strategy to build a research lab for the promotion of blockchain technologies in health in academic environments. The team aimed to identify the key barriers and opportunities for developing a sustainable research lab that generates research, education, and application of blockchain in healthcare at an academic medical institution and test those strategies in a real-world scenario. Methods: The research team identified potential customers and stakeholders through interviews and snowball sampling. The team conducted semi-structured interviews with 4 faculty researchers, 10 industry leaders, and 6 students from a variety of disciplines and organizations. The findings of these research activities informed our understanding of the needs of stratified customers and helped identify key assets and activities the lab will have to offer to meet those needs. Results: The research insights from data analysis were used to build the business model for establishing a blockchain in health impact lab. This systematic study of areas where blockchain technology can impact health will guide the future development of research agenda for the researchers on campus. Conclusion: Based on our learnings, we hope to design a Blockchain in Health Impact Lab to serve as a platform for students and faculty to come together with industry partners and explore current challenges of blockchain in healthcare. The academic medical center’s partnership with other healthcare providers will help create real-world opportunities to demonstrate and implement new technologies.


2012 ◽  
Vol 23 (06) ◽  
pp. 464-475 ◽  
Author(s):  
Karen Iler Kirk ◽  
Lindsay Prusick ◽  
Brian French ◽  
Chad Gotch ◽  
Laurie S. Eisenberg ◽  
...  

Under natural conditions, listeners use both auditory and visual speech cues to extract meaning from speech signals containing many sources of variability. However, traditional clinical tests of spoken word recognition routinely employ isolated words or sentences produced by a single talker in an auditory-only presentation format. The more central cognitive processes used during multimodal integration, perceptual normalization, and lexical discrimination that may contribute to individual variation in spoken word recognition performance are not assessed in conventional tests of this kind. In this article, we review our past and current research activities aimed at developing a series of new assessment tools designed to evaluate spoken word recognition in children who are deaf or hard of hearing. These measures are theoretically motivated by a current model of spoken word recognition and also incorporate “real-world” stimulus variability in the form of multiple talkers and presentation formats. The goal of this research is to enhance our ability to estimate real-world listening skills and to predict benefit from sensory aid use in children with varying degrees of hearing loss.


Author(s):  
Titus Oluwasuji Ajewole ◽  
Waheed Ayinla Oyekanmi ◽  
Adeniyi A. Babalola ◽  
Michael Osaretin Omoigui

Abstract Presented in this article is a scaled model of a hybrid-source autonomous electric microgrid, which is developed using a Real Time Digital Simulator, to provide a laboratory-level research facility on renewable energy-based electric microgrid systems. Three energy sources: a pico-hydropower emulator, a diesel engine emulator and a wind turbine emulator; are inter-connected at a point of common coupling, with the hybridized source supplying an aggregate of electrical load. A control scheme is developed that employs the synchronous machine-based pico-hydropower emulator as grid-forming source, while the other two sources feed the grid-former. Since models demonstrated with simulated weather data and load demand profiles may not accurately represent the operational behaviours of the actual system in the real-world scenario, a real-life wind speed profile is implemented on the wind turbine emulator to investigate the behaviours of the lab-microgrid under a near-real-world operating scenario. Balance reactive power flow is established among the three source emulators as a result of which the frequencies of the emulators are synchronized. A proper fault ride-through characteristic is also exhibited by the system. These show that the near-real-world behaviours of the lab-microgrid closely match the operational performance of the actual microgrid in the real-world scenario. The application could, therefore, be adopted as an affordable laboratory tool in research activities and as an instructional kit in teaching on the autonomous microgrid.


2001 ◽  
Vol 7 (S2) ◽  
pp. 528-529
Author(s):  
Michael M. Kersker

What in the “real” world does this title mean? I would argue that every paper given at this meeting in some way reflects an application in the real world, thus rendering this paper and this symposium redundant. But then again, here we are. of course, every one using an instrument will insist that his application is in some way unique and therefore not a common, mundane, “real-world” one. The “real-world” for an academically motivated scientist may be quite different from the “real-world” of the commercially motivated scientist. What happens in an asbestos testing lab is quite different from the activities of a consulting group using the microscope to solve industrial problems. Every application is “real world”.. .but they most certainly may be different.And so, where to begin? For a start, consider the following “real world” situations: 1. a University using a microscope to support the research activities of that University,


2021 ◽  
Author(s):  
Gaëlle Vallée-Tourangeau

In this article, I share my experience and my attempt to meet the teaching-research nexus challenge through the creation of a “staff research lab,” to engage my students with my research activities. I do this by presenting a short case history recounting the creation of the lab, its impact on students’ experience and my own.


2020 ◽  
Vol 3 (1) ◽  
pp. 22-35
Author(s):  
Tasawar Hannan

Purpose: This article addresses this novel area tied to social networking sites, like Facebook and our Symbolic Capital, claiming that Facebook activities like extreme selfies reflect the participants’ desire for honor or Symbolic Capital thus opening up a new connection between Facebook usage and Symbolic Capital. Methodology: This research methodology is based on qualitative data analysis from prior research activities, real world evidences, PWM of death incidents regarding extreme selfies, and finally, sociological and philosophical analysis of capitals from Pierre Bourdieu. Findings: We are proposing a correlation between our desire for Symbolic Capital (collecting honor, trophy, and pride) for taking extreme Facebook selfies, explained by the PWM (Prototype Willingness Model) behavior model.


2018 ◽  
Vol 41 ◽  
Author(s):  
Michał Białek

AbstractIf we want psychological science to have a meaningful real-world impact, it has to be trusted by the public. Scientific progress is noisy; accordingly, replications sometimes fail even for true findings. We need to communicate the acceptability of uncertainty to the public and our peers, to prevent psychology from being perceived as having nothing to say about reality.


Author(s):  
Mark Ellisman ◽  
Maryann Martone ◽  
Gabriel Soto ◽  
Eleizer Masliah ◽  
David Hessler ◽  
...  

Structurally-oriented biologists examine cells, tissues, organelles and macromolecules in order to gain insight into cellular and molecular physiology by relating structure to function. The understanding of these structures can be greatly enhanced by the use of techniques for the visualization and quantitative analysis of three-dimensional structure. Three projects from current research activities will be presented in order to illustrate both the present capabilities of computer aided techniques as well as their limitations and future possibilities.The first project concerns the three-dimensional reconstruction of the neuritic plaques found in the brains of patients with Alzheimer's disease. We have developed a software package “Synu” for investigation of 3D data sets which has been used in conjunction with laser confocal light microscopy to study the structure of the neuritic plaque. Tissue sections of autopsy samples from patients with Alzheimer's disease were double-labeled for tau, a cytoskeletal marker for abnormal neurites, and synaptophysin, a marker of presynaptic terminals.


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