scholarly journals Improved ALS clinical trials through frequent at‐home self‐assessment: a proof of concept study

2020 ◽  
Vol 7 (7) ◽  
pp. 1148-1157 ◽  
Author(s):  
Seward B. Rutkove ◽  
Pushpa Narayanaswami ◽  
Visar Berisha ◽  
Julie Liss ◽  
Shira Hahn ◽  
...  
2021 ◽  
Author(s):  
Ran Liu ◽  
Yuansheng Hu ◽  
Ying He ◽  
Tian Lan ◽  
Jingjing Zhang

Home testing is an attractive emerging strategy to combat COVID-19 pandemic and prevent overloading of the healthcare resources through at-home isolation, screening, and monitoring of symptoms. However, current diagnostic technologies...


2018 ◽  
Author(s):  
Khader Shameer ◽  
Kipp W. Johnson ◽  
Ben Readhead ◽  
Benjamin S. Glicksberg ◽  
Claire McCallum ◽  
...  

AbstractWe live in a world of emerging new diseases and old diseases resurging in more aggressive forms. Drug development by pharmaceutical companies is a market-driven and costly endeavor, and thus it is often a challenge when drugs are needed for diseases endemic only to certain regions or which affect only a few patients. However, biomedical open data is accessible and reusable for reanalysis and generation of a new hypotheses and discovery. In this study, we leverage biomedical data and tools to analyze available data on Nipah Virus (NiV) infection. NiV infection is an emerging zoonosis that is transmissible to humans and is associated with high mortality rates. In this study, explored the application of computational drug repositioning and chemogenomic enrichment analyses using host transcriptome data to match drugs that could reverse the virus-induced gene signature. We performed analyses using two gene signatures: i) A previously published gene signature (n=34), and ii) a gene signature generated using the characteristic direction method (n= 5,533). Our predictive framework suggests that several drugs including FDA approved therapies like beclometasone, trihexyphenidyl, S-propranolol etc. could modulate the NiV infection induced gene signatures in endothelial cells. A target specific analysis of CXCL10 also suggests the potential application of Eldelumab, an investigative therapy for Crohn’s disease and ulcerative colitis, as a putative candidate for drug repositioning. To conclude, we also discuss challenges and opportunities in clinical trials (n-of-1 and adaptive trials) for repositioned drugs. Further follow-up studies including biochemical assays and clinical trials are required to identify effective therapies for clinical use. Our proof-of-concept study highlights that translational bioinformatics methods including gene expression analyses and computational drug repositioning could augment epidemiological investigations in the context of an emerging disease with no effective treatment.


PLoS ONE ◽  
2018 ◽  
Vol 13 (1) ◽  
pp. e0189749 ◽  
Author(s):  
Naomi O. Davis ◽  
Jeffrey Bower ◽  
Scott H. Kollins

2012 ◽  
Vol 18 (6) ◽  
pp. 821-825 ◽  
Author(s):  
Wiete Kromdijk ◽  
Jan W Mulder ◽  
Patrick M Smit ◽  
Rob ter Heine ◽  
Jos H Beijnen ◽  
...  

10.2196/11949 ◽  
2018 ◽  
Vol 6 (4) ◽  
pp. e11949 ◽  
Author(s):  
David M Maslove ◽  
Jacob Klein ◽  
Kathryn Brohman ◽  
Patrick Martin

2019 ◽  
Author(s):  
Julia Feldman ◽  
Laura Pugliese ◽  
Katrina Mateo ◽  
Stan Kachnowski

BACKGROUND Blockchain is a technology that has emerged over the past 12 years with the potential to heighten security, data provenance, immutability and create a ‘patient centered experience’ when used in clinical trials. Although much of the recent literature discusses the potential for blockchain to benefit patients in these trials, no IRB-approved, independent study, has evaluated a blockchain-enabled clinical trial management tool from the patient perspective. OBJECTIVE The objective of this study was to determine the usability and feasibility of a blockchain-enabled clinical trials management platform with a connected activity tracker and blood pressure monitor through the perspective of patients. Specifically, this study aimed to assess the ability of the blockchain-enabled platform to support electronic consenting, participants’ engagement and compliance to study activities in the one-week period, and to assess the participants’ ability to successfully use and transmit health data via the connected devices. METHODS A rapid proof of concept study of a blockchain software platform used for patient eConsent, engagement and management in clinical trials was conducted. Participants were recruited using digital flyering on online forums (e.g. Craigslist) and by contacting participants from previous studies by the authors. To be eligible participants had to be native English speakers aged 18-75 who: 1) have been diagnosed with at least one chronic condition, and 2) possess an Android or iOS Smart Phone. Once enrolled, participants used the platform (webpage and smartphone app) and activity trackers (a Fitbit™ and iHealth™ devices) for a one-week period. Adherence data as well as perceptions of the platform were collected via semi-structured interviews and surveys at baseline and endline visits. Audio-recorded interviews were professionally transcribed and systematically coded. RESULTS 15 chronically ill individuals with a mean age of 37.7 participated. Themes on opinions of the key properties of the blockchain technology emerged. Participants expressed that they valued transparency features of the blockchain tool because it would make doctors more accountable and potentially more cautious about the care they provide, which was especially important for patients with many doctors. Participants valued the ability to easily access, share and collect data remotely via the app because it saves money and time. Participants were highly interested in sharing their health records for clinical trials or being “matched” into trials. The heightened security of blockchain did not emerge as a major value because most expressed that they weren’t worried about keeping their health data secure. CONCLUSIONS Testing highlighted participants’ overall positive experience with the tool and trust that it could support their adherence to activities in the clinical trial, and that they would recommend the application be used in future studies. Participants believed that blockchain can improve the quality of care in clinical trials and were open to adopting it.


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