scholarly journals Validation of a point-of-care rapid diagnostic test for hepatitis C for use in resource-limited settings

2019 ◽  
Vol 11 (4) ◽  
pp. 314-315
Author(s):  
James S Leathers ◽  
Maria Belen Pisano ◽  
Viviana Re ◽  
Gertine van Oord ◽  
Amir Sultan ◽  
...  
Keyword(s):  
Point Of Care ◽  
Low Cost ◽  
Rapid Diagnosis ◽  
Direct Acting Antivirals ◽  
Resource Limited Settings ◽  
Rapid Diagnosis Test ◽  
Resource Limited ◽  
Specificity And Sensitivity ◽  
Hcv Screening ◽  
Direct Acting

Abstract Background Treatment of HCV with direct-acting antivirals has enabled the discussion of HCV eradication worldwide. Envisioning this aim requires implementation of mass screening in resource-limited areas, usually constrained by testing costs. Methods We validated a low-cost, rapid diagnosis test (RDT) for HCV in three different continents in 141 individuals. Results The HCV RDT showed 100% specificity and sensitivity across different samples regardless of genotype or viral load (in samples with such information, 90%). Conclusions The HCV test validated in this study can allow for HCV screening in areas of need when properly used.

Low-Cost Optical Assays for Point-of-Care Diagnosis in Resource-Limited Settings

ACS Sensors ◽  
2021 ◽  
Author(s):  
Nan Jiang ◽  
Natha Dean Tansukawat ◽  
Laura Gonzalez-Macia ◽  
H. Ceren Ates ◽  
Can Dincer ◽  
...  
Keyword(s):  
Point Of Care ◽  
Low Cost ◽  
Resource Limited Settings ◽  
Resource Limited

scholarly journals Design of a Novel Low Cost Point of Care Tampon (POCkeT) Colposcope for Use in Resource Limited Settings

PLoS ONE ◽  
2015 ◽  
Vol 10 (9) ◽  
pp. e0135869 ◽  
Author(s):  
Christopher T. Lam ◽  
Marlee S. Krieger ◽  
Jennifer E. Gallagher ◽  
Betsy Asma ◽  
Lisa C. Muasher ◽  
...  
Keyword(s):  
Point Of Care ◽  
Low Cost ◽  
Resource Limited Settings ◽  
Resource Limited

scholarly journals Point-of-Care Testing for Infectious Diseases: Past, Present, and Future

2017 ◽  
Vol 55 (8) ◽  
pp. 2313-2320 ◽  
Author(s):  
Thomas R. Kozel ◽  
Amanda R. Burnham-Marusich
Keyword(s):  
Infectious Diseases ◽  
New Technologies ◽  
Point Of Care ◽  
Low Cost ◽  
Ease Of Use ◽  
Lateral Flow Immunoassay ◽  
Point Of Care Testing ◽  
Resource Limited Settings ◽  
Resource Limited ◽  
Potential Use

ABSTRACT Point-of-care (POC) diagnostics provide rapid actionable information for patient care at the time and site of an encounter with the health care system. The usual platform has been the lateral flow immunoassay. Recently, emerging molecular diagnostics have met requirements for speed, low cost, and ease of use for POC applications. A major driver for POC development is the ability to diagnose infectious diseases at sites with a limited infrastructure. The potential use in both wealthy and resource-limited settings has fueled an intense effort to build on existing technologies and to generate new technologies for the diagnosis of a broad spectrum of infectious diseases.

scholarly journals Deep transfer learning-based hologram classification for molecular diagnostics

2017 ◽  
Author(s):  
Sung-Jin Kim ◽  
Chuangqi Wang ◽  
Bing Zhao ◽  
Hyungsoon Im ◽  
Jouha Min ◽  
...  
Keyword(s):  
Transfer Learning ◽  
Point Of Care ◽  
Low Cost ◽  
Field Of View ◽  
Robust Performance ◽  
Resource Limited Settings ◽  
Resource Limited ◽  
Point Of Care Diagnostics ◽  
Diffraction Patterns ◽  
Extensive Computation

ABSTRACTLens-free digital in-line holography (LDIH) is a promising microscopic tool that overcomes several drawbacks (e.g., limited field of view) of traditional lens-based microcopy. However, extensive computation is required to reconstruct object images from the complex diffraction patterns produced by LDIH, which limits LDIH utility for point-of-care applications, particularly in resource limited settings. Here, we describe a deep transfer learning (DTL) based approach to process LDIH images in the context of cellular analyses. Specifically, we captured holograms of cells labeled with molecular-specific microbeads and trained neural networks to classify these holograms without reconstruction. Using raw holograms as input, the trained networks were able to classify individual cells according to the number of cell-bound microbeads. The DTL-based approach including a VGG19 pretrained network showed robust performance even with noisy experimental data. Combined with the developed DTL approach, LDIH could be realized as a low-cost, portable tool for point-of-care diagnostics.

scholarly journals Towards AI-Enabled Multimodal Diagnostics and Management of COVID-19 and Comorbidities in Resource-Limited Settings

Informatics ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 63
Author(s):  
Olawande Daramola ◽  
Peter Nyasulu ◽  
Tivani Mashamba-Thompson ◽  
Thomas Moser ◽  
Sean Broomhead ◽  
...  
Keyword(s):  
Point Of Care ◽  
Low Cost ◽  
Personal Data ◽  
Disease Diagnosis ◽  
Careful Consideration ◽  
Diagnostic Methods ◽  
Contact Tracing ◽  
Patient Treatment ◽  
Resource Limited Settings ◽  
Resource Limited

A conceptual artificial intelligence (AI)-enabled framework is presented in this study involving triangulation of various diagnostic methods for management of coronavirus disease 2019 (COVID-19) and its associated comorbidities in resource-limited settings (RLS). The proposed AI-enabled framework will afford capabilities to harness low-cost polymerase chain reaction (PCR)-based molecular diagnostics, radiological image-based assessments, and end-user provided information for the detection of COVID-19 cases and management of symptomatic patients. It will support self-data capture, clinical risk stratification, explanation-based intelligent recommendations for patient triage, disease diagnosis, patient treatment, contact tracing, and case management. This will enable communication with end-users in local languages through cheap and accessible means, such as WhatsApp/Telegram, social media, and SMS, with careful consideration of the need for personal data protection. The objective of the AI-enabled framework is to leverage multimodal diagnostics of COVID-19 and associated comorbidities in RLS for the diagnosis and management of COVID-19 cases and general support for pandemic recovery. We intend to test the feasibility of implementing the proposed framework through community engagement in sub-Saharan African (SSA) countries where many people are living with pre-existing comorbidities. A multimodal approach to disease diagnostics enabling access to point-of-care testing is required to reduce fragmentation of essential services across the continuum of COVID-19 care.

Multi-Angle Lensfree Holographic Imaging for 3-D Cytometry on a Chip

2010 ◽  
Author(s):  
Ting-Wei Su ◽  
Serhan O. Isikman ◽  
Waheb Bishara ◽  
Derek K. Tseng ◽  
Anthony Erlinger ◽  
...  
Keyword(s):  
Optical Microscopy ◽  
Biomedical Applications ◽  
Point Of Care ◽  
Resource Limited Settings ◽  
Holographic Imaging ◽  
Essential Tool ◽  
Resource Limited

Optical microscopy is an essential tool for many biomedical applications. Although commonly-used in laboratory settings, conventional optical microscopes are bulky and relatively costly to use in resource-limited settings which partially limit their use in point-of-care applications.

scholarly journals Experiential Learning Curriculum Delivery Approach for Quality Improvement in Resource Limited Settings: Mobile Learning for Point-of-Care Technologies

2019 ◽  
Vol 11 (13) ◽  
pp. 158
Author(s):  
Nkosinothando Chamane ◽  
Tivani Phosa Mashamba-Thompson
Keyword(s):  
Health Care ◽  
Primary Health Care ◽  
Experiential Learning ◽  
Service Delivery ◽  
Point Of Care ◽  
Service Improvement ◽  
Quality Service ◽  
Resource Limited Settings ◽  
Primary Health ◽  
Resource Limited

BACKGROUND: Despite impressive progress that has been made in the provision of health care services to all, the issue of quality service delivery still remains a challenge particularly for point-of-care (POC) diagnostics in resource-limited-settings. Poor competency of primary health care workers in these settings has been shown to be amongst the main contributors to poor quality service delivery. FINDINGS: Participatory-based continuous professional development (CPD) strategies to support technology advancements in health care are recommended. Experiential learning approaches have been shown to be efficient in supplementing traditional teaching methods for both health care students and professionals. These approaches have been shown to further contribute towards continuous skills development and lifelong learning. CONCLUSION: This review therefore provided an overview of literature on experiential learning as one of CPD approaches in relation to health care service improvement in resource-limited setting. In addition, this review has recommended a mobile-based experiential learning approach to help deliver a quality POC technology curriculum to Primary health care-based workers in resource-limited settings.

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