ArticleNature electronics2021
Smartphone-based DNA malaria diagnostics using deep learning for local decision support and blockchain technology for security.
Article in Nature electronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The use of artificial intelligence based modelling techniques in One Health-related infectious disease studies in Sub-Saharan Africa: a review.Frontiers in artificial intelligence · 2026Pooled it
- Efficacy of the mLab App: a randomized clinical trial for increasing HIV testing uptake using mobile technology.Journal of the American Medical Informatics Association : JAMIA · 2025Trial
- Noninvasive malaria detection beyond blood sampling.Sensors & diagnostics · 2026Review
- Research Advances and Future Perspectives of Point-of-Care Detection Technologies and Biosensors for Mosquito-Borne Viruses.Biosensors · 2026Review
- AI-Enhanced Point-of-Care Diagnostics for Infectious Diseases in Resource-Limited Settings: A Scoping Review.Tropical medicine & international health : TM & IH · 2026Article
- Smartphone-based video deep learning enables rapid and accurate lateral flow diagnostics.Mikrochimica acta · 2025Article
- Auxiliary diagnosis of periprosthesis joint infection by leukocyte esterase strips test using a deep learning model.International journal of surgery (London, England) · 2025Article
- Towards practical point-of-care quick, ubiquitous, integrated, cost-efficient molecular diagnostic Kit (QUICK) PCR for future pandemic response.Microsystems & nanoengineering · 2025Review
- Machine learning in point-of-care testing: innovations, challenges, and opportunities.Nature communications · 2025Review
- Developing a Deep Learning Approach for Automated Body Composition Prediction in Newborns Using Ultrasound Images.IEEE access : practical innovations, open solutions · 2025Article
- Hardware-accelerated integrated optoelectronic platform towards real-time high-resolution hyperspectral video understanding.Nature communications · 2024Article
- Status and future prospects for mobile phone-enabled diagnostics in Tanzania.PLOS digital health · 2024Article
- Cost-effectiveness of sentinel screening of endemic diseases alongside malaria diagnosis: A case study in schistosomiasis.PLoS neglected tropical diseases · 2024Article
- Advances in Nucleic Acid Assays for Infectious Disease: The Role of Microfluidic Technology.Molecules (Basel, Switzerland) · 2024Review
- Measuring the performance of computer vision artificial intelligence to interpret images of HIV self-testing results.Frontiers in public health · 2024Article
- Detection of foot-and-mouth disease virus RNA using a closed loop-mediated isothermal amplification system.Frontiers in microbiology · 2024Article
- Highly-Specific Single-Stranded Oligonucleotides and Functional Nanoprobes for Clinical Determination of Chlamydia Trachomatis and Neisseria Gonorrhoeae Infections.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Phage-Inducible Chromosomal Islands as a Diagnostic Platform to Capture and Detect Bacterial Pathogens.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Deep learning framework for sensor array precision and accuracy enhancement.Scientific reports · 2023Article
- Sample-to-answer platform for the clinical evaluation of COVID-19 using a deep learning-assisted smartphone-based assay.Nature communications · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
In infectious disease diagnosis, results need to be rapidly communicated to doctors once testing has been completed, in order for care pathways to be implemented. This is a challenge when testing in remote low-resource rural communities, in which such diseases often create the largest burden. Here we report a smartphone-based end-to-end platform for multiplexed DNA malaria diagnosis. The approach uses a low-cost paper-based microfluidic diagnostic test, which is combined with deep learning algorithms for local decision support and blockchain technology for secure data connectivity and management. We validate the approach via field tests in rural Uganda, where it correctly identified more than 98% of tested cases. Our platform also provides secure geotagged diagnostic information, which creates the possibility of integrating infectious disease data within surveillance frameworks.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.