26 papers · ranked by Valyu relevance
Jonas A. Otoo, Travis S. Schlappi
The diagnosis of infectious diseases is ineffective when the diagnostic test does not meet one or more of the necessary standards of affordability, accessibility, and accuracy. The World Health Organization further clarifies these standards with a set of criteria that has the acronym ASSURED (Affordable, Sensitive…
Kameko Nichols, Sarah J. Girdwood, Andrew Inglis, Pascale Ondoa + 7 more
'Karla Therese L. Sy' 'Mariet Benade' 'Aloysius Bingi Tusiime' 'Kekeletso Kao' 'Sergio Carmona' 'Heidi Albert' 'Brooke E. Nichols'] Diagnostics services are an essential component of healthcare systems, advancing universal health coverage and ensuring global health security, but are often unavailable or under-resourced…
G. P. Krestin, P. A. Grenier, H. Hricak, V. P. Jackson + 5 more
'J. C. Miller' 'A. Muellner' 'M. Schwaiger' 'J. H. Thrall'] The International Society for Strategic Studies in Radiology held its 9th biennial meeting in August 2011. The focus of the programme was integrated diagnostics and massive computing. Participants discussed the opportunities, challenges, and consequences for…
Andrew Georgiou, Julie Li, Rae-Anne Hardie, Nasir Wabe + 7 more
Diagnostic investigations (pathology laboratory and medical imaging) aim to: increase certainty of the presence or absence of disease by supporting the process of differential diagnosis; support clinical management; and monitor a patient's trajectory (e. g., disease progression or response to treatment). Digital health…
Sanghyuk Ko
Different types of diagnostics methods were introduced to the public due to the recent global pandemic. From the real-time reverse transcript polymerase chain reaction (RT-qPCR) to antigen lateral flow assay (LFA), these tests allow relatively accurate and rapid diagnosis of the infection with SARS-CoV-2 virus. Because…
Tim Schubert, Richard Peck, Alexander Gimson, Camelia Davtyan + 1 more
'Mihaela van der Schaar'] Early diagnosis of diseases holds the potential for deep transformation in healthcare by enabling better treatment options, improving long-term survival and quality of life, and reducing overall cost. With the advent of electronic health records, increasing amounts of patient-collected data…
Barry Dowdeswell, Roopak Sinha, Stephen G. MacDonell
Context: As Industrial Cyber–Physical Systems (ICPS) become more connected and widely-distributed, often operating in safety-critical environments, we require innovative approaches to detect and diagnose the faults that occur in them. Objective: We profile fault identification and diagnosis techniques employed in the…
David Poole, Gregory Provan
Within diagnostic reasoning there have been a numb�r of proposed definitions of a diagnosis, and of an optimal or most likely diagnosis. These include most probable posterior hypothesis, most probable interpretation, most probable covering hypothesis, etc. Most of these approaches assume that the most likely diagnosis…
Authors not listed
In this report, we examine the extensive research landscape of CRISPR with an emphasis on CRISPR therapeutics and showcase our results from an in-depth analysis of the most up-to-date scientific information consisting of more than 53,000 publications encompassing academic journal articles and patents, spanning nearly…
Neha Goswami, Yuchen R. He, Yu-Heng Deng, Chamteut Oh + 8 more
Efforts to mitigate the COVID-19 crisis revealed that fast, accurate, and scalable testing is crucial for curbing the current impact and that of future pandemics. We propose an optical method for directly imaging unlabeled viral particles and using deep learning for detection and classification. An ultrasensitive…
Lee F. Schroeder, Yvonne Dei-Adomakoh, Kristen DeStigter, Emmanuel O. Idigbe + 6 more
'Emmanuel O. Idigbe' 'John Flanigan' 'Priscilla Mawuli Awo Ekpale' 'Ernest Adjei' 'Lina Roa' 'Michael L. Wilson' 'Susan Horton'] Background Diagnostic investigations, including pathology and laboratory medicine (PALM) and radiology, have been largely absent from international strategies such as the Sustainable…
Stephen A. Bustin, Eleni Gavriilaki
The COVID-19 pandemic highlighted the crucial role of diagnostic testing in managing infectious diseases, particularly through the use of reverse transcription-quantitative polymerase chain reaction (RT-qPCR) tests. RT-qPCR has been pivotal in detecting and quantifying viral RNA, enabling the identification and…
Melih Agraz, George Em Karniadakis
Diagnostic tests play a crucial role in establishing the presence of a specific disease in an individual. Receiver Operating Characteristic (ROC) curve analyses are essential tools that provide performance metrics for diagnostic tests. Accurate determination of the cutoff point in ROC curve analyses is the most…
Ilia Kopanichuk, Petr Anokhin, Владимир Шапошников, Vladimir Makharev + 4 more
The integration of artificial intelligence (AI) into medical diagnostic workflows requires robust and consistent evaluation methods to ensure reliability, clinical relevance, and the inherent variability in expert judgments. Traditional metrics like precision and recall often fail to account for the inherent…
Adva Raz, Hila Gubi, Adam Cohen, Fernando Patolsky
Biomarkers detection have become essential in medical diagnostics and early detection of life-threatening diseases. Modern-day medicine relies heavily on painful and invasive tests, the extraction of large volumes of venous blood being the most common tool of biomarker detection. These tests are time-consuming…
Magdalena Blaszkiewicz, Lydia Caron, Brooke Villinski, Joshua Passarelli + 8 more
Diabetic peripheral neuropathy (DPN) is a common complication of diabetes. Proactive treatment options remain limited, which is exacerbated by a lack of sensitive and convenient diagnostics, especially early in disease progression or specifically to assess small fiber neuropathy (SFN), the loss of distal small diameter…
Chih-Cheng Huang, Partha Ray, Matthew Chan, Xiahan Zhou + 1 more
Facing unprecedented population-ageing, the management of noncommunicable diseases (NCDs) urgently needs a point-of-care (PoC) testing infrastructure. Magnetic flow cytometers are one such solution for rapid cancer cellular detection in a PoC setting. In this work, we report a giant magnetoresistive spin-valve (GMR SV)…
Authors not listed
Lateral flow assays (LFAs) are widely used for rapid, point-of-care diagnostics but struggle with sensitivity in part due to passive migration and interference from high-abundance serum proteins. Here, we introduce the Lateral Isotachophoresis-Guided Migration Analysis (LIGMA) assay, a novel diagnostic platform that…
Yujuan Xiong, Zhen-Zhen Li, Qi-Zhen Zhuang, Yan Chao + 5 more
Coronavirus disease 2019 (COVID-19) can be screened and diagnosed through the detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) by real-time reverse transcription polymerase chain reaction. SARS-CoV-2 nucleic acid amplification tests (NAATs) have been rapidly developed and quickly applied to…
Wei Wong
In this review, we will delve into the exciting world of paper-based biosensors for detecting biomarkers in blood, with a particular focus on detecting albumins. With the increasing need for simple, affordable, and accessible diagnostic tools, paper-based biosensors have emerged as a promising solution. These…
Rahul Sharma, Amit Patel
Salivary diagnostics offers a promising method for early diagnosis, prognosis, and post-therapy monitoring. Saliva contains various hormones, proteins, enzymes, antibodies, antimicrobial constituents, and cytokines that can provide diagnostic information. Saliva is easy to collect, non- invasive, cost-effective, and…
Zahra Panahi, Elizabeth Denley, Edgar D. Goluch
Urine glucose dipstick tests have low sensitivity, particularly in detecting glucose in early or mild cases of diabetes in cats and dogs. Ketone dipstick tests only detect acetoacetate and do not measure β-hydroxybutyrate (BHB) which is the predominant ketone in diabetic patients and the most reliable indicator of…
Magda Bucholc, Xuemei Ding, Haiying Wang, David H. Glass + 8 more
Computerized clinical decision support systems can help to provide objective, standardized, and timely dementia diagnosis. However, current computerized systems are mainly based on the group analysis, discrete classification of disease stages, or expensive and not readily accessible biomarkers, while current clinical…
Pat Croskerry, Mike Clancy
Following a review of accepted submissions for this special issue of the Society for Academic Emergency Medicine (SAEM)'s collected papers on diagnosis, we offer a commentary on the variety of reports. We use the metaphor of Newton's demonstration that a complex percept like the rainbow can be broken down by prisms…
Authors not listed
— Identifying type 2 diabetes mellitus can be challenging, particularly for primary care physicians. Clinical decision support systems incorporating artificial intelligence (AI-CDSS) can assist medical professionals in diagnosing type 2 diabetes with high accuracy. This study aimed to assess an AI-CDSS specifically…
Hasan Abbas, Lejla Alic, Madhav Erraguntla, Jim Ji + 3 more
Diabetes is a large healthcare burden worldwide. There is substantial evidence that lifestyle modifications and drug intervention can prevent diabetes, therefore, an early identification of high risk individuals is important to design targeted prevention strategies. In this paper, we present an automatic tool that uses…