Biodiagnostics in an era of global pandemics—From biosensing materials to data management

Broza, Yoav Y.; Haick, Hossam

doi:10.1002/viw.20200164

Cited by 25 publications

(19 citation statements)

References 142 publications

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“…By applying AI methods, the combination of these differences can be expressed and attributed to specific diseases. [ 67,98,99 ]…”

Section: Discussionmentioning

confidence: 99%

“…By applying AI methods, the combination of these differences can be expressed and attributed to specific diseases. [67,98,99] Recently we presented a new concept for liquid biopsy, based on alterations of VOCs profile in blood. We demonstrated in vitro that VOCs profile is significantly altered depending on the incidence and amount of cancer cells in the blood and can be easily detected by our sensor array.…”

Section: Analysis With the Artificially Intelligent Nanoarraysmentioning

confidence: 99%

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Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers

Amor

Zinger

Broza

et al. 2022

Adv Healthcare Materials

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Cancer is usually not symptomatic in its early stages. However, early detection can vastly improve prognosis. Liquid biopsy holds great promise for early detection, although it still suffers from many disadvantages, mainly searching for specific cancer biomarkers. Here, a new approach for liquid biopsies is proposed, based on volatile organic compound (VOC) patterns in the blood headspace. An artificial intelligence nanoarray based on a varied set of chemi‐sensitive nano‐based structured films is developed and used to detect and stage cancer. As a proof‐of‐concept, three cancer models are tested showing high incidence and mortality rates in the population: breast cancer, ovarian cancer, and pancreatic cancer. The nanoarray has >84% accuracy, >81% sensitivity, and >80% specificity for early detection and >97% accuracy, 100% sensitivity, and >88% specificity for metastasis detection. Complementary mass spectrometry analysis validates these results. The ability to analyze such a complex biological fluid as blood, while considering data of many VOCs at a time using the artificially intelligent nanoarray, increases the sensitivity of predictive models and leads to a potential efficient early diagnosis and disease‐monitoring tool for cancer.

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“…By applying AI methods, the combination of these differences can be expressed and attributed to specific diseases. [ 67,98,99 ]…”

Section: Discussionmentioning

confidence: 99%

Section: Analysis With the Artificially Intelligent Nanoarraysmentioning

confidence: 99%

Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers

Amor

Zinger

Broza

et al. 2022

Adv Healthcare Materials

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“…Using such IOT-enabled sensors we can evaluate the state/condition of an object/machine and then use this information to generate ML-enabled feedback and decisions. For example, VOC sensors are envisioned as integral parts of wearable accessories or portable devices that continuously monitor the environment, or human body . Users or stakeholders will be part of an IoT network that provides fast and continuous access to sensing information .…”

Section: Representative Applications Of Voc Sensorsmentioning

confidence: 99%

“…They can affect both indoor and outdoor air quality. , VOCs can be used as markers of explosives, insect infestation, fruit ripening, and more. − Notably, specific VOCs in body fluids and waste (e.g., blood, breath, sweat, urine, feces, etc.) can be used as an indicators of diseases and health conditions. − Therefore, detection and monitoring of VOCs is expected to find useful applications in multiple areas including health management, environmental monitoring, public safety, agriculture, and food production (Figure ).…”

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confidence: 99%

Sensors for Volatile Organic Compounds

2022

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This paper provides an overview of recent developments in the field of volatile organic compound (VOC) sensors, which are finding uses in healthcare, safety, environmental monitoring, food and agriculture, oil industry, and other fields. It starts by briefly explaining the basics of VOC sensing and reviewing the currently available and quickly progressing VOC sensing approaches. It then discusses the main trends in materials’ design with special attention to nanostructuring and nanohybridization. Emerging sensing materials and strategies are highlighted and their involvement in the different types of sensing technologies is discussed, including optical, electrical, and gravimetric sensors. The review also provides detailed discussions about the main limitations of the field and offers potential solutions. The status of the field and suggestions of promising directions for future development are summarized.

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“…The electrical response was classified using the discriminant factor analysis (DFA) algorithm. The use of machine-learning algorithms with nanotechnology-based approaches enabled the advancement of clinical decision support systems. , The model was capable of differentiating COVID-19 infected from healthy subjects with 75%, 100%, and 61% accuracy, sensitivity, and specificity, respectively. COVID-19-infected subjects were differentiated from the subjects infected with non-COVID infected pneumonia with 95%, 100%, 90% accuracy, sensitivity, and specificity, respectively.…”

Section: Sars-cov-2 Diagnosis Using Volatile Organic Compoundsmentioning

confidence: 99%

Diagnostic Approaches For COVID-19: Lessons Learned and the Path Forward

Alafeef

Pan

2022

ACS Nano

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Coronavirus disease 2019 (COVID-19) is a transmitted respiratory disease caused by the infection of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Although humankind has experienced several outbreaks of infectious diseases, the COVID-19 pandemic has the highest rate of infection and has had high levels of social and economic repercussions. The current COVID-19 pandemic has highlighted the limitations of existing virological tests, which have failed to be adopted at a rate to properly slow the rapid spread of SARS-CoV-2. Pandemic preparedness has developed as a focus of many governments around the world in the event of a future outbreak. Despite the largely widespread availability of vaccines, the importance of testing has not diminished to monitor the evolution of the virus and the resulting stages of the pandemic. Therefore, developing diagnostic technology that serves as a line of defense has become imperative. In particular, that test should satisfy three criteria to be widely adopted: simplicity, economic feasibility, and accessibility. At the heart of it all, it must enable early diagnosis in the course of infection to reduce spread. However, diagnostic manufacturers need guidance on the optimal characteristics of a virological test to ensure pandemic preparedness and to aid in the effective treatment of viral infections. Nanomaterials are a decisive element in developing COVID-19 diagnostic kits as well as a key contributor to enhance the performance of existing tests. Our objective is to develop a profile of the criteria that should be available in a platform as the target product. In this work, virus detection tests were evaluated from the perspective of the COVID-19 pandemic, and then we generalized the requirements to develop a target product profile for a platform for virus detection.

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Biodiagnostics in an era of global pandemics—From biosensing materials to data management

Cited by 25 publications

References 142 publications

Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers

Artificially Intelligent Nanoarray Detects Various Cancers by Liquid Biopsy of Volatile Markers

Sensors for Volatile Organic Compounds

Diagnostic Approaches For COVID-19: Lessons Learned and the Path Forward

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