Breath analysis using FTIR spectroscopy DOI Creative Commons
Andrei A. Bunaciu, Hassan Y. Aboul‐Enein

Exploration of Medicine, Journal Year: 2025, Volume and Issue: unknown

Published: April 17, 2025

Breath analysis is a relatively new topic of study that has lot potential for both therapeutic and scientific applications. The volatile organic compounds (VOCs) found in breath are created internally by the body due to environmental interactions, gut air passage bacteria, metabolites ingested precursors. may help diagnose disorders linked changes composition, according several recent research. An analytical technique shows promise metabolic examination infrared spectroscopy. Chemical substances exhaled human can be used illnesses, determine physiological states, or evaluate exposure. Exhaled (EB) perfect biological fluid because it nearly limitless causes little no discomfort patient, which promotes collaboration. Furthermore, EB sampled without requiring medical professionals privacy, usually doesn’t produce infectious waste (despite airborne infections), makes desirable method variety non-invasive solely uses composition characterize bloodstream airways’ content, indicates state condition entire body’s metabolism. absorption strength still very modest, though, contains minimal amounts them. Several most spectroscopy analysis, published between 2020 2024, presented this study.

Language: Английский

Advancing Optical Nanosensors with Artificial Intelligence: A Powerful Tool to Identify Disease-Specific Biomarkers in Multi-omics Profiling DOI
Bakr Ahmed Taha,

Zahraa Mustafa Abdulrahm,

Ali J. Addie

et al.

Talanta, Journal Year: 2025, Volume and Issue: 287, P. 127693 - 127693

Published: Feb. 4, 2025

Language: Английский

Citations

4

Unlocking New Frontiers in Healthcare: The Impact of Nano-Optical Biosensors on Personalized Medical Diagnostics DOI
Bakr Ahmed Taha, Ali J. Addie, Surjeet Chahal

et al.

Journal of Biotechnology, Journal Year: 2025, Volume and Issue: 400, P. 29 - 47

Published: Feb. 15, 2025

Language: Английский

Citations

2

Biodegradable, Humidity‐Insensitive Mask‐Integrated E‐Nose for Sustainable and Non‐Invasive Continuous Breath Analysis DOI Creative Commons
Indrajit Mondal,

Adan Zoabi,

Hossam Haick

et al.

Advanced Functional Materials, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 24, 2025

Abstract Breath analysis offers a non‐invasive approach to modern diagnostics by capturing volatile organic compounds (VOCs) in exhaled breath. However, current breath technologies face challenges like humidity sensitivity, high costs, and biodegradable solutions, limiting their scalability environmental sustainability. This study presents paper‐based, biodegradable, humidity‐insensitive electronic nose (e‐nose) sensor array integrated into mask for real‐time analysis. The sensors, coated with hydrophobic polymer coating, ensure robust insensitivity humidity, enabling reliable detection of VOCs even high‐moisture environments. mask‐integrated e‐nose facilitates monitoring applications such as alcohol consumption tracking respiratory health assessment. For the latter, Tuberculosis (TB) is selected representative use case, achieving 89% accuracy disease diagnosis recovery using pre‐trained deep‐learning model. fully‐biodegradable paper‐based naturally degrades soil within months, underscoring its eco‐friendly design suitability disposable monitoring. work introduces sustainable, user‐friendly potential personalized healthcare

Language: Английский

Citations

2

Qualitative and Quantitative Transformer-CNN Algorithm Models for the Screening of Exhale Biomarkers of Early Lung Cancer Patients DOI
Lei Li,

Fangting Zhu,

Bainan Tong

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 10, 2025

Electronic nose (E-nose) has been applied many times for exhale biomarker detection lung cancer, which is a leading cause of cancer-related mortality worldwide. These noninvasive breath testing techniques can be used the early diagnosis cancer patients and help improve their five year survival. However, there are still key challenges to addressed, including accurately identifying kind volatile organic compounds (VOCs) biomarkers in human-exhaled concentrations these VOCs, may vary at different stages cancer. Recent research mainly focused on E-nose based metal oxide semiconductor sensor array with proposed single gas qualitative quantitative algorithms, but few breakthroughs multielement gaseous mixtures. This work proposes two hybrid deep-learning models that combine Transformer CNN algorithms identification VOC types quantification concentrations. The classification accuracy model reached 99.35%, precision 99.31%, recall was 99.00%, kappa 98.93%, all higher than those comparison like AlexNet, MobileNetV3, etc. achieved an average R2 0.999 RMSE only 0.109 mixed gases. Otherwise, parameter count FLOPs 0.7 50.28 M, respectively, this were much lower models. detailed experiments demonstrated potential our screening stage

Language: Английский

Citations

1

Nanomaterials in gastric cancer: pioneering precision medicine for diagnosis, therapy, and prevention DOI

Tiantian Liu,

Ying-Qiu Gu, Zaili Yang

et al.

Medical Oncology, Journal Year: 2025, Volume and Issue: 42(4)

Published: March 6, 2025

Language: Английский

Citations

1

Nano biosensors: Classification, electrochemistry, nanostructures, and optical properties DOI Creative Commons
Ahmed Mahdi Rheima, Zainab T. Al‐Sharify, Ameen Alwan Mohaimeed

et al.

Results in Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 103428 - 103428

Published: Nov. 1, 2024

Language: Английский

Citations

8

The public are receptive to risk-based innovations: a multi-methods exploration of anticipated acceptability and uptake of novel technologies for cancer early detection in symptomatic and asymptomatic scenarios DOI Creative Commons
Rebecca A. Dennison, Reanna J. Clune,

J. Tung

et al.

Frontiers in Cancer Control and Society, Journal Year: 2025, Volume and Issue: 3

Published: Feb. 12, 2025

Introduction New technologies and innovations are emerging that enable stratification of individuals based on their risk cancer screening or diagnostic investigations to be targeted those at greatest need. This study aimed explore, in depth, attitudes the UK public toward this concept; specifically, anticipated acceptability uptake, including barriers enablers uptake. Methods A survey was completed independently by a representative population sample alongside researcher think aloud interviews. Participants considered three six exemplars assessment: polygenic scores, geodemographic segmentation, continuous biomarker monitoring, minimally invasive tests, artificial intelligence analysis medical records, wearable devices. Questions about likelihood taking up assessment, risk-stratified healthcare, comfort results being used within healthcare generally were set asymptomatic then symptomatic scenarios. Descriptive statistics multivariable logistic regression explore differences between contexts impact individual characteristics. Interviews analyzed using codebook thematic guided Theoretical Framework Acceptability. Free-text comments also thematically. Results 999 participants 21 Most extremely somewhat likely take assessments, ranging from 62.0% for segmentation 85.2% tests scenario, 64.2% 94.0% scenario. Acceptability referral pathways followed similar pattern, as did with widely. Qualitative analyses showed risk-based approach viewed proactive logical. Tests requiring low burden preferred, although most not consider any too high, particularly context. Conclusions Risk-based early detection intuitive. Study would engage support use stratification, decisions symptom investigations. These findings justify promote ongoing research develop these highlight features increase acceptability.

Language: Английский

Citations

1

Interdisciplinary Approach to Monkeypox Prevention: Integrating Nanobiosensors, Nanovaccines, Artificial Intelligence, Visual Arts, and Social Sciences DOI Creative Commons
Vishal Chaudhary,

Lucky Lucky,

Harsh Sable

et al.

Small Structures, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 19, 2025

To effectively address crisis emergence of new virus such as monkeypox, a collective and collaborative effort between scientists, engineers, innovators, artists from all ages, regions, diverse fields is required. This review explores holistic approach to addressing the monkeypox by integrating nanobiosensors, artificial intelligence, visual arts, humanities, social sciences. Traditional diagnostic methods are often limited time, accessibility, accuracy, but advancement point‐of‐care smart nanobiosensors offers promising shift toward rapid, precise, accessible diagnostics. They enhance ability screen, diagnose, monitor infections efficiently, contributing better disease management. Beyond technological innovation, essential role sciences in fostering public engagement, understanding, acceptance tools emphasized. Visual arts can illustrate scientific concepts, making them more relatable, while storytelling through various media reduce stigma promote preventive measures. Social provide insights into cultural attitudes, behaviors, health challenges, ensuring that solutions integrated communities. By combining these disciplines, this presents comprehensive framework for resilient global system aligns with One Health principles, emphasizing interconnectedness human, animal, environmental health.

Language: Английский

Citations

1

Development and application of novel biosensors for enhanced detection in medical diagnostics DOI
A.M. Elbasiony, Sarah Alharthi, Mohamed Mohamady Ghobashy

et al.

Microchemical Journal, Journal Year: 2024, Volume and Issue: unknown, P. 111938 - 111938

Published: Oct. 1, 2024

Language: Английский

Citations

6

Nanostructured photonics Probes: A transformative approach in neurotherapeutics and brain circuitry DOI
Bakr Ahmed Taha, Ali J. Addie, A Saeed

et al.

Neuroscience, Journal Year: 2024, Volume and Issue: 562, P. 106 - 124

Published: Oct. 28, 2024

Language: Английский

Citations

5