AIMC Topic: Biosensing Techniques

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Smart photonic crystal fiber optical sensor for tuberculosis detection with machine learning integration.

Scientific reports
One of the most common infectious disease-related causes of death globally, particularly in low- and middle-income nations, persists: tuberculosis. At a manifestation of globalization, causes of death keep growing. As it happens, we have developed a ...

Artificial intelligence-based diagnosis of diabetic kidney disease using urinary VOC biosensor data.

BMC nephrology
BACKGROUND: Diabetic kidney disease (DKD) remains a leading cause of chronic kidney disease worldwide. However, current diagnostic methods rely on indirect biomarkers or invasive renal biopsy. This study aimed to evaluate the feasibility of urinary v...

Design and analysis of a GaN-based 2D photonic crystal biosensor integrated with machine learning techniques for detection of skin diseases.

Scientific reports
Photonic crystals are prevalent in the detection of assorted diseases and malignancies such as vitiligo and cutis laxa. A 2D photonic crystal utilizing GaN is demonstrated to detect skin diseases, highlighting its substantial relevance to the photoni...

Autocatalytic Circular DNA Powered Plasmonic CRISPR/Cas12a Platform for Ultrasensitive Non-Nucleic Acid Target Sensing.

Angewandte Chemie (International ed. in English)
CRISPR/Cas12a-based detection of non-nucleic acid targets faces two major challenges: 1) limited sensitivity due to the inherent inability to pre-amplify non-nucleic acid targets, and 2) suboptimal performance of traditional reporters caused by photo...

Recent Advances in Oxidase-like Nanozymes: Mechanisms, Prediction Models, and Applications.

ACS applied materials & interfaces
Nanozymes, defined as nanomaterials exhibiting intrinsic enzyme-like catalytic properties, represent a rapidly expanding interdisciplinary frontier. Since the initial discovery of peroxidase-like nanozymes, a wide variety of nanomaterials have demons...

Emerging trends in AI-integrated optical biosensors for point-of-care diagnostics: current status and future prospects.

Chemical communications (Cambridge, England)
Optical biosensors have emerged as a transformative class of point-of-care diagnostic (POCD) devices, offering sensitive, specific, and rapid detection of diseases. The integration of optical biosensors with artificial intelligence (AI) brings a new ...

Construction of a Minimal Sensor Array Using Fingerprint Protein Corona on Nanostars for Detecting Protein Isoforms and Disease States.

ACS nano
Signature-based protein detection coupled with machine learning algorithms has revolutionized traditional sensing methods, providing rapid, inexpensive, and selectivity-driven detection without the use of specialized equipment. This strategy leverage...

Ultrasensitive Nucleic Acid Testing: From Foundational Research to Clinical Translation.

ACS nano
The ability to detect nucleic acids at ever-lower detection limits is crucial in molecular science, enabling disease management to shift from reactive response to proactive prediction and personalized medicine. This review synthesizes the technologic...

Nanosensor-Based Pattern-Generating Probe Accelerates Sepsis Diagnosis.

ACS nano
Biomimetic optical sensor arrays hold promising potential in differentiating nuances within intricate mixtures and biosamples. Nonetheless, developing a standalone pattern-generating sensor for multianalyte identification in clinical biofluids, witho...

QDs fluorescent immunosensor based on magnetic separation coupled with machine learning for aflatoxin B1 detection in vegetable oils.

Food chemistry
Aflatoxin B1 (AFB1) is a common mycotoxin frequently found in vegetable oils. It poses a severe threat to public health, therefore there is a need for rapid and sensitive detection methods. In this study, a novel competitive immunofluorescent biosens...