AIMC Topic: Biosensing Techniques

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Electrical grid-independent machine learning-assisted wearable gait analysis device with triboelectric-electromagnetic hybrid energy harvester.

Biosensors & bioelectronics
In this study, an Electrical grid-independent Machine learning-assisted Wearable device for Gait analysis (EMWG) with a ground reaction force sensor is presented. For gait analysis, a multi-layer perceptron is identified as the optimal model among va...

Dual-Mode SERS Lateral Flow Aptamer Assay with Machine Learning-Driven Highly Sensitive Interferon-γ Detection.

ACS synthetic biology
Interferon-γ (IFN-γ), a key pro-inflammatory cytokine, is widely recognized as a critical biomarker for diagnosing and monitoring various immune-related conditions. However, its typically low concentrations in biological fluids─at the picogram-per-mi...

Corona Dynamics of Nanoparticles and Their Functional Design Space in Molecular Sensing.

ACS nano
As nanomaterials increasingly interact with complex biological environments, understanding and designing their interfacial layers is critical for enabling functional and responsive behaviors. The protein corona, a spontaneously formed biomolecular la...

Machine-learning-assisted nanopore sensing solution for the determination of matrix metalloproteinase.

Biosensors & bioelectronics
Diabetic kidney disease (DKD) is a serious complication of diabetes patients with long time duration, presenting with albuminuria and/or a reduced estimated glomerular filtration rate (eGFR), and without symptoms of other primary causes of kidney inj...

Machine learning-assisted SERS-based dual-aptamer biosensor for ultrasensitive clinical screening of breast cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
Breast cancer remains a global health challenge, with an increasing number of cases necessitating innovative approaches to streamline patient management prior to treatment. In this study, we present a comprehensive aptamer-involved surface-enhanced R...

Detection of fasting blood sugar using a microwave sensor and convolutional neural network.

Scientific reports
Monitoring of fasting blood sugar (FBS) is a critical component in the diagnosis and management of diabetes, one of the most widespread chronic diseases globally. Microwave sensing-particularly through microstrip-based sensors-has recently gained att...

From droplets to diagnosis: AI-driven imaging and system integration in digital nucleic acid amplification testing.

Biosensors & bioelectronics
Digital nucleic acid amplification testing (dNAAT)-including digital PCR and isothermal techniques-has transformed precision diagnostics by enabling single-molecule quantification. However, its widespread adoption in point-of-care testing (POCT) rema...

DNA-Mediated Bioinspired MXene Gas Sensor Array with Machine Learning for Noninvasive Cancer Recognition.

ACS nano
Noninvasive odor sensing is important in environmental monitoring and medical diagnosis. The two-dimensional material MXene is widely used due to its unique sensing properties but has limitations in specifically recognizing a certain gas. This study ...

Applications of biosensing in assessing food flavor: advancements, challenges, and prospects.

Food chemistry
The increasing demand for high-quality, flavorful food products has driven improvements in flavor detection technologies. Traditional methods, such as sensory analysis and instrument-based techniques, often lack thorough quantitative assessments. Thi...

High-entropy nanozyme biosensors: Machine learning-assisted design and stimulus-responsive applications.

Colloids and surfaces. B, Biointerfaces
High-entropy nanozymes (HENs) have emerged as a revolutionary class of bio-inspired catalysts that integrate multi-enzyme mimetic activities with environmental responsiveness, creating transformative opportunities for next-generation biosensing techn...