HER-2-Targeted Electrochemical Sensors for Breast Cancer Diagnosis: Basic Principles, Recent Advancements, and Challenges by Leila Kudreyeva, Fatima Kanysh, Aliya Sarsenbayeva, Moldir Abu, Duisek Kamysbayev, Kamilya Kedelbayeva

“…Key sensor parameters for the detection of breast cancer biomarkers are compared, such as the detection limit, linear detection range, response time, sensitivity, and other characteristics depending on the analyte being analyzed. …”
Get full text

Wearable Artificial Intelligence for Sleep Disorders: Scoping Review by Sarah Aziz, Amal A M Ali, Hania Aslam, Alaa A Abd-alrazaq, Rawan AlSaad, Mohannad Alajlani, Reham Ahmad, Laila Khalil, Arfan Ahmed, Javaid Sheikh

“…ObjectiveThis scoping review aims to provide an overview of AI-powered wearable devices used for sleep disorders, focusing on study characteristics, wearable technology features, and AI methodologies for detection and analysis. …”
Get full text

ABI-Net: Attention-Based Inception U-Net for Brain Tumor Segmentation From Multimodal MRI Images by Evans Kipkoech Rutoh, Qin ZhiGuang, Joyce C. Bore-Norton, Noor Bahadar

Get full text

Revolutionizing Sperm Analysis with AI: A Review of Computer-Aided Sperm Analysis Systems by Francisco J. Baldán, Diego García-Gil, Carlos Fernandez-Basso

“…The emergence of extensive open datasets and big data analytics has enabled the development of more robust models. …”
Get full text

Label-Free Extended Gate Field-Effect Transistor for Sensing Microcystin-LR in Freshwater Samples by Sondavid Nandanwar, Songyi Lee, Myeongkee Park, Hak Jun Kim

“…The detection limit and analytical sensitivity of the biosensor for MC-LR were found to be 0.134 ng/mL and 0.024 ng/mL, respectively. …”
Get full text

Lineament extraction and structural mapping using Landsat-9 OLI and Sentinel-1 SAR data in the Proterozoic North Singhbhum Mobile Belt, Eastern India by Nandini Choudhury, Atin Kumar Mitra, Biswajit Nath, Mark D Lindsay

“…Sentinel-1 SAR data, acquired in Interferometric Wide (IW) swath mode with dual polarization (VV and VH), was processed using Google Earth Engine, allowing for detailed analysis of surface features. The VH polarization was particularly effective in detecting fine-scale linear features due to its sensitivity to surface roughness and vegetation penetration. …”
Get full text

Metabolomics of Papanicolaou Tests for the Discovery of Ovarian Cancer Biomarkers by Samyukta Sah, Elisabeth M. Schwiebert, Samuel G. Moore, Ying Liu, David A. Gaul, Kristin L. M. Boylan, Amy P. N. Skubitz, Facundo M. Fernández

“…The cell pellets underwent a biphasic extraction, followed by an RP-LC-MS analysis, while the supernatants underwent two separate extractions and analyses, including RP-LC-MS and HILIC-LC-MS. Non-targeted features were detected in the range of 220–1000 <i>m/z</i> to determine the sensitivity and scope of the various extraction and analytical workflows, as well as evaluating residual Pap test samples as viable metabolomics biospecimens. …”
Get full text

A hybrid theoretical–numerical–experimental framework for robust health monitoring of thin-walled hollow composite members using guided waves by Akshay Prakash Kalgutkar, Shirsendu Sikdar, Sauvik Banerjee, Karl Walton, Rakesh Mishra

“…This study introduces a hybrid -numerical–experimental framework for robust detection and characterisation of barely visible damage in HCM using guided waves (GW). …”
Get full text

Screening for depression at the primary care level: Evidence for policy decision-making from a facility in Pretoria, South Africa by Bahupileng L. Mashaba, Saiendhra V. Moodley, Neo R.T. Ledibane

“…Screening for depressive features at primary level, targeting those with chronic medical conditions, history of recent stressful life events and other known risk factors may improve detection rates, lead to earlier diagnosis and improved health outcomes.…”
Get full text

A high precision method of segmenting complex postures in Caenorhabditis elegans and deep phenotyping to analyze lifespan by Bingyue Dong, Weiyang Chen

“…In experiments, WormYOLO segmented images, followed by a feature point extraction algorithm to identify changes in worm skeleton positions, ultimately quantifying behavioral features with a counting algorithm. …”
Get full text

Machine learning-based brain magnetic resonance imaging radiomics for identifying rapid eye movement sleep behavior disorder in Parkinson’s disease patients by Yandong lian, Yibin Xu, Linlin Hu, Yuguo Wei, Zhaoge Wang

Get full text

A Technology for Isolation and Analysis of Lipophilic and Hydrophilic Biologically Active Components from <i>N. sativa</i> L. Seeds. by S. V. Goryainov, C. Esparza, V. A. Ivlev, D. I. Pisarev, G. Bacorese, R. A. Abramovich, O. O. Novikov, O. G. Potanina, S. Lazar, A. V. Khromov, N. N. Boyko

“…The following methods were used as analytical methods: gas-liquid chromatography with a flame ionization detector - for the analysis of sterols and triterpenes; chromatography-mass spectrometry (gas-liquid chromatography with mass spectrometric detection) - for the study of essential oil; chromatography-mass spectrometry (high performance liquid chromatography with mass spectrometric detection) - to study flavonoids. …”
Get full text

Torsion-Driven Plectoneme Formation During Nanopore Translocation of DNA Polymers by Fei Zheng, Antonio Suma, Christopher Maffeo, Kaikai Chen, Mohammed Alawami, Jingjie Sha, Aleksei Aksimentiev, Cristian Micheletti, Ulrich F. Keyser

“…In single-molecule nanopore sensing, the detection of nucleic acid and protein analytes relies on the passage of a long biopolymer through a nanoscale aperture. …”
Get full text

Nanocrystal electrochemiluminescence Biosensor: Paving the way from lab discovery to market innovation by Abhishek Kumar, Sanket Goel

“…A biosensor is considered ideal for detecting molecules if enriched with specific characteristics crucial for accurate outputs, namely low detection limit, high sensitivity, selectivity to target analyte, reproducibility and repeatability, and performance in real samples. …”
Get full text

Prediction of hepatitis-C virus using statistical learning models by Shalini Kumari, Subhajit Das, Prashant Kumar Sonker, Agni Saroj, Mukesh Kumar

“…The empirical findings show that the RF model achieved the highest performance, with an accuracy of 96.71% with Brier score (BS) of 0.035 and Matthews correlation coefficient (MCC) of 0.849, an accuracy of 96.45% with BS of 0.031 and MCC of 0.837 and an accuracy 97.41% with BS of 0.026 and MCC of 0.947 when evaluated using all features, using selected features, and selected features with the application of the synthetic minority oversampling technique (SMOTE). …”
Get full text

On the Equilibrium State Stability of a Neural Network Model by Y. V. Bogomolov

“…In the paper, a neural network model based on three McCulloch–Pitts adder neurons is considered. Previously, the features of the model dynamics were numerically analyzed and the stability of various dynamic modes of the network with small changes of the current state was studied, including the detection of parameters specific for the chaotic system dynamics. …”
Get full text

Chiral and achiral analysis of chiral flavonoids with liquid and supercritical fluid chromatography – A review by Laurine Réset, Clément De Saint Jores, Caroline West

Get full text

Joined Spatial and Spectral Segmentation of Hyperspectral Datasets on Historical Art Objects by Lingxi Liu, Aurore Malmert, Emeline Pouyet, Silvia Mirri, Giovanni Delnevo

“…In the context of clustering and classification, the choice between spatial and spectral features hinges on data characteristics and analytical goals. …”
Get full text

Polymer planar microcavities with CdSe‐ZnS core‐shell quantum dots for label‐free vapor sensing by Laura Magnasco, Martina Martusciello, Andrea Escher, Giovanni Manfredi, Paola Lova, Davide Comoretto, Andrea Lanfranchi

“…The response to different analytes can be detected through both transmittance and photoluminescence measurements, with distinct features arising from the specific chemical and physical interactions between the sensor components and the pollutants.…”
Get full text

SPPMFN: Efficient Multimodal Financial Time-Series Prediction Network With Self-Supervised Learning by Ningxin Li, Gang Chao, Jianke Zou, Gaozhe Jiang

Get full text