Simultaneous Determination of Four Active Ingredients in Sargentodoxa cuneata by HPLC Coupled with Evaporative Light Scattering Detection by Di-Hua Li, Yuan-Shan Lv, Jun-Hong Liu, Lei Yang, Yan Wang, Shu-Kun Zhang, Yu-Zhen Zhuo

“…With a C18 column, the analysis was performed using acetonitrile and 0.2% formic acid aqueous solution as mobile phase in gradient program at a flow rate of 0.9 mL/min. The optimum drift tube temperature of evaporative light scattering detection was at 105°C with the air flow rate of 2.5 L/min. …”
Get full text

Performance Evaluation of a Novel Sequence-Based Directional Detection Strategy for Protection of Active Distribution Networks by Kwasi Opoku, Aleksandar Dimitrovski, Maximiliano Ferrari

“…An SEL-411L relay is used to program the detection algorithm. This hardware-in-the-loop (HIL) setup is used to verify the performance of the method and the results are compared with existing directional methods…”
Get full text

Results of research work Russian society of oncomammologists “The use of artificial intelligence for early detection of breast cancer” by V. I. Pavlova, Yu. A. Belaya, A. Yu. Vorontsov, A. A. Prishchepov, S. M. Knyazev, A. A. Mikhaylov, A. V. Kovaleva, E. G. Arevshatyan, R. M. Paltuev, A. V. Chernaya, N. A. Zakharova

“…The average age of patients with suspected breast cancer was 54.8 years. Breast cancer was detected in 13 women (1.2 %), while the highest percentage of breast cancer was detected in the group with mammographic density D.…”
Get full text

Detection of Diabetic Retinopathy Using a Multi-Decision Inception-ResNet-Blended Hybrid Model by Santosh Kumar Henge, Nikhil Reddy Viraati, Musaed Alhussein, Ajay Shriram Kushwaha, Khursheed Aurangzeb, Ravleen Singh

“…Early diagnosis is crucial for reducing and preventing the progression of this condition. However, detecting DR’s early stages remains challenging due to subtle symptoms that are difficult to recognize independently. …”
Get full text

The use of RAPD markers to Detect the genetic diversity of E. coli isolates from Kirkuk city environment by Waa'd M. Raoof, Akeel H. Al-Assi, Shaimaa Monshed Morshed

Get full text

Assessment of active fire detection in Serra da Canastra National Park using MODIS and VIIRS sensors by G. S. Pinto, H. Bernini, C. G. Messias, O. A. S. Silva, P. W. Cunha, P. S. Victorino, F. Morelli

“…This study aims to validate the active fire data processed by INPE&rsquo;s <em>Queimadas</em> Program at <em>Serra da Canastra</em> National Park during the first semester of 2023. …”
Get full text

Microfluidic Systems in Cancer Diagnosis: Advancing Exosome and CTC Detection From Laboratory Research to Clinical Application by Bahareh Valinezhad Saghezi, Kamran Mansouri, Rahman Hallaj

“…Microfluidic‐based approaches have the potential to improve early cancer detection and personalized treatment strategies by efficiently collecting and isolating CTCs and extracellular vesicles (EVs), which provide critical information about cancer progression and the response to treatment. …”
Get full text

Ocular Coherence Tomography Unveils Alport Syndrome: A Critical Tool in Detecting Collagen IV Nephropathies by Abdelrahman Ibrahim, Zena Altawallbeh, Monica Patricia Revelo, Martin Gregory, Laith Al-Rabadi

Get full text

Design and Application of a Radiofrequency Spectrophotometry Sensor for Measuring Esophageal Liquid Flow to Detect Gastroesophageal Reflux by Pedro J. Fito, Ricardo J. Colom, Rafael Gadea-Girones, Jose M. Monzo, Angel Tebar-Ruiz, F. Javier Puertas, Marta Castro-Giraldez

“…This study presents a radiofrequency spectrophotometry sensor specifically designed to detect esophageal liquid flow and ionicity in real time without disrupting the patient’s daily life. …”
Get full text

5-Hydroxymethylcytosine modifications in circulating cell-free DNA: frontiers of cancer detection, monitoring, and prognostic evaluation by Danjun Song, Zhou Zhang, Jiaping Zheng, Wei Zhang, Jiabin Cai

“…Genetic and epigenetic alterations in circulating cell-free DNA (cfDNA) have emerged as transformative tools for advancing early cancer detection, monitoring, and improving patient outcomes. …”
Get full text

Machine learning-assisted early detection of keratoconus: a comparative analysis of corneal topography and biomechanical data by Arkadiusz Syta, Arkadiusz Podkowiński, Tomasz Chorągiewicz, Robert Karpiński, Jakub Gęca, Dominika Wróbel-Dudzińska, Katarzyna E Jonak, Dariusz Głuchowski, Marcin Maciejewski, Robert Rejdak, Kamil Jonak

“…Abstract Keratoconus is a progressive eye disease characterized by the thinning and bulging of the cornea, leading to visual impairment. …”
Get full text

Optical coherence tomography: new opportunities for detecting preclinical vision disorders in patients with HIV infection and tuberculosis by E. V. Sabadash, S. N. Skornyakov, I. D. Medvinskiy, S. Yu. Krasnoborova, E. A. Burylova, E. V. Telitsina

“…OCT allows early preclinical diagnosis of eye disorders (in the absence of eye complaints) in patients with tuberculosis, including those with concurrent HIV infection. Detection of choroid disorders and AVC changes in such patients allows timely prescription of therapy and prevention of pathological changes from progression.…”
Get full text

An Improved Deep Learning Unsupervised Approach for MRI Tissue Segmentation for Alzheimer&#x2019;s Disease Detection by Karan Kumar, Isha Suwalka, Adaora Uche-Ezennia, Celestine Iwendi, Cresantus N. Biamba

Get full text

GloFinder: AI-empowered QuPath plugin for WSI-level glomerular detection, visualization, and curation by Jialin Yue, Tianyuan Yao, Ruining Deng, Siqi Lu, Junlin Guo, Quan Liu, Juming Xiong, Mengmeng Yin, Haichun Yang, Yuankai Huo

“…Artificial intelligence (AI) has demonstrated significant success in automating the detection of glomeruli—key functional units of the kidney—from whole slide images (WSIs) in kidney pathology. …”
Get full text

High-Sensitivity Flow Cytometry for the Reliable Detection of Measurable Residual Disease in Hematological Malignancies in Clinical Laboratories by María Beatriz Álvarez Flores, María Sopeña Corvinos, Raquel Guillén Santos, Fernando Cava Valenciano

“…Background: Monitoring of measurable residual disease (MRD) requires highly sensitive flow cytometry protocols to provide an accurate prediction of shorter progression-free survival. High assay sensitivity generally requires rapid processing to avoid cell loss from small bone marrow sample volumes, but this requirement conflicts with the need in most clinical cytometry laboratories for long processing and acquisition times, especially when multiple MRD studies coincide on the same day. …”
Get full text

A labeled medical records corpus for the timely detection of rare diseases using machine learning approaches by Matias Rolando, Victor Raggio, Hugo Naya, Lucia Spangenberg, Leticia Cagnina

“…Most of them affect children, are chronic and progressive, and have no specific treatment. RD patients face diagnostic challenges, with an average diagnosis time of 5 years, multiple specialist visits, and invasive procedures. …”
Get full text

Microbiota as diagnostic biomarkers: advancing early cancer detection and personalized therapeutic approaches through microbiome profiling by Majid Eslami, Ramtin Naderian, Aisa Bahar, Ali Babaeizad, Solaleh Rezanavaz Gheshlagh, Valentyn Oksenych, Hamed Tahmasebi

“…Important microbial signatures, including Bacteroides fragilis and Fusobacterium nucleatum, have been linked to the development and progression of cancer, providing important information on the processes behind carcinogenesis. …”
Get full text

Detection of Non-Communicable Disease Risk Using Android-Based Application (Design of DERI PTM Application) by Feranita Utama, Windi Indah Fajar Ningsih, Widya Lionita

“…This study aimed to design a health application that the community can use for early detection of NCD risk factors, especially modifiable behavioral risk factors and metabolic risk factors. …”
Get full text

AI-Powered Eye Tracking for Bias Detection in Online Course Reviews: A Udemy Case Study by Hedda Martina Šola, Fayyaz Hussain Qureshi, Sarwar Khawaja

Get full text

Automated Detection of Center-Pivot Irrigation Systems from Remote Sensing Imagery Using Deep Learning by Aliasghar Bazrafkan, James Kim, Rob Proulx, Zhulu Lin

“…In this study, we have adopted YOLOv11 to detect the center-pivot irrigation systems using multiple remote sensing datasets, including Landsat 8, Sentinel-2, and NAIP (National Agriculture Imagery Program). …”
Get full text