Results 71 to 80 of about 3,447,355 (412)

Vertical inhibition of p110α/AKT and N‐cadherin enhances treatment efficacy in PIK3CA‐aberrated ovarian cancer cells

Molecular Oncology, Volume 19, Issue 4, Page 1132-1154, April 2025.
PIK3CA amplification and PIK3CA mutation enhance ovarian tumorigenicity through an activation of AKT, which phosphorylates YAP at Ser127. This Ser127 phosphorylation leads to the retention of YAP in the cytoplasm and triggers RAC1 activity, promoting cell migration. Additionally, AKT activation increases expression of N‐cadherin, which further enhances
Shibo Zhang, Hei Ip Hong, Victor C. Y. Mak, Yuan Zhou, Yiling Lu, Guanglei Zhuang, Lydia W. T. Cheung   +6 more
wiley   +1 more source

Deepdive: A Learning-Based Approach for Virtual Camera in Immersive Contents

Virtual Reality & Intelligent Hardware, 2022
A 360° video stream provide users a choice of viewing one’s own point of interest inside the immersive contents. Performing head or hand manipulations to view the interesting scene in a 360° video is very tedious and the user may view the interested ...
Muhammad Irfan, Muhammad Munsif
doaj  

MATHEMATICAL MORPHOLOGY BASED DIGITAL IMAGE ENHANCEMENT PROCESSING WITH CROSS SEPARATE BOUNDARY OBJECTS

ICTACT Journal on Image and Video Processing, 2022
In computer science, digital image processing is the use of computer algorithms to perform image processing on digital images. The Image processing as a subgroup or background of digital signal processing has many advantages over analog image processing.
R. Manikandan, Muruganantham Ponnusamy, Jayasri Subramaniam   +2 more
doaj   +1 more source

Integrative analysis of circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients: a comprehensive approach

Molecular Oncology, EarlyView.
This study simultaneously investigated circulating tumor cells (CTCs) and exosomes from small‐cell lung cancer (SCLC) patients. The elevated expression of JUNB and CXCR4 in CTCs was a poor prognostic factor for SCLC patients, whereas exosomal overexpression of these biomarkers revealed a high discrimination ability of patients from healthy individuals,
Dimitrios Papakonstantinou, Argyro Roumeliotou, Evangelia Pantazaka, Athanasios‐Nasir Shaukat, Athina Christopoulou, Angelos Koutras, Foteinos‐Ioannis Dimitrakopoulos, Vassilis Georgoulias, Anastasia Xagara, Evangelia Chantzara, Fillipos Koinis, Athanasios Kotsakis, Constantinos Stathopoulos, Galatea Kallergi   +13 more
wiley   +1 more source

Imaging‐Based Lensless Polarization‐Sensitive Fluid Stream Analyzer for Automated, Label‐Free, and Cost‐Effective Microplastic Classification

Advanced Intelligent Systems
The presence of microplastics in the environment is of significant concern, yet the exact extent of this pollution remains largely unknown. The ocean is of particular interest as the monitoring of microplastics presents a challenge in that in situ fluid ...
Fraser Montandon, Fred Nicolls
doaj   +1 more source

Survival Prediction for Non-Small Cell Lung Cancer Based on Multimodal Fusion and Deep Learning

IEEE Access
Non-small cell Lung Cancer (NSCLC) is one of the most common types of lung cancer, accounting for approximately 80% to 85% of lung cancer cases, and survival prediction in this cancer is an essential medical task. Traditional survival prediction methods,
Xiaopu Ma, Fei Ning, Xiaofeng Xu, Jiangdan Shan, He Li, Xiao Tian, Shuai Li   +6 more
doaj   +1 more source

Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities

IEEE Access, 2017
Smart cities are a future reality for municipalities around the world. Healthcare services play a vital role in the transformation of traditional cities into smart cities.
Muhammad Sajjad, Siraj Khan, Zahoor Jan, Khan Muhammad, Hyeonjoon Moon, Jin Tae Kwak, Seungmin Rho, Sung Wook Baik, Irfan Mehmood   +8 more
doaj   +1 more source

EADN: An Efficient Deep Learning Model for Anomaly Detection in Videos

Mathematics, 2022
Surveillance systems regularly create massive video data in the modern technological era, making their analysis challenging for security specialists.
Sareer Ul Amin, Mohib Ullah, Muhammad Sajjad, Faouzi Alaya Cheikh, Mohammad Hijji, Abdulrahman Hijji, Khan Muhammad   +6 more
doaj   +1 more source

Non-volatile Reconfigurable Digital Optical Diffractive Neural Network Based on Phase Change Material [PDF]

arXiv, 2023
Optical diffractive neural networks have triggered extensive research with their low power consumption and high speed in image processing. In this work, we propose a reconfigurable digital all-optical diffractive neural network (R-ODNN) structure.
arxiv  

Plasma‐activated media selectively induces apoptotic death via an orchestrated oxidative stress pathway in high‐grade serous ovarian cancer cells

Molecular Oncology, Volume 19, Issue 4, Page 1170-1187, April 2025.
High‐grade serous ovarian cancer (HGSOC) is the most common and aggressive type of ovarian cancer with urgent need for new treatment strategies. This study evaluates plasma‐activated media (PAM) as a novel treatment for HGSOC, showing its ability to selectively induce oxidative stress and apoptosis in HGSOC cell lines, patient ascites cells and primary
Lorena T. Davies, Raja Ganesen, John Toubia, Sung‐Ha Hong, Sushil Kumar KC, Martin K. Oehler, Carmela Ricciardelli, Endre J. Szili, Nirmal Robinson, Melissa R. Pitman   +9 more
wiley   +1 more source