Results 71 to 80 of about 5,392,262 (336)

Molecular imaging predicts trastuzumab‐deruxtecan (T‐DXd) response in head and neck cancer xenograft models

Molecular Oncology, EarlyView.
Trastuzumab‐deruxtecan, a HER2‐targeting antibody‐drug conjugate, shows promising antitumor activity in head and neck squamous cell carcinoma with low HER2 expression. In vitro and in vivo studies demonstrated dose‐dependent cell death and tumor growth reduction in low HER2‐expressing cell lines, which correlated with drug accumulation measured using a
Abdullah Bin Naveed, Lucas Mani, Muhammad Bilal Mirza, Ashtyn McAdoo, Takahito Kondo, Hidenori Tanaka, Nicole Meeks, Eben Rosenthal, Marisa Hom   +8 more
wiley   +1 more source

LEARNet Dynamic Imaging Network for Micro Expression Recognition

, 2019
Unlike prevalent facial expressions, micro expressions have subtle, involuntary muscle movements which are short-lived in nature. These minute muscle movements reflect true emotions of a person.
Murala, Subrahmanyam, Singh, Girdhari, Verma, Monu, Vipparthi, Santosh Kumar   +3 more
core   +1 more source

Raphin‐1 mediates the survival and sensitivity to radiation of pediatric‐type diffuse high‐grade glioma via phosphorylated eukaryotic initiation factor 2α‐dependent and ‐independent processes

Molecular Oncology, EarlyView.
Raphin‐1 reduces the survival of PED‐DHGG cells and enhances their radiation sensitivity through both PeIF2α‐dependent and PeIF2α‐independent mechanisms. Raphin‐1 sustains elevated levels of PeIF2α, contributing to its PeIF2α‐dependent effects. Additionally, raphin‐1 interacts with CReP to mediate a separate radiosensitizing pathway that operates ...
Karin Eytan, Moshe Leitner, Amos Toren, Shoshana Paglin, Michal Yalon   +4 more
wiley   +1 more source

Data‐driven performance metrics for neural network learning

International Journal of Adaptive Control and Signal Processing, EarlyView., 2023
Summary Effectiveness of data‐driven neural learning in terms of both local mimima trapping and convergence rate is addressed. Such issues are investigated in a case study involving the training of one‐hidden‐layer feedforward neural networks with the extended Kalman filter, which reduces the search for the optimal network parameters to a state ...
Angelo Alessandri, Mauro Gaggero, Marcello Sanguineti   +2 more
wiley   +1 more source

Targeting carbonic anhydrase IX/XII prevents the anti‐ferroptotic effect of stromal lactic acid in prostate carcinoma

Molecular Oncology, EarlyView.
In prostate carcinoma, lactic acid, secreted by highly glycolytic cancer‐associated fibroblasts, is imported into tumor cells through the MCT1 transporter and prevents RSL3 and erastin‐induced ferroptosis (A). Targeting of carbonic anhydrase IX/XII, the main extracellular pH regulators, in tumor and stromal cells reduces microenvironmental acidosis and
Elisa Pardella, Giuseppina Comito, Luigi Ippolito, Erica Pranzini, Marta Iozzo, Giulia Gangarossa, Francesca Virgilio, Silvia Bua, Alessio Nocentini, Giada Sandrini, Nicla Lorito, Marina Bacci, Gabriella Nesi, Pietro Spatafora, Sergio Serni, Claudiu T. Supuran, Andrea Morandi, Paola Chiarugi, Elisa Giannoni   +18 more
wiley   +1 more source

Nicotinamide N‐methyltransferase promotes drug resistance in lung cancer, as revealed by nascent proteomic profiling

Molecular Oncology, EarlyView.
AZD9291 has shown promise in targeted cancer therapy but is limited by resistance. In this study, we employed metabolic labeling and LC–MS/MS to profile time‐resolved nascent protein perturbations, allowing dynamic tracking of drug‐responsive proteins. We demonstrated that increased NNMT expression is associated with drug resistance, highlighting NNMT ...
Zhanwu Hou, Zhen Wang, Fei Yang, Xiao Han, Lei Li, Huadong Liu   +5 more
wiley   +1 more source

Time-Efficient Hybrid Approach for Facial Expression Recognition [PDF]

, 2017
Facial expression recognition is an emerging research area for improving human and computer interaction. This research plays a significant role in the field of social communication, commercial enterprise, law enforcement, and other computer interactions.
Puthanidam, Roshni Velluva
core   +1 more source

Enriched Long-term Recurrent Convolutional Network for Facial Micro-Expression Recognition

, 2018
Facial micro-expression (ME) recognition has posed a huge challenge to researchers for its subtlety in motion and limited databases. Recently, handcrafted techniques have achieved superior performance in micro-expression recognition but at the cost of ...
Khor, Huai-Qian, Lin, Weiyao, Phan, Raphael C. W., See, John   +3 more
core   +1 more source

Decrypting cancer's spatial code: from single cells to tissue niches

Molecular Oncology, EarlyView.
Spatial transcriptomics maps gene activity across tissues, offering powerful insights into how cancer cells are organised, switch states and interact with their surroundings. This review outlines emerging computational, artificial intelligence (AI) and geospatial approaches to define cell states, uncover tumour niches and integrate spatial data with ...
Cenk Celik, Shi Pan, Eloise Withnell, Hou Wang Lam, Maria Secrier   +4 more
wiley   +1 more source

Web-based visualisation of head pose and facial expressions changes: monitoring human activity using depth data

, 2016
Despite significant recent advances in the field of head pose estimation and facial expression recognition, raising the cognitive level when analysing human activity presents serious challenges to current concepts.
Kalliatakis, Grigorios, Triantafyllidis, Georgios, Vidakis, Nikolaos   +2 more
core   +1 more source