Results 161 to 170 of about 1,246,426 (217)

A Hybrid Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM)-Attention Model Architecture for Precise Medical Image Analysis and Disease Diagnosis. [PDF]

Diagnostics (Basel)
Hayat MT, Allawi YM, Alamro W, Sultan SM, Abadleh A, Kang H, Zreikat AI.   +6 more
europepmc   +1 more source

Extracellular matrix remodeling and immune reprogramming drive residual tumor progression of liver cancer after incomplete microwave ablation

Molecular Oncology, EarlyView.
Incomplete microwave ablation (iMWA) of liver cancer triggers a biphasic progression in residual tumors. At Day 3, the microenvironment is characterized by acute inflammatory responses and extracellular matrix (ECM) remodeling. By Day 14, a profound shift occurs toward oncogenic signal transduction and immunosuppression, marked by macrophage ...
Yu Liu, Yubei He, Nikolaus Berndt, Michael Mülleder, Kathrin Textoris‐Taube, Jing Guo, Matthias Stechele, Justus Ramtke, Shraga Nahum Goldberg, Lynn Jeanette Savic   +9 more
wiley   +1 more source

Class-aware multi-source domain adaptation algorithm for medical image analysis using reweighted matrix matching strategy. [PDF]

PLoS One
Zhang H, Li Y, He L, Zhang W, Shen Y, Xing L.   +5 more
europepmc   +1 more source

Unique circulating miRNAome signatures captured with distinct molecular states in Lynch syndrome and sporadic colorectal cancer

Molecular Oncology, EarlyView.
Circulating microRNA profiles distinguish nonmalignant Lynch syndrome from cancer‐associated Lynch syndrome, sporadic colorectal cancer, and healthy controls. Age‐stratified analysis reveals disease‐specific regulatory states, and a six‐miRNA panel shows concordant separation in an independent colorectal tissue cohort.
Ramadhani Salum Chambuso, Md Shohel Ul Islam, Rosa M Xicola, Raj Ramesar, Xavier Llor, Sinclair Steele   +5 more
wiley   +1 more source

A privacy preserving machine learning framework for medical image analysis using quantized fully connected neural networks with TFHE based inference. [PDF]

Sci Rep
Selvakumar S, Senthilkumar B.
europepmc   +1 more source

SPHINX31 acts as a SRPK1 inhibitor targeting the ATR/DNA‐PKcs/CHK1 replicative checkpoint to inhibit cell growth in non‐small cell lung cancer

Molecular Oncology, EarlyView.
The kinase SRPK1 directly interacts with the protein TOPBP1 and regulates the pre‐mRNA splicing of WIZ thereby contributing to the activation of the ATR/CHK1 replicative checkpoint in response to replicative stress. This allows cancer cells' genomic stability and survival.
Amani Shreim, Aurelie Genoux, Nadiia Zubchuk, Haoyang Zheng, Perla Salameh, Theo Ziegelmeyer, Fabien Dalonneau, Margot Rouchette, Christiane Oddou, Simona Miron, Helene Polveche, Adiilah Mamode Cassim, Carmen Garrido, Eleni Nikolakaki, Didier Auboeuf, Tao Jia, Sophie Zinn‐Justin, Beatrice Eymin   +17 more
wiley   +1 more source

Self-supervised identification and elimination of harmful datasets in distributed machine learning for medical image analysis. [PDF]

NPJ Digit Med
Souza R, Stanley EAM, Winder AJ, Kang C, Amador K, Ohara EY, Dagasso G, Camicioli R, Monchi O, Ismail Z, Wilms M, Forkert ND.   +11 more
europepmc   +1 more source

Mutant p53R273H disrupts PDPK1 homodimerization and contributes to PDPK1 activation

Molecular Oncology, EarlyView.
How mutant p53R273H drives AKT signaling is unclear. We show that p53R273H, but not wild‐type, directly binds PDPK1 via a mutation‐dependent conformational change. This interaction disrupts inhibitory PDPK1 homodimerization and enhances AKT phosphorylation.
Mei Chee Lim, Alvin Kunyao Guo, Yoko Itahana, Srinivasaraghavan Kannan, Valerie Goh, Mingmin Ong, Terina Yan Wen Tay, Weiying Ye, Sabhashina Radha Krishnan, Jun Nishiyama, Chandra S Verma, Koji Itahana   +11 more
wiley   +1 more source

Federated learning for medical image analysis: A survey. [PDF]

Pattern Recognit
Guan H, Yap PT, Bozoki A, Liu M.
europepmc   +1 more source