Results 241 to 250 of about 391,544 (276)

Certified randomness using a trapped-ion quantum processor. [PDF]

Nature
Liu M, Shaydulin R, Niroula P, DeCross M, Hung SH, Kon WY, Cervero-Martín E, Chakraborty K, Amer O, Aaronson S, Acharya A, Alexeev Y, Berg KJ, Chakrabarti S, Curchod FJ, Dreiling JM, Erickson N, Foltz C, Foss-Feig M, Hayes D, Humble TS, Kumar N, Larson J, Lykov D, Mills M, Moses SA, Neyenhuis B, Eloul S, Siegfried P, Walker J, Lim C, Pistoia M.   +31 more
europepmc   +1 more source

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

FEBS Open Bio, EarlyView.
This review highlights how foundation models enhance predictive healthcare by integrating advanced digital twin modeling with multiomics and biomedical data. This approach supports disease management, risk assessment, and personalized medicine, with the goal of optimizing health outcomes through adaptive, interpretable digital simulations, accessible ...
Sakhaa Alsaedi, Xin Gao, Takashi Gojobori   +2 more
wiley   +1 more source

m2ST: dual multi-scale graph clustering for spatially resolved transcriptomics. [PDF]

Bioinformatics
Zhang W, Zhang Z, Yang H, Zhang T, Jiang S, Qiao N, Deng Z, Pan X, Shen HB, Yu DJ, Wang S.   +10 more
europepmc   +1 more source

RETRACTION: lncRNA‐PDPK2P Promotes Hepatocellular Carcinoma Progression Through the PDK1/AKT/Caspase 3 Pathway

Molecular Oncology, EarlyView.
RETRACTION: W. Pan, W. Li, J. Zhao, Z. Huang, J. Zhao, S. Chen, C. Wang, Y. Xue, F. Huang, Q. Fang, J. Wang, D. Brand, and S. G. Zheng, “lncRNA‐PDPK2P Promotes Hepatocellular Carcinoma Progression Through the PDK1/AKT/Caspase 3 Pathway,” Molecular Oncology 13, no. 10 (2019): 2246–2258, https://doi.org/10.1002/1878-0261.12553.
wiley   +1 more source

Bioengineering facets of the tumor microenvironment in 3D tumor models: insights into cellular, biophysical and biochemical interactions

FEBS Open Bio, EarlyView.
The tumor microenvironment is a dynamic, multifaceted complex system of interdependent cellular, biochemical, and biophysical components. Three‐dimensional in vitro models of the tumor microenvironment enable a better understanding of these interactions and their impact on cancer progression and therapeutic resistance.
Salma T. Rafik, Deniz Bakkalci, Alexander J. MacRobert, Umber Cheema   +3 more
wiley   +1 more source

Author Correction: A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data. [PDF]

Nat Commun
Wu Y, Liu Y, Yang Y, Yao MS, Yang W, Shi X, Yang L, Li D, Liu Y, Yin S, Lei C, Zhang M, Gee JC, Yang X, Wei W, Gu S.   +15 more
europepmc   +1 more source

Comparative single‐cell transcriptomic profiling of patient‐derived renal carcinoma cells in cellular and animal models of kidney cancer

FEBS Open Bio, EarlyView.
We generated and characterized clear cell renal cell carcinoma models using the patient‐derived RCC243 cell line—including cell culture, orthotopic, and metastatic tumors—via single‐cell RNA‐sequencing for comparisons between models and patient tumor datasets.
Richard Huang, Lynn Kee, Alexander Gont, Jalna Meens, Fraser G. Ferens, Meredith S. Irwin, Laurie Ailles, Scott A. Yuzwa, Claire M. Robinson, Michael Ohh   +9 more
wiley   +1 more source

Optimizing Bi-LSTM networks for improved lung cancer detection accuracy. [PDF]

PLoS One
Diao S, Wan Y, Huang D, Huang S, Sadiq T, Khan MS, Hussain L, Alkahtani BS, Mazhar T.   +8 more
europepmc   +1 more source

METTL3 knockout accelerates hepatocarcinogenesis via inhibiting endoplasmic reticulum stress response

FEBS Open Bio, EarlyView.
Liver‐specific knockout of N6‐methyladenosine (m6A) methyltransferase METTL3 significantly accelerated hepatic tumor initiation under various oncogenic challenges, contrary to the previously reported oncogenic role of METTL3 in liver cancer cell lines or xenograft models. Mechanistically, METTL3 deficiency reduced m6A deposition on Manf transcripts and
Bo Cui, Silin Tu, Haibo Li, Zhancheng Zeng, Ruiqi Xiao, Jing Guo, Xiaoqi Liang, Chang Liu, Lijie Pan, Wenjie Chen, Mian Ge, Xiaofen Zhong, Linsen Ye, Huaxin Chen, Qi Zhang, Yan Xu   +15 more
wiley   +1 more source

Author Correction: Universal conditional networks (UniCoN) for multi-age embryonic cartilage segmentation with sparsely annotated data. [PDF]

Sci Rep
Sapkota N, Zhang Y, Zhao Z, Gomez MJ, Hsi Y, Wilson JA, Kawasaki K, Holmes G, Wu M, Jabs EW, Richtsmeier JT, Perrine SMM, Chen DZ.   +12 more
europepmc   +1 more source