Results 201 to 210 of about 25,511 (263)

Special Issue on "Machine Learning-Aided Medical Image Analysis". [PDF]

Bioengineering (Basel)
Mahbod A, Woitek R.
europepmc   +1 more source

Single‐cell DNA methylation profiling: Technologies, computation, and applications in precision oncology

Molecular Oncology, EarlyView.
Single‐cell DNA methylation (scDNAme) profiling maps epimutational clonal evolution, revealing mechanisms of malignancy and therapeutic resistance across diverse cancer types. By providing a high‐resolution landscape of intratumoral heterogeneity, these technologies empower precise patient stratification, guide the development of enhanced ...
Ik Soo Kim
wiley   +1 more source

Interferon beta drives therapy resistance in a patient‐derived model of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
Interferon type 1 (IFN‐1) production and signaling is associated with the acquisition of therapy resistance, following chronic DNA damage, via Interferon‐related DNA damage resistance signature (IRDS) gene expression. An alternative, DNA damage‐independent role of sustained IFN‐1 mediated resistance was identified and characterized by the emergence of ...
Ashlyn Conant, Tise Suzuki, Kiera McGivney, V. S. S. Abhinav Ayyadevara, Sharon Asariah, Jay Deng, Ethan Nyein, Jacqueline Coats, Gary Yu, Yevgeniya J. Ioffe, Christian Hurtz, Juli J. Unternaehrer   +11 more
wiley   +1 more source

Accuracy and Potential of Hardware-Efficient Ansätze for Molecular Ground and Excited State Electronic Structure Calculations: Benchmark and Analysis of High-Depth Quantum Circuits. [PDF]

ACS Omega
Bistafa C, Takahashi N, Koyama J, Sato S, Okuno Y.   +4 more
europepmc   +1 more source

CEACAM1 participation in breast cancer progression

Molecular Oncology, EarlyView.
In invasive breast cancer (BC), CEACAM1 shifts from an apical to a uniform membranous/cytoplasmic pattern, or is lost, as tumors dedifferentiate, inversely tracking the Ki‐67 proliferative index. In MCF‐7 cells, only CEACAM1‐4L suppresses proliferation, repressing cell cycle and growth factor genes.
Mykola Lyndin, Irina Kube‐Golovin, Anatolii Romaniuk, Gunther Wennemuth   +3 more
wiley   +1 more source

Quantum speedup for nonreversible Markov chains. [PDF]

Nat Commun
Claudon B, Piquemal JP, Monmarché P.
europepmc   +1 more source

Artificial sparse neuron dendrites for visual information inference. [PDF]

Sci Adv
Wang R, Liu G, Wang S, Jing X, Sun J, Li D, Ge K, Shen X, Qiu M, Wang H, Zhu B.   +10 more
europepmc   +1 more source

Advantages of two quantum programming platforms in quantum computing and quantum chemistry. [PDF]

J Cheminform
Wang PH, Wu WY, Lee CY, Hong JC, Tseng YJ.   +4 more
europepmc   +1 more source

The Potential Role of Quantum Computing in Biomedicine and Healthcare: The Next Frontier Beyond Artificial Intelligence. [PDF]

Cureus
Suvvari TK, Konakanchi VSBP, Muppavarapu RS, Arigapudi N.   +3 more
europepmc   +1 more source

Artificial Intelligence in Gynecologic Oncology: Current Applications, Clinical Challenges, and Future Perspectives. [PDF]

Cureus
Alefragkis D, Mpourazanis G, Serra P, Flindris S, Schulz-Wendtland R, Goshi F, Papanikolaou A, Papalexis P, Ntanasis A, Bartzi D, Vogiatzis R, Laganà AS, Korkontzelos I, Tsirkas P.   +13 more
europepmc   +1 more source