Results 111 to 120 of about 47,932 (337)
A DIA‐MS‐based proteomics analysis of serum samples from GB patients and healthy controls showed that high levels of IL1R2 and low levels of CRTAC1 and HRG in serum are associated with poor survival outcomes for GB patients. These circulating proteins could serve as biomarkers for the prediction of outcome in patients with GB.
Anne Clavreul+11 more
wiley +1 more source
Federated Learning in Computational Toxicology: An Industrial Perspective on the Effiris Hackathon. [PDF]
Bassani D, Brigo A, Andrews-Morger A.
europepmc +1 more source
Non‐small cell lung cancer targeted treatment is limited to a few known genetic alterations, with few alternatives in advanced treatment lines. To direct treatment decisions by drug sensitivity testing (DST), this study compared several methods for tumor cell isolation from malignant effusions, pointing to repeated CD45+ cell depletion for effective ...
Navit Mooshayef+10 more
wiley +1 more source
Algorithmic Problems for Computation Trees
In this paper, we study three algorithmic problems involving computation trees: the optimization, solvability, and satisfiability problems. The solvability problem is concerned with recognizing computation trees that solve problems.
Mikhail Moshkov
doaj +1 more source
Special Issue of Selected Extended Papers of IJCAR 2020. [PDF]
Peltier N, Sofronie-Stokkermans V.
europepmc +1 more source
Decidability of Second-Order Theories and Automata on Infinite Trees [PDF]
Michael O. Rabin
openalex +1 more source
In luminal (ER+) breast carcinoma (BC), miRNA profiling identified miR‐195‐5p as a key regulator of proliferation that targets CHEK1, CDC25A, and CCNE1. High CHEK1 expression correlates with worse relapse‐free survival after chemotherapy, especially in patients with luminal A subtype.
Veronika Boušková+14 more
wiley +1 more source
Inhibition of protein SUMOylation has been shown to block tumorigenesis; however, the specific mechanisms by which SUMOylation controls the tumor‐initiating capacities remain elusive. Li et al. describe the role of Etv1 SUMOylation in cancer stem cells using mouse models of mammary gland tumorigenesis.
Veronika Yevdokimova, Yannick D. Benoit
wiley +1 more source
A review of data abstraction. [PDF]
Cima G, Console M, Lenzerini M, Poggi A.
europepmc +1 more source
This study presents a novel AI‐based diagnostic approach—comprehensive serum glycopeptide spectra analysis (CSGSA)—that integrates tumor markers and enriched glycopeptides from serum. Using a neural network model, this method accurately distinguishes liver and pancreatic cancers from healthy individuals.
Motoyuki Kohjima+6 more
wiley +1 more source