Results 221 to 230 of about 2,304,207 (332)
Advances in integrating artificial intelligence into 3D bioprinting are systematically reviewed here. Machine learning, computer vision, robotics, natural language processing, and expert systems are examined for their roles in optimizing bioprinting parameters, real‐time monitoring, quality control, and predictive maintenance.
Joao Vitor Silva Robazzi +10 more
wiley +1 more source
Differential carbon source utilization drives metabolic state and resuscitation in antibiotic-tolerant persister cells. [PDF]
Sun Y, Roy S, Yang Q, Tang YJ, Ren D.
europepmc +1 more source
Next‐Generation Bio‐Reducible Lipids Enable Enhanced Vaccine Efficacy in Malaria and Primate Models
Structure–activity relationship (SAR) optimization of bio‐reducible ionizable lipids enables the development of highly effective lipid nanoparticle (LNP) mRNA vaccines. Lead LNPs show superior tolerability and antibody responses in rodents and primates, outperforming approved COVID‐19 vaccine lipids.
Ruben De Coen +30 more
wiley +1 more source
The effect of HNF4α knockout in beta cells is age and sex dependent. [PDF]
Villaca CBP +3 more
europepmc +1 more source
Constructive graph labeling using double cosets
H. Brown, L. Hjelmeland, L. Masinter
semanticscholar +1 more source
This work presents self‐propelled CRISPR/Cas9‐functionalized Au–MRs for rapid, amplification‐free, “on‐the‐fly” DNA detection. By harnessing motion‐assisted signal recovery, the platform achieved the limit of detection in low fM DNA concentrations, enabling detection across a wide dynamic range within only 5 min, which is significantly faster than any ...
Jyoti +3 more
wiley +1 more source
Towards scalable and cross-lingual specialist language models for oncology. [PDF]
Rohanian M +5 more
europepmc +1 more source
McKay ’ s Canonical Graph Labeling Algorithm
S. Hartke, A. J. Radcliffe
semanticscholar +1 more source
A note on the hardness results for the labeled perfect matching problems in bipartite graphs [PDF]
Jérôme Monnot
openalex
Steep‐Switching Memory FET for Noise‐Resistant Reservoir Computing System
We demonstrate the steep‐switching memory FET with CuInP2S6/h‐BN/α‐In2Se3 heterostructure for application in noise‐resistant reservoir computing systems. The proposed device achieves steep switching characteristics (SSPGM = 19 mV/dec and SSERS = 23 mV/dec) through stabilization between CuInP2S6 and h‐BN.
Seongkweon Kang +6 more
wiley +1 more source

