Advanced Functional Materials, EarlyView.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
Predicting PROTAC off-target effects via warhead involvement levels in drug-target interactions using graph attention neural networks. [PDF]
Comput Struct Biotechnol JHu Y, Didi K, Cribbs AP, Sun J.
europepmc +1 more source
Resolving data bias improves generalization in binding affinity prediction. [PDF]
Nat Mach IntellGraber D +5 more
europepmc +1 more source
Epac2 Deficiency Compromises Adaptation to Dietary Acidification by Decreasing H+ Transport in the Renal Nephron. [PDF]
Function (Oxf)Pyrshev K +7 more
europepmc +1 more source
On the Hardness of Problems Around S-Clubs on Split Graphs
Cristina Bazgan +3 more
openalex +1 more source
Graph neural networks with configuration cross-attention for tensor compilers. [PDF]
Front Artif IntellKhizbullin D +4 more
europepmc +1 more source
On $\{k\}$-Roman graphs: complexity of recognition and the case of split graphs [PDF]
Štorgel, Kenny Bešter +6 more
openalex
Comparison of short-read and long-read metagenome assemblies in a natural soil community highlights systematic bias in recovery of high-diversity populations. [PDF]
NAR Genom BioinformBerg M +4 more
europepmc +1 more source
The sandpile model on the complete split graph: $q,t$-Schr\"oder polynomials, sawtooth polyominoes, and a cyclic lemma [PDF]
Henri Derycke +2 more
openalex
Variations of split-coloring in permutation graphs
, 2006 Marc Demange, Tınaz Ekim, D. de Werra
openalex +1 more source