Deep learning based radiomics for gastrointestinal cancer diagnosis and treatment: A minireview.

Gastrointestinal (GI) cancers are the major cause of cancer-related mortality globally. Medical imaging is an important auxiliary means for the diagnosis, assessment and prognostic prediction of GI cancers. Radiomics is an emerging and effective technology to decipher the encoded information within medical images, and traditional machine learning is the most commonly used tool.

[Aspirin-PEI-beta-CyD as a novel non-viral vector for gene transfer].

Objective: To develop a novel non-viral gene delivery vector based on PEI-beta-CyD as backbone modified with aspirin, and to identify its physicochemical characters.

Methods: 1, 1-carbonyldiimidazole (CDI) was used to bind aspirin onto PEI-beta-CyD to form PEI-beta-CyD-ASP. (1)H-NMR, FT-IR, UV and XRD were used to confirm the polymer structure.

[Poly-aspartamide-glutamic acid grafted low molecular weight polyethylenimine as a novel non-viral gene vector].

Objective: To develop a novel gene delivery vector with poly-aspartamide-glutamic acid and polyethylenimine as the backbone.

Methods: alpha, beta-poly-(N-2-hydroxypropyl)-D, L-aspartamide-glutamic acid (PHPAG) was synthesized and low molecular weight polyethylenimine (PEI 1.8 kDa) was grafted to form PHPAG-PEI 1800.

[Genetic diversity and differentiation of Fagopyrum tataricum and its related species in China].

Genetic diversity and differentiation among 50 populations of total 8 species and 1 variety of Fagopyrum tataricum and its related species from 27 counties of Sichuan and Yunnan provinces, Southwest China were investigated using allozyme electrophoresis. Seven enzymesat 12 loci were assessed. The result shows that among 8 species and 1 variety, inbreeding coefficient is -0.