Artificial image objects for classification of schizophrenia with GWAS-selected SNVs and convolutional neural network.

In this article, we propose a new approach to analyze large genomics data. We considered individual genetic variants as pixels in an image and transformed a collection of variants into an artificial image object (AIO), which could be classified as a regular image by CNN algorithms. Using schizophrenia as a case study, we demonstrate the principles and their applications with 3 datasets.

Two-stage treatment of skeletal Class III malocclusion during the early permanent dentition.

A patient with skeletal Class III malocclusion was treated in 2 phases during the early permanent dentition. In phase 1, maxillary protraction was combined with rapid palatal expansion; in phase 2, fixed appliances were placed. The results were good posttreatment, and, 1 year later, a favorable growth tendency could be observed.

[Treatment effects with expansion and multiloop edgewise arch wire technique on skeletal class III malocclusion with mandibular deviation].

Objective: The purpose of this study is to evaluate the methods of treatment on Class III malocclusion with mandibular deviations, and clarify the principles of expansion and multiloop edgewise arch wire technique.

Methods: 8 skeletal class III with mandibular deviations patients were selected (male 3, female 5, aged 12-18). They were all corrected with maxillary expansion and multiloop edgewise arch wire technique.