AI Article Synopsis

  • - The article discusses the potential for creating integrated educational programs that combine various disciplines with traditional medical subjects.
  • - This interdisciplinary approach aims to enhance the curriculum by including knowledge from different scientific fields.
  • - Research shows that this method results in a broader range of professional skills and competencies, improving career readiness and job placement for graduates.

Article Abstract

The article considers possibilities of forming integrated educational programs of personnel training. The integration supposes interdisciplinary approach and inclusion within curricula, besides medical subjects, disciplines from different fields of science. As practice demonstrates, this approach provides larger spectrum of professional knowledge, skills and competencies and contributes into better career guidance and subsequent employment of graduates.

Download full-text PDF

Source
http://dx.doi.org/10.32687/0869-866X-2024-32-4-833-837DOI Listing

Publication Analysis

Top Keywords

[the integrated
4
integrated programs
4
programs medical
4
medical education
4
education modern
4
modern trends
4
trends development
4
development prospects]
4
prospects] article
4
article considers
4

Similar Publications

In the present study, we identified 22 significant SNPs, eight stable QTLs and 17 potential candidate genes associated with 100-seed weight in soybean. Soybean is an economically important crop that is rich in seed oil and protein. The 100-seed weight (HSW) is a crucial yield contributing trait.

View Article and Find Full Text PDF

Early cancer detection substantially improves the rate of patient survival; however, conventional screening methods are directed at single anatomical sites and focus primarily on a limited number of cancers, such as gastric, colorectal, lung, breast, and cervical cancer. Additionally, several cancers are inadequately screened, hindering early detection of 45.5% cases.

View Article and Find Full Text PDF

A real-time approach for surgical activity recognition and prediction based on transformer models in robot-assisted surgery.

Int J Comput Assist Radiol Surg

January 2025

Advanced Medical Devices Laboratory, Kyushu University, Nishi-ku, Fukuoka, 819-0382, Japan.

Purpose: This paper presents a deep learning approach to recognize and predict surgical activity in robot-assisted minimally invasive surgery (RAMIS). Our primary objective is to deploy the developed model for implementing a real-time surgical risk monitoring system within the realm of RAMIS.

Methods: We propose a modified Transformer model with the architecture comprising no positional encoding, 5 fully connected layers, 1 encoder, and 3 decoders.

View Article and Find Full Text PDF

Motivation: Fine-mapping aims to prioritize causal variants underlying complex traits by accounting for the linkage disequilibrium of GWAS risk locus. The expanding resources of functional annotations serve as auxiliary evidence to improve the power of fine-mapping. However, existing fine-mapping methods tend to generate many false positive results when integrating a large number of annotations.

View Article and Find Full Text PDF

Elevated MRPS23 expression facilitates aggressive phenotypes in breast cancer cells.

Cell Mol Biol (Noisy-le-grand)

January 2025

Department of Integrative Medicine, Huashan Hospital, Fudan University, Shanghai, China.

Mitochondrial ribosomal protein S23 (MRPS23), encoded by a nuclear gene, is a well-known driver of proliferation in cancer. It participates in mitochondrial protein translation, and its expression association has been explored in many types of cancer. However, MRPS23 expression associations are rarely reported in breast cancer (BC).

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!