関連する実験動画

Updated: Jul 8, 2026

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research
05:25

Author Spotlight: Expanding the Scope of Multiplex Immunoassays for Lyme Borreliosis Diagnostics and Pathogen Research

Published on: July 14, 2023

1.9K

パイロット研究:シフィリス治療結果の正確な評価のためにTreponema pallidum抗原を機械学習モデルに組み込む

Jiangchen Yao1,2, Dingfa Deng3, Han Yu2

  • 1Department of Clinical Laboratory Medicine, Affiliated Changsha Central Hospital of University of South China, Changsha 410004, P.R. China.

iScience
|January 5, 2026
PubMed
まとめ

No abstract available in PubMed .

キーワード:
人工知能の応用病気医療情報学

さらに関連する動画

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.4K
Author Spotlight: Advancing Syphilis Research — Innovations in Treponema pallidum Cultivation and Genetic Engineering09:45

Author Spotlight: Advancing Syphilis Research — Innovations in Treponema pallidum Cultivation and Genetic Engineering

Published on: January 24, 2025

6.5K

関連する概念動画

Rapid Identification of Pathogens01:25

Rapid Identification of Pathogens

MALDI-TOF MS has transformed clinical microbiology by offering a rapid and reliable method for pathogen identification. The traditional approach to microbial identification typically involves time-consuming culture techniques and biochemical tests, which can delay the initiation of appropriate antimicrobial therapy. MALDI-TOF MS avoids these delays by using characteristic ribosomal protein mass patterns of microbial cells, enabling accurate species-level identification within minutes.Principle...