Entwicklung Eines Cfdna Methylierungsmusters Für Plattenepithelkarzinome Im Kopf-Hals-Bereich (HNSCC)

Lukas Boosfeld,Kirsten Bruderek,Stephan Lang,Sven Brandau,Sengkwawoh Lueong Smiths,Cornelius Kürten

95 Jahresversammlung Deutsche Gesellschaft für Hals-Nasen-Ohren-Heilkunde, Kopf- und Hals-Chirurgie e V, Bonn Laryngo-Rhino-Otologie（2024）

Universitätsklinikum Essen | Deutsches Krebskonsortium (DKTK

Cited 0|Views12

Abstract

Einleitung Liquid Biopsies gewinnen an Relevanz für die Früherkennung, Therapie und Tumornachsorge. Die Analyse von cfDNA ist aussichtsreich, hat aber bisher kosten- und technikbedingt kaum klinische Anwendung gefunden. In der Studie wird die cfDNA-Methylierung bei HNSCC mit der neuen Technik reduced representation bisulfite sequencing untersucht.

Translated text

求助PDF

上传PDF

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Upload PDF to Generate Summary

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

【要点】：本论文报道了新的研究结果，发现了含磺胺药物-吡咯共轭物作为碳酸酐酶和乙酰胆碱酯酶的抑制剂，具有很高的抑制能力。

【方法】：采用设计新的吡咯-3-酮衍生物含磺胺药物，并测试其对碳酸酐酶和乙酰胆碱酯酶的抑制效果。

【实验】：通过实验测试，发现化合物5a-i对乙酰胆碱酯酶和碳酸酐酶I、碳酸酐酶II的抑制能力较强，其中化合物5f对碳酸酐酶I最有效，化合物5e对碳酸酐酶II最有效，而化合物5c对乙酰胆碱酯酶最有效。