[HTML][HTML] Multiomics and machine learning in lung cancer prognosis
Y Gao, R Zhou, Q Lyu - Journal of thoracic disease, 2020 - ncbi.nlm.nih.gov
Wang et al.(13) presented a method to construct a prediction model of EGFR mutation-
induced drug resistance in lung cancer by combining pathological and demographic data …
induced drug resistance in lung cancer by combining pathological and demographic data …
[HTML][HTML] Transforming lung cancer care: Synergizing artificial intelligence and clinical expertise for precision diagnosis and treatment
M Sun, C Cui - AIMS Bioengineering, 2023 - aimspress.com
Lung cancer is a predominant cause of global cancer-related mortality, highlighting the
urgent need for enhanced diagnostic and therapeutic modalities. With the integration of …
urgent need for enhanced diagnostic and therapeutic modalities. With the integration of …
Új tüdőrák glikobiomarkerek átfogó megközelítésű kutatása
B Bakos-Mészáros - 2023 - search.proquest.com
A PhD munkám fő célkitűzése az volt, hogy elősegítse a vérszérumban lévő N-glikán
szerkezetek kutatását és a diagnosztikai fejlesztésekben való alkalmazhatóságukat. Már …
szerkezetek kutatását és a diagnosztikai fejlesztésekben való alkalmazhatóságukat. Már …
A Deep Feature Selection Algorithm for Thyroid Cancer Multi-Omics Data
L Zhao, J Liu, C Si, H Guan, X Dong - Available at SSRN 4482062 - papers.ssrn.com
Among endocrine cancers, thyroid data is common cancer. Thyroid cancer has a mortality
rate of 3.1$\% $ and its incidence has tripled in the last 30 years. However, most patients …
rate of 3.1$\% $ and its incidence has tripled in the last 30 years. However, most patients …