[HTML][HTML] Informing immunotherapy with multi-omics driven machine learning
Progress in sequencing technologies and clinical experiments has revolutionized
immunotherapy on solid and hematologic malignancies. However, the benefits of …
immunotherapy on solid and hematologic malignancies. However, the benefits of …
[HTML][HTML] A study of the recent trends of immunology: Key challenges, domains, applications, datasets, and future directions
The human immune system is very complex. Understanding it traditionally required
specialized knowledge and expertise along with years of study. However, in recent times …
specialized knowledge and expertise along with years of study. However, in recent times …
[HTML][HTML] A nomogram model for predicting 5-year risk of prediabetes in Chinese adults
Y Hu, Y Han, Y Liu, Y Cui, Z Ni, L Wei, C Cao, H Hu… - Scientific Reports, 2023 - nature.com
Early identification is crucial to effectively intervene in individuals at high risk of developing
pre-diabetes. This study aimed to create a personalized nomogram to determine the 5-year …
pre-diabetes. This study aimed to create a personalized nomogram to determine the 5-year …
[HTML][HTML] A pan-cancer analysis of predictive methylation signatures of response to cancer immunotherapy
B Xu, M Lu, L Yan, M Ge, Y Ren, R Wang… - Frontiers in …, 2021 - frontiersin.org
Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been
introduced and widely adopted for various tumor types. Nevertheless, tumor immunotherapy …
introduced and widely adopted for various tumor types. Nevertheless, tumor immunotherapy …
[HTML][HTML] Machine learning for predicting the 3-year risk of incident diabetes in Chinese adults
Y Wu, H Hu, J Cai, R Chen, X Zuo, H Cheng… - Frontiers in Public …, 2021 - frontiersin.org
Purpose: We aimed to establish and validate a risk assessment system that combines
demographic and clinical variables to predict the 3-year risk of incident diabetes in Chinese …
demographic and clinical variables to predict the 3-year risk of incident diabetes in Chinese …
[HTML][HTML] Predicting cancer drug response in vivo by learning an optimal feature selection of tumour molecular profiles
(1) Background: Inter-tumour heterogeneity is one of cancer's most fundamental features.
Patient stratification based on drug response prediction is hence needed for effective anti …
Patient stratification based on drug response prediction is hence needed for effective anti …
[HTML][HTML] Predicting cancer drug TARGETS-treatment response generalized elastic-neT signatures
We are now in an era of molecular medicine, where specific DNA alterations can be used to
identify patients who will respond to specific drugs. However, there are only a handful of …
identify patients who will respond to specific drugs. However, there are only a handful of …
[HTML][HTML] Multi-approach bioinformatics analysis of curated omics data provides a gene expression panorama for multiple cancer types
Studies describing the expression patterns and biomarkers for the tumoral process increase
in number every year. The availability of new datasets, although essential, also creates a …
in number every year. The availability of new datasets, although essential, also creates a …
An artificial intelligence model to predict survival and chemotherapy benefits for gastric cancer patients after gastrectomy development and validation in international …
X Li, Z Zhai, W Ding, L Chen, Y Zhao, W Xiong… - International journal of …, 2022 - Elsevier
Background Gastric cancer (GC) is a major health problem worldwide, with high prevalence
and mortality. The present GC staging system provides inadequate prognostic information …
and mortality. The present GC staging system provides inadequate prognostic information …
[HTML][HTML] Collaborative study from the Bladder Cancer Advocacy Network for the genomic analysis of metastatic urothelial cancer
Abstract Urothelial Cancer-Genomic Analysis to Improve Patient Outcomes and Research
(NCT02643043), UC-GENOME, is a genomic analysis and biospecimen repository study in …
(NCT02643043), UC-GENOME, is a genomic analysis and biospecimen repository study in …