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Translating cancer genomics into precision medicine with artificial intelligence: applications, challenges and future perspectives
J Xu, P Yang, S Xue, B Sharma, M Sanchez-Martin… - Human genetics, 2019 - Springer
In the field of cancer genomics, the broad availability of genetic information offered by next-
generation sequencing technologies and rapid growth in biomedical publication has led to …
generation sequencing technologies and rapid growth in biomedical publication has led to …
[HTML][HTML] Causal relationship extraction from biomedical text using deep neural models: A comprehensive survey
A Akkasi, MF Moens - Journal of biomedical informatics, 2021 - Elsevier
The identification of causal relationships between events or entities within biomedical texts
is of great importance for creating scientific knowledge bases and is also a fundamental …
is of great importance for creating scientific knowledge bases and is also a fundamental …
Comparison of biomedical relationship extraction methods and models for knowledge graph creation
N Milošević, W Thielemann - Journal of Web Semantics, 2023 - Elsevier
Biomedical research is growing at such an exponential pace that scientists, researchers,
and practitioners are no more able to cope with the amount of published literature in the …
and practitioners are no more able to cope with the amount of published literature in the …
[HTML][HTML] AI and precision oncology in clinical cancer genomics: From prevention to targeted cancer therapies-an outcomes based patient care
Precision medicine is the personalization of medicine to suit a specific group of people or
even an individual patient, based on genetic or molecular profiling. This can be done using …
even an individual patient, based on genetic or molecular profiling. This can be done using …
A shortest dependency path based convolutional neural network for protein‐protein relation extraction
L Hua, C Quan - BioMed research international, 2016 - Wiley Online Library
The state‐of‐the‐art methods for protein‐protein interaction (PPI) extraction are primarily
based on kernel methods, and their performances strongly depend on the handcraft …
based on kernel methods, and their performances strongly depend on the handcraft …
Learning for biomedical information extraction: Methodological review of recent advances
F Liu, J Chen, A Jagannatha, H Yu - ar** framework for biomedical relation extraction
SS Deepika, TV Geetha - Engineering Applications of Artificial Intelligence, 2021 - Elsevier
The progress made in the realm of '-omics' technologies has led to a tremendous increase in
the quantum of biomedical research published. Information extraction from this huge …
the quantum of biomedical research published. Information extraction from this huge …