Deep learning methods for biomedical named entity recognition: a survey and qualitative comparison
The biomedical literature is growing rapidly, and the extraction of meaningful information
from the large amount of literature is increasingly important. Biomedical named entity …
from the large amount of literature is increasingly important. Biomedical named entity …
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 …
An extensive review of tools for manual annotation of documents
Motivation Annotation tools are applied to build training and test corpora, which are
essential for the development and evaluation of new natural language processing …
essential for the development and evaluation of new natural language processing …
Data science, artificial intelligence, and machine learning: opportunities for laboratory medicine and the value of positive regulation
D Gruson, T Helleputte, P Rousseau, D Gruson - Clinical biochemistry, 2019 - Elsevier
Artificial intelligence (AI) and data science are rapidly developing in healthcare, as is their
translation into laboratory medicine. Our review article presents an overview of the data …
translation into laboratory medicine. Our review article presents an overview of the data …
[HTML][HTML] Deep learning of histopathology images at the single cell level
The tumor-immune microenvironment (TIME) encompasses many heterogeneous cell types
that engage in extensive crosstalk among the cancer, immune, and stromal components …
that engage in extensive crosstalk among the cancer, immune, and stromal components …
[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 …
Computational approaches in cancer multidrug resistance research: Identification of potential biomarkers, drug targets and drug-target interactions
Like physics in the 19th century, biology and molecular biology in particular, has been
fertilized and enhanced like few other scientific fields, by the incorporation of mathematical …
fertilized and enhanced like few other scientific fields, by the incorporation of mathematical …
Scaling up data curation using deep learning: an application to literature triage in genomic variation resources
Manually curating biomedical knowledge from publications is necessary to build a
knowledge based service that provides highly precise and organized information to users …
knowledge based service that provides highly precise and organized information to users …
ARPNet: antidepressant response prediction network for major depressive disorder
Treating patients with major depressive disorder is challenging because it takes several
months for antidepressants prescribed for the patients to take effect. This limitation may …
months for antidepressants prescribed for the patients to take effect. This limitation may …
[HTML][HTML] A primer on machine learning techniques for genomic applications
High throughput sequencing technologies have enabled the study of complex biological
aspects at single nucleotide resolution, opening the big data era. The analysis of large …
aspects at single nucleotide resolution, opening the big data era. The analysis of large …