Add to ORKGKnowledge representation and reasoning (KR&R) has been successfully implemented in many fields to enable computers to solve complex problems with AI methods. However, its application to biomedicine has been lagging in part due to the daunting complexity of molecular and cellular pathways that govern human physiology and pathology. In this article, we describe concrete uses of Scalable PrecisiOn Medicine Knowledge Engine (SPOKE), an open knowledge network that connects curated information from thirty-seven specialized and human-curated databases into a single property graph, with 3 million nodes and 15 million edges to date. Applications discussed in this article include drug discovery, COVID-19 research and chronic disease diagnosis, an...
Data-driven science and its corollaries in machine learning and the wider field of artificial intell...
The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge ...
Big data are a major driver in the development of precision medicine. Efficient analysis methods are...
Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to en...
MOTIVATION: Knowledge graphs (KGs) are being adopted in industry, commerce and academia. Biomedical ...
MotivationKnowledge graphs (KGs) are being adopted in industry, commerce and academia. Biomedical KG...
In order to advance precision medicine, detailed clinical features ought to be described in a way th...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
Akin to the exponential growth of genomic sequencing data, high-throughput techniques in proteomics ...
If you put your clinical information into an algorithm and it told you exactly when you will get sic...
Keeping track of scientific challenges, advances and emerging directions is a fundamental part of re...
Life on earth is regulated by a complex system of interactions. Network Medicine models biological o...
Knowledge graphs (KGs) are used to integrate disparate data, decipher complex processes, and have fr...
The practice of medicine is ever evolving. Diagnosing disease, which is often the first step in a cu...
Natural Language Processing (NLP) has helped human beings to uncover knowledge once obscured and use...
Data-driven science and its corollaries in machine learning and the wider field of artificial intell...
The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge ...
Big data are a major driver in the development of precision medicine. Efficient analysis methods are...
Knowledge representation and reasoning (KR&R) has been successfully implemented in many fields to en...
MOTIVATION: Knowledge graphs (KGs) are being adopted in industry, commerce and academia. Biomedical ...
MotivationKnowledge graphs (KGs) are being adopted in industry, commerce and academia. Biomedical KG...
In order to advance precision medicine, detailed clinical features ought to be described in a way th...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
Akin to the exponential growth of genomic sequencing data, high-throughput techniques in proteomics ...
If you put your clinical information into an algorithm and it told you exactly when you will get sic...
Keeping track of scientific challenges, advances and emerging directions is a fundamental part of re...
Life on earth is regulated by a complex system of interactions. Network Medicine models biological o...
Knowledge graphs (KGs) are used to integrate disparate data, decipher complex processes, and have fr...
The practice of medicine is ever evolving. Diagnosing disease, which is often the first step in a cu...
Natural Language Processing (NLP) has helped human beings to uncover knowledge once obscured and use...
Data-driven science and its corollaries in machine learning and the wider field of artificial intell...
The biomedical data landscape is fragmented with several isolated, heterogeneous data and knowledge ...
Big data are a major driver in the development of precision medicine. Efficient analysis methods are...