The slides and code in this repository were developed for Dr. Marco Mesiti's, University of Milan, course titled "Constructing Knowledge Graphs for Advanced Biomedical Applications" (https://homes.di.unimi.it/mesiti/phdcourse2023/ ). Taken from the course website, the course description reads: Knowledge graphs (KGs) can be used as an integration means of heterogenous biomedical concepts and relationships existing in different biological data sources. The presence of various information related to the same topic (e.g. patients, therapies, diseases) can be exploited for tackling many biomedical problems, such as finding new treatments for existing drugs, aiding efforts to diagnose patients, and identifying associations between diseases and ...
The term life sciences refers to the disciplines that study living organisms and life processes, and...
We have developed the Clinical Knowledge Graph (CKG), an open source platform currently comprised of...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
The slides in this repository were developed for Dr. Marco Mesiti's, University of Milan, course tit...
Biomedical knowledge graphs, which can help with the understanding of complex biological systems and...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...
Knowledge graphs (KGs) are used to integrate disparate data, decipher complex processes, and have fr...
Complex biological systems are traditionally modelled as graphs of interconnected biological entitie...
Within clinical, biomedical, and translational science, an increasing number of projects are adoptin...
Within clinical, biomedical, and translational science, an increasing number of projects are adoptin...
Molecular biology-focused knowledge graphs (KGs) are directed graphs that integrate information from...
Knowledge graphs are powerful tools for representing and organising complex biomedical data. Several...
Although knowledge graphs (KGs) are used extensively in biomedical research to model complex phenome...
Although knowledge graphs (KGs) are used extensively in the biomedical domain to model complex pheno...
Today the biomedical field mostly relies on systems biologyapproaches such as integrative knowledge...
The term life sciences refers to the disciplines that study living organisms and life processes, and...
We have developed the Clinical Knowledge Graph (CKG), an open source platform currently comprised of...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...
The slides in this repository were developed for Dr. Marco Mesiti's, University of Milan, course tit...
Biomedical knowledge graphs, which can help with the understanding of complex biological systems and...
Background Knowledge is often produced from data generated in scientific investigations. An ever-gro...
Knowledge graphs (KGs) are used to integrate disparate data, decipher complex processes, and have fr...
Complex biological systems are traditionally modelled as graphs of interconnected biological entitie...
Within clinical, biomedical, and translational science, an increasing number of projects are adoptin...
Within clinical, biomedical, and translational science, an increasing number of projects are adoptin...
Molecular biology-focused knowledge graphs (KGs) are directed graphs that integrate information from...
Knowledge graphs are powerful tools for representing and organising complex biomedical data. Several...
Although knowledge graphs (KGs) are used extensively in biomedical research to model complex phenome...
Although knowledge graphs (KGs) are used extensively in the biomedical domain to model complex pheno...
Today the biomedical field mostly relies on systems biologyapproaches such as integrative knowledge...
The term life sciences refers to the disciplines that study living organisms and life processes, and...
We have developed the Clinical Knowledge Graph (CKG), an open source platform currently comprised of...
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will ...