Web-Scale Data Integration in Life Sciences and Healthcare through KGs
May 10 | KGC 2023
•
26m
Biomedical data and knowledge are expanding exponentially in the 21st century. In this talk, I will present how Knowledge Graph technologies are increasingly being developed and leveraged in academia and industry to tackle complex data integration challenges in life sciences and healthcare. I will showcase how these technologies are currently being used in several different areas, such as drug discovery and safety, clinical search and decision support, biomedical research, and disease monitoring. These technologies, in conjunction with machine learning methods, enable the capture, representation, and provision of ever evolving and expanding biological and medical data and knowledge. I will end the talk with my perspective on some of the major bottlenecks that currently hinder the wide-spread adoption of knowledge graphs and discuss some of the next directions and technical solutions to mitigate these bottlenecks. Eventually, these technologies will enable the development of scalable platforms that can support artificial intelligence methods for augmenting human intelligence to achieve better clinical outcomes for patients, to enhance the quality of biomedical research, and to improve our understanding of living systems.
Up Next in May 10 | KGC 2023
-
Decentralized Knowledge for the Globa...
While 2.5 quintillion bytes of data were produced every day in 2021, this number is expected to grow exponentially in the coming years. With the constantly increasing flow of data, organisations, particularly those in the Global South, are struggling to process, structure, use, and share the data...
-
Spotting Signals in Text via Natural ...
Signals are emerging pieces of information relevant to a given context and offer potential for strategic advantage in a multitude of domains. However, sorting the signal from noise on large textual data is a very tedious process for humans. We introduce a scalable approach that extracts signals f...
-
Fraud Networks: Our Answer to Detecti...
This talk will be about understanding graph technology as a solution to detect transitive relationships between indicators of fraud, and help uncover new networks of fraudsters before they scale. We will talk about building an in house ecosystem that stores fraud events as graph data and emits gr...