Searching through the mountains of published cancer research could be made easier for scientists, thanks to a new AI system.
As a cancer researcher, even if you knew what you were looking for, there are literally thousands of papers appearing every day
The system, called LION LBD and developed by computer scientists and cancer researchers at the University of Cambridge, has been designed to assist scientists in the search for cancer-related discoveries. It is the first literature-based discovery system aimed at supporting cancer research. The results are reported in the journal Bioinformatics.
Global cancer research attracts massive amounts of funding worldwide, and the scientific literature is now so huge that researchers are struggling to keep up with it: critical hypothesis-generating evidence is now often discovered long after it was published.
Cancer is a complex class of diseases that are not completely understood and are the second-leading cause of death worldwide. Cancer development involves changes in numerous chemical and biochemical molecules, reactions and pathways, and cancer research is being conducted across a wide variety of scientific fields, which have variability in the way that they describe similar concepts.
“As a cancer researcher, even if you knew what you were looking for, there are literally thousands of papers appearing every day,” said Professor Anna Korhonen, Co-Director of Cambridge’s Language Technology Lab who led the development of LION LBD in collaboration with Dr Masashi Narita at Cancer Research UK Cambridge Institute and Professor Ulla Stenius at Karolinska Institutet in Sweden. “LION LBD uses AI to help scientists keep up-to-date with published discoveries in their field, but could also help them make new discoveries by combining what is already known in the literature by making connections between sources that may appear to be unrelated.”
The ‘LBD’ in LION LBD stands for Literature-Based Discovery, a concept developed in the 1980s which seeks to make new discoveries by combing pieces of information from disconnected sources. The key idea behind the original version of LBD is that concepts that are never explicitly linked in the literature may be indirectly linked through intermediate concepts.
The design of the LION LBD system allows real-time search to discover indirect associations between entities in a database of tens of millions of publications while preserving the ability of users to explore each mention in its original context.
“For example, you may know that a cancer drug affects the behaviour of a certain pathway, but with LION LBD, you may find that a drug developed for a totally different disease affects the same pathway,” said Korhonen.
LION LBD is the first system developed specifically for the needs of cancer research. It has a particular focus on the molecular biology of cancer and uses state-of-the-art machine learning and natural language processing techniques, in order to detect references to the hallmarks of cancer in the text. Evaluations of the system have demonstrated its ability to identify undiscovered links and to rank relevant concepts highly among potential connections.
The system is built using open data, open source and open standards, and is available as an interactive web-based interface or a programmable API.
The researchers are currently working on extending the scope of LION-LBD to include further concepts and relations. They are also working closely with cancer researchers to help and improve the technology for end users.
The Latest on: Artificial intelligence system
via Google News
The Latest on: Artificial intelligence system
- Artificial intelligence to boost Earth system science on February 18, 2019 at 8:15 pm
A new study shows that artificial intelligence can substantially improve our understanding of the climate and the Earth system. A study by German scientists from Jena and Hamburg, published today in t... […]
- Artificial intelligence — and a few jokes — will help keep future Mars crews sane on February 18, 2019 at 11:18 am
NASA and outside researchers are already working on artificial intelligence agents to monitor how future ... The aim is to develop an autonomous system that could assist the crew if it noticed that th... […]
- Getting answers from a chatbot: Empowering patients through artificial intelligence on February 18, 2019 at 10:42 am
It also has a built-in escalation system, where if a patient needs more information, or if they can’t get the answer they need, the AI will pass them on to a person who can answer their questions with ... […]
- 3 things we learned from Facebook's AI chief about the future of artificial intelligence on February 18, 2019 at 9:40 am
Systems powered by artificial intelligence, whether you're referring to the algorithms Facebook uses to detect inappropriate content or the virtual assistants made by Google or Amazon that power the s... […]
- Siemens updates NX Software with Artificial Intelligence and Machine Learning to increase productivity on February 18, 2019 at 3:47 am
system and the creation of a more robust digital twin. "NX continues to innovate. NX is the first CAD product to deliver capabilities based on artificial intelligence and machine learning. I see value ... […]
- Artificial Intelligence-based Security market hit at 30.3% CAGR to 2023 scrutinized in new research on February 18, 2019 at 3:03 am
Artificial intelligence techniques can be used for security management purposes to protect any system from security attacks or threats by warning the user in real-time. This report studies the Artific... […]
- How Artificial Intelligence is Reinventing Consumer Electronics Segment on February 18, 2019 at 2:04 am
After taking healthcare, education, and telecommunication sectors by storm, artificial intelligence (AI ... Netflix has integrated AI-powered dynamic optimizer into its system, which compresses the on... […]
- Artificial Intelligence As A Service Market Trends, Analysis Research and Projections For 2019-2028 on February 18, 2019 at 12:54 am
Major Artificial Intelligence as a Service market players covers by this research report are: SAS Institute, com Inc, Intel Corporation, IBM Corporation, BAE Systems Inc, Capgemini SE, HCL Technologie... […]
- Artificial Intelligence-Based Security Market Competitive Scenario, Drivers And Challenges Analysis Forecast 2028 on February 17, 2019 at 10:53 pm
Feb 18, 2019 (WiredRelease via COMTEX) -- Artificial Intelligence is the development of computer systems that are able to perform tasks that would require human intelligence such as visual perception, ... […]
via Bing News