[Webinar] DISQOVER for Chemistry Search - Join our live session where we will show you how #DISQOVER integrates and links different public #data sources to internal and third-party sources, to explore semantic links between #chemicals and #substructures.
https://t.co/n4yGqbwObT
Today, our founder @hconstandt explains the use of semantic knowledge graphs and #FAIR data at the PharmaTec Series Virtual Conference. Managing the data flow is a challenge in life sciences. What about making virtual conference data more #FAIR? ;)
@PharmaTecSeries@ontoforce
Harmonize and link clinical and research data to generate a #FAIRdata#knowledgegraph. Make data available for retrieval and visualization for all stakeholders (including the patient) with #DISQOVER from @ONTOFORCE. Thanks to Flemish support from @VLAIO_be
“Fighting Dementia with Data” - Published article in De Tijd (article in Dutch) about the PRISMA project
@ONTOFORCE and @fpattyn are participating in to fight dementia with data. #worldalzheimersday. VIB, Hict, reMYND @imecVlaanderen, @VLAIO_be
https://t.co/m37ZSJ1qSO
Get started with the new #DISQOVER 6.00 today and reap the benefits of a powerful and intuitive knowledge discovery platform. https://t.co/ayeMA90PEf #lifesciences#data#analytics
#EITinAction for data-driven healthcare!🧬💊
Disqover by @ONTOFORCE is a unique data aggregator 💻☁ that helps decision-making in #healthcare and works for citizens, hospitals and businesses. The 🇧🇪 company is supported by @EITHealth.
See more 👀👉 https://t.co/PV4Q1QRCDB
The impact of data in preclinical drug discovery at work at the @TriConference/@bioitworld West #hackathon. Different stakeholders from across pharma R&D are tackling datasets and project with maximum impact potential, to solve real-world #data challenges! https://t.co/Bu0pRIIetQ
Why is #AI back in biomedicine? Better hardware to optimize #machinelearning methods, great software libraries, and bigger and better data sets: genomics and EHR data! #TRICON
‘Data driven guidelines proven by the data of 100 000’s of patient records instead of expert guidelines’: @atulbutte coins this as ‘the deep learning healthcare system’ #TRICON
'EMRs are created for billing not for diagnosis': Tom Defay @Alexion. Before #AI applications will fly we need to do our ground work on the data. Definitely for #RareDiseases#TRICON
‘We need more well-labelled large datasets’ and ‘singularity is absolutely not near’. In reality, data is still much of a mess. First, let’s do our best to make data more meaningful. Then #AI will benefit from it. @EricTopol at #TRICON