A powerfull
AI-based technology
Niel’s algorithm is a Natural Language Processing technology (NLP) using deep learning/machine learning (ML), to scan automatically textual data sources, detects a list of notions (given by end-users), extracts the list of pertinent documents mentioning these notions. Our technology identifies semantic patterns in relation with searched notions and computes eligibility of the current document as « interesting for user objectives » among a corpus of documents.
Deep learning & AI
Support and accelerate scientific information extraction
>1
second
Search and scan over millions of articles within main validated
sources in less than one second
>100
articles
Analyse and select only pertinent semantic information about specific topics in medical device projects
1 to 10
sentences per article
fully indexed
Extract and highlight relevant sentences to initiate operational medical writing activities
Save 50%
of your allocated resources time in medical writing
A powerfull technology
Foster scientific review in medical device
![Schéma-performance-V5-desktop-950x778 Schéma-performance-V5-desktop-950x778](https://www.niels-q-analytics.com/hs-fs/hubfs/Sch%C3%A9ma-performance-V5-desktop-950x778.png?width=950&height=778&name=Sch%C3%A9ma-performance-V5-desktop-950x778.png)
Articles scanned and reviewed by Niel’s Medical Device
~ 30 millions of articles
Articles reviewed by
a Medical Writer
~ 150-200 articles
![Schéma-performance-V5--responsive-1350x778 Schéma-performance-V5--responsive-1350x778](https://www.niels-q-analytics.com/hubfs/Sch%C3%A9ma-performance-V5--responsive-1350x778.png)
Articles scanned and reviewed by
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Articles reviewed by
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Illustration based on a single Database, possible connection to other sources
100%
of articles related to
search criteria are
scanned in a database
90%
of selected articles by IA
are pertinent and usable
for CER writing
30-50%
of selected articles are
unkown to experts
A proven technology
Already approved for several applications
Medical devices
|
5 CER approved by notified bodies |
|
12 devices have obtained the CE mark |
Technology initially developed and used in pharmaceutical field
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200 projects in oncology |
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including 20 R&D programs, 10 molecules, 12 clients |