Domain experts validate and educate the model, which in turn improves rankings of more relevant search outputs to accelerate the user's body of knowledge on the topic. This process continuously improves as more users validate knowledge outputs, which are in turn used to generate and rank novel hypotheses on biomedical topics.


Technology
The platform generates systematic knowledge on a domain of interest, via a knowledge graph. This, in turn, is applied to an indication-specific dataset to improve interpretation using statistical and machine/deep learning techniques.

Scientific Literature
The platform generates systematic knowledge on a domain of interest, via a knowledge graph. This, in turn, is applied to an indication-specific dataset to improve interpretation using statistical and machine/deep learning techniques.

Technology
Domain experts validate and educate the model, which in turn improves rankings of more relevant search outputs to accelerate the user's body of knowledge on the topic. This process continuously improves as more users validate knowledge outputs, which are in turn used to generate and rank novel hypotheses on biomedical topics.


The platform generates systematic knowledge on a domain of interest, via a knowledge graph. This, in turn, is applied to an indication-specific dataset to improve interpretation using statistical and machine/deep learning techniques.

Scientific Literature
The platform generates systematic knowledge on a domain of interest, via a knowledge graph. This, in turn, is applied to an indication-specific dataset to improve interpretation using statistical and machine/deep learning techniques.

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Technology
The platform generates systematic knowledge on a domain of interest, via a knowledge graph. This, in turn, is applied to an indication-specific dataset to improve interpretation using statistical and machine/deep learning techniques.

The knowledge discovery platform is built on the intersection of natural language processing and machine learning. It works by accelerating scientific & clinical interpretation and decision making from big diverse biomedical datasets.


Scientific Literature
In-house, external and client domain experts validate and educate the models, which in turn improve rankings of more relevant search outputs. This process continuously improves as more users validate knowledge outputs, which are in turn used to generate and rank novel hypotheses on biomedical topics.