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Causaly vs PubMed®: 2x as many relevant articles identified by Causaly using the same data

Causaly AI finds more relevant articles than PubMed alone, using its advanced machine-reading technology.
The Causaly Machine-Reading Platform: From finding documents to finding evidence - ODSC

The Causaly Machine-Reading Platform: From finding documents to finding evidence - ODSC

Causaly ODSC Seminar Causaly's CTO, Artur Saudabayev, hosted an ODSC seminar on the 30th of March addressing the problem of the rapidly...

Target identification and validation using AI for literature-based insights: Causaly & Pierre Fabre Joint Webinar

Target identification and validation using AI for literature-based insights: Causaly & Pierre Fabre Joint Webinar

Causaly and Pierre Fabre joint webinar Causaly and Pierre Fabre co-hosted a joint webinar on the 28th of October, addressing how...

Full-text vs Abstract advantage: Causaly identifies 3x as many relevant articles by machine-reading the full-text
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Full-text vs Abstract advantage: Causaly identifies 3x as many relevant articles by machine-reading the full-text

Causaly enables regulatory experts to reduce time spent scanning research literature, while at the same time increase the yield from full-text articles which typically are not selected due to unsuspecting abstracts.

Preclinical safety analysis using Artificial Intelligence on the example of Alzheimer’s Disease.
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Preclinical safety analysis using Artificial Intelligence on the example of Alzheimer’s Disease.

Causaly AI enables researchers to identify safety-relevant information in medical literature regarding a drug candidate. Preclinical experts can include this data in the preclinical study design to minimize the risks of unforeseen toxicities and increase chances of approval.

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