Laser AI - the secrets of automation of data extraction

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A new webinar hosted by Evidence Prime took place on the 30th of June at 11:00 - 12:00 EDT (08:00 - 09:00 PDT, 17:00 - 18:00 CEST)!

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Another webinar from the Laser AI series. Laser AI* is a new generation tool for continuously synthesizing available knowledge about a given health problem with minimal human involvement, accelerating the research and improving its quality.  

During the presentation, we update you about the security of Laser AI and explain what FedRAMP authorization is and how we got it. Next, we reveal some of the secrets of automation of data extraction during the DEMO of the Laser AI-based Dextr** tool.

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Speakers:

Paweł Kunstman is a co-founder and the president of Evidence Prime. He focuses on enterprise, security and AI features of Evidence Prime software and manages the company operations.

Iga Czyż is a Product Designer on the Laser AI team, where she strives to make the world of systematic reviews a little more user-friendly. Iga has a background in pharmacy and design.

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‍Ewelina Sadowska is a pharmacist and an Evidence Synthesis Specialist at Evidence Prime. She is responsible for testing new solutions in Laser AI and conducting evidence synthesis research.

Ewa Borowiack is an Evidence Synthesis Specialist with 15 years of experience in conducting HTA reports, systematic reviews, and targeted literature reviews. At Evidence Prime, she provides methodological knowledge to the designers and the software development team.

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What will you learn:

• Security update: FedRAMP - what it is and how we got it.
• Laser AI - the secrets of data extraction mechanism, based on the example of Dextr - DEMO

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Video-recording

In case you would like to receive the video-recording - contact us at webinars@evidenceprime.com.

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*Laser AI: This work is supported by the European Union under the European Regional Development Fund via the "LaSeR" project (a “Fast Track to Innovation” program by the Polish National Centre for Research and Development).

**Dextr: This work was supported by the Intramural Research Program (Contract GS00Q14OADU417, Task Order HHSN273201600015U) at NIEHS, NIH. DNTP initiated and directed the project providing guidance on tool requirements to support data extraction for literature-analysis as well as the evaluation plan.

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