A Landscape of Artificial Intelligence (AI) In Pharmaceutical R&D

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Thomas Luechtefeld

Contributor New Tools, Products and Technologies

Tom Luechtefeld is the CEO of sysrev.com and a recent Ph.D. graduate from Johns Hopkins School of Public Health. His main focus is on algorithm development at Sysrev. He helps medical researchers organize biomedical knowledge on genes, methods, chemicals and more. The majority of scientific knowledge is currently locked away in large text documents, it is our hope that sysrev.com will provide a key to leveraging this resource.


Big Data Database Machine Learning

Disclaimer: All opinions, ideas, and thoughts expressed and posted by Contributors at BiopharmaTrend.com platform are their own personal points of view, and do not represent neither Contributor's employers, nor BiopharmaTrend.com.

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Introducing Sysrev: The Intelligent Platform For Document Review And Automated Data Extraction

Introducing Sysrev: The Intelligent Platform For Document Review And Automated Data Extraction

In today’s technological world, data is perhaps the single most important driver of a business’ success. Access to relevant data allows businesses to make a variety of informed decisions. Unfortunately, acquiring this data can be quite cumbersome as employees spend countless hours manually reviewing documents. This is especially true for more complex reviews such as journal publications, patient records, or technical specifications. Sysrev offers enterprise a platform for managing collaborative document reviews, injecting machine learning into the review process to increase accuracy and efficiency. Depending on the data source and task, Sysrev can even automate data extraction.

Sysrev, launched in June 2019, is an intelligent platform for document reviews and automated data extraction. Sysrev optimizes the review process with machine learning and adds efficiency through its intuitive, and collaborative, interface.