Pharma R&D Today

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Mutually empowering – semantic-based machine learning and subject matter expertise

Posted on May 7th, 2021 by in AI & Data

In a day dedicated to emerging science and technologies at the Pistoia Alliance virtual conference Collaborative R&D in Action, SciBite CTO James Malone opened the program with a compelling exploration of use cases for semantic-based machine learning (ML). A simple but elegant ML strategy based on “seeding” named entity recognition (NER) can facilitate ontology creation, drive language translation, take a crack at gaining insights from social media platforms, and generate answers to questions faster. His most important take-away: semantic-based ML and subject matter expertise (SME) are mutually empowering.

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SciBite’s James Malone Talks Future of Biocuration on Conference Panel

Posted on April 15th, 2021 by in AI & Data

Biocurators are among the unsung heroes of the life sciences world, performing the essential task of translating and integrating biomedical information into interoperable databases. Of course, there is a lot more to it than that, as attendees of the International Society for Biocuration’s 14th Annual Biocuration Conference already know.

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Bringing Scalability Into Chemistry Modeling

Posted on November 18th, 2020 by in Chemistry

Synthetic chemistry has been with us for centuries, but it is now entering a new frontier. Big data, AI and machine learning are unlocking a predictive power that is transforming the conceptualization and optimization of synthetic routes.

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Extracting Relevant Chemical Information from Patents with Machine Learning

Posted on October 5th, 2020 by in Chemistry

New chemical compounds and reactions are often introduced to the world – and with little fanfare – through patents. It may be years after the patent has been filed before these compounds are published in scholarly journals, and even then it is only a small share of them that are published at all. As a result, it can be easy for these compounds to remain unknown to researchers who may be very interested in them.

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