Pharma R&D Today

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4 Notable Life Sciences Trends from the Tech Trends Report

Posted on June 4th, 2021 by

AI & Data

The Future Today Institute has released its 2021 Tech Trends Report (14th Annual Edition), a comprehensive report on strategic trends that it anticipates will affect business, government, education, media and society in the coming year. We noted four trends discussed in the report’s Health, Medicine & Science section that will be of particular interest to those in the pharmaceutical and life sciences sectors.

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AI Disease Modeling Supports Precision Medicine for Cancer

Posted on June 1st, 2021 by

Pharma R&D

Precision medicine has offered a lot of hope for the treatment of cancer, as it makes it possible to tackle the multi-faceted disease with a more personalized, patient-specific approach. Meanwhile, researchers are also becoming increasingly interested in applications for artificial intelligence in the development of drugs and therapies. Could AI and precision medicine work together in the fight against cancer?

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phactMI: Delivering accurate drug information to point of care, part IV

Posted on May 26th, 2021 by

Medical Information

Part 4: How phactMI and Elsevier collaborated to deliver information to healthcare professionals

The Pharma Collaboration for Transparent Medical Information™ (phactMI) is a non-profit organization that seeks to improve the lives of patients by supporting the safe and effective use of medicines. One of their major goals is to make it easier for healthcare professionals to access unbiased, evidence-based medical information about medicinal products, allowing the HCPs to quickly and efficiently find answers to their questions so that they can make informed decisions for their patients. To achieve this goal, they partnered with Elsevier.

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Expert Forum Examines the Patent Content Expansion Plan for Reaxys

Posted on May 21st, 2021 by

Chemistry

User feedback is instrumental to the evolution of Reaxys. Not only in articulating what works and what is missing, but also in guiding the direction of newly developed capabilities to meet user information needs.

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HIV Vaccine Awareness Day

Posted on May 18th, 2021 by

Pharma R&D

The global focus on the development and distribution of COVID-19 vaccines over the past year has been a reminder that there are still many other diseases for which the world has long sought a vaccine. Since 1998, May 18 has been observed as HIV Vaccine Awareness Day (also known as World AIDS Vaccine Day) by advocates, healthcare professionals, and communities dedicated to HIV prevention and vaccine research, with the National Institute of Allergy and Infectious Diseases (NIAID) often taking the lead in its observance. HIV Vaccine Awareness Day provides a good opportunity for vaccine developers to provide updates on research efforts with articles, webinars, and special events.

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

Posted on May 7th, 2021 by

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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About this Blog

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The Elsevier Pharma R&D blog provides insight and opinion on topics related to pharmaceutical research and development, namely: big data, target identification, new drug discovery, drug safety monitoring, risk mitigation and regulatory compliance. We serve the community of chemists, scientists, drug safety specialists, educators and students interested in pharmaceutical R&D.

Editor’s note: The views and opinions expressed are those of the author and do not necessarily reflect the views of Elsevier,  its affiliates and sponsors or its parent company, Reed Elsevier.