Pharma R&D Today

Ideas and Insight supporting all stages of Drug Discovery & Development

Select category
Search this blog

Webinar: Accelerating drug discovery by building and turning high-quality data into actionable insights

Posted on April 6th, 2020 by in Chemistry

Drug discovery is a time-consuming and costly process (and all the more costly because it’s time-consuming). One of the hopes of the era of Big Data has been that having access to a wealth of scientific information could help speed the discovery process. However, the data itself has proven to come with many challenges. Medicinal chemists like myself are often frustrated in our attempts to integrate and work with disparate and unstructured sets of data.

(more…)

Integrating Chemistry Data Sources Provides Big Benefits

Posted on April 17th, 2019 by in Pharma R&D

Unification across platforms is providing multiple benefits to organizations who pull together massive amounts of data across multiple platforms. Technology is evolving to eliminate data redundancy and silos as evidenced by the collaboration between Elsevier and Lundbeck.

(more…)

Beacon Discovery Leverages Partnerships and Elsevier Solutions to Further GCPR R&D Related Research

Posted on April 13th, 2019 by in Pharma R&D

Molecular Dreams series. Backdrop of conceptual atoms.

Beacon Discovery is a selected member of Elsevier’s The Hive, which is a partnership engine supporting innovation and R&D with emerging biotech startups. Here, Dr. Carleton Sage explains how leveraging the Elsevier suite of solutions in conjunction with an impassioned approach to GCPR research, Beacon Discovery has made significant strides in the discovery process to solve unmet medical needs.

(more…)

Advances in Automated Chemistry Extraction from Patents

Posted on April 3rd, 2019 by in Pharma R&D

Medical researchers in front of the computer

Scholarly research and literature are important elements to inform the beginning stages of R&D efforts. Automated solutions that leverage capabilities such text mining enable researchers to hone in on the most relevant data and inform their research.

(more…)

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 10