Pharma R&D Today
Ideas and Insight supporting all stages of Drug Discovery & Development
AI in Drug Discovery Has Great Potential – But Also Significant Barriers
Posted on May 1st, 2019 by Nicki Catchpole in Pharma R&D
Elsevier’s Tim Miller’s article in World Pharma Today provides a insightful lens into the reality behind the complexities of implementing artificial intelligence into the R&D cycle. While great strides have been made, the runway to realize the potential is a long one and there are many exciting discoveries left to be made and obstacles to overcome.
(more…)Elsevier is recognized as ‘Best of Show Award Finalist’ and ‘Innovative Practices Finalist” at Bio-IT World Conference & Expo 2019
Posted on April 29th, 2019 by Veaceslav Mamaliga in Pharma R&D
Elsevier held a prominent place at last weeks Bio-IT World conference, recognized as a finalist for both ‘Best of Show’ as well as ‘People’s Choice. Highlighted was Elsevier’s Entellect, a new platform for integrated data management in pharmaceutical and life sciences industries.
(more…)The Cancer-Killing Nanorobots are Coming
Posted on April 26th, 2019 by Elia Lima-Walton, MD in Pharma R&D
In recent years, robotics, AI, and Machine Intelligence have been at the forefront of the symbiotic need for humans and our own AI technology to work together. Last year, ground breaking research by molecular chemists at Arizona State University has taken cancer research and treatment to a new level. They are in the process of developing an “origami-inspired” system that can identify the tumor, attack, and deploy a mechanism to suffocate the tumor. Innovation is everywhere in this field, and this one is truly amazing.
(more…)On World Malaria Day, Assessing Progress in the Fight Against a Persistent Disease
Posted on April 25th, 2019 by Nicki Catchpole in Pharma R&D
Today marks the WHO’s worldwide recognition of those affected by malaria and the widespread global effort to develop a cure. The Elsevier Professional Services team exemplifies this effort with the creation of a database covering interactions and functions of P. faciparum proteins. This is the deadliest of the Plasmodium species that cause malaria in human beings.
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