Schuhmacher, Alexander, Brieke, Clara, Gassmann, Oliver, Hinder, Markus and Hartl, Dominik (2021) Systematic risk identification and assessment using a new risk map in pharmaceutical R&D. Drug discovery today, 21. S1359--6446.

Abstract

Delivering transformative therapies to patients while maintaining growth in the pharmaceutical industry requires an efficient use of research and development (R&D) resources and technologies to develop high-impact new molecular entities (NMEs). However, increasing global R&D competition in the pharmaceutical industry, growing impact of generics and biosimilars, more stringent regulatory requirements, as well as cost-constrained reimbursement frameworks challenge current business models of leading pharmaceutical companies. Big data-based analytics and artificial intelligence (AI) approaches have disrupted various industries and are having an increasing impact in the biopharmaceutical industry, with the promise to improve and accelerate biopharmaceutical R&D processes. Here, we systematically analyze, identify, assess, and categorize key risks across the drug discovery and development value chain using a new risk map approach, providing a comprehensive risk–reward analysis for pharmaceutical R&D.

Item Type:	Article
Date Deposited:	03 Aug 2021 00:45
Last Modified:	03 Aug 2021 00:45
URI:	https://oak.novartis.com/id/eprint/44134