PUBLISHER: Greystone Research Associates | PRODUCT CODE: 1348942
PUBLISHER: Greystone Research Associates | PRODUCT CODE: 1348942
“Handheld Devices for High Viscosity Injectables: Devices, Markets, Strategies and Forecasts” is a comprehensive evaluation and analysis of the technology, products and participants providing the driving force behind this evolving segment of the healthcare sector. The study is designed to provide drug company decision makers, drug delivery developers, device designers, healthcare marketers, and supply chain participants with a detailed understanding of the economics, technologies, opportunities for handheld injection devices that are capable of injecting drugs with high viscosities. Provider organization business managers, healthcare administrators and investors will also benefit from this study.
Growth in high viscosity drugs is being driven by advances in biotechnology and host-vector engineering - advances that have led to a steady stream of biologics for a number of ailments and conditions. These powerful drugs come with a high cost-per-dose and the risk of significant side effects - factors that place an elevated emphasis on administration efficiency, safety and reliability. Many drugs in this class are characterized by physical properties and sensitivities that challenge the drug commercialization ecosystem. For example, monoclonal antibodies, perhaps the most significant category in terms of therapeutic and commercial importance, typically possess viscosities that are well above the normal limits of subcutaneous injection devices and techniques. Without a technical solution, these high viscosity drugs are formulated and supplied for infusion, a trend that threatens to put additional pressure on patient logistics and healthcare economics. Drug developers and device designers are increasingly working in collaboration to address the goal of subcutaneous administration of high viscosity injectables.
Numerous graphs, charts, tables and visualizations complement the analysis.
Forecasts, projections of future market activity are derived using standard modeling and statistical techniques.