RT Journal Article
T1 Collaboration and knowledge integration for successful brain therapeutics – lessons learned from the pandemic
A1 Loza García, María Isabel
A1 Hmeljak, Julija
A1 Bountra, Chas
A1 Audia, James E.
A1 Chowdhury, Sohini
A1 Weiman, Shannon
A1 Merchant, Kalpana
A1 Blanco, María-Jesús
K1 Brain therapeutics
K1 Networking
K1 Translation
AB Brain diseases are a major cause of death and disability worldwide and contribute significantly to years of potential life lost. Although there have been considerable advances in biological mechanisms associated with brain disorders as well as drug discovery paradigms in recent years, these have not been sufficiently translated into effective treatments. This Special Article expands on Keystone Symposia's pre- and post-pandemic panel discussions on translational neuroscience research. In the article, we discuss how lessons learned from the COVID-19 pandemic can catalyze critical progress in translational research, with efficient collaboration bridging the gap between basic discovery and clinical application. To achieve this, we must place patients at the center of the research paradigm. Furthermore, we need commitment from all collaborators to jointly mitigate the risk associated with the research process. This will require support from investors, the public sector and pharmaceutical companies to translate disease mechanisms into world-class drugs. We also discuss the role of scientific publishing in supporting these models of open innovation. Open science journals can now function as hubs to accelerate progress from discovery to treatments, in neuroscience in particular, making this process less tortuous by bringing scientists together and enabling them to exchange data, tools and knowledge effectively. As stakeholders from a broad range of scientific professions, we feel an urgency to advance brain disease therapies and encourage readers to work together in tackling this challenge.
PB The Company of Biologists
YR 2022
FD 2022-12-01
LK https://hdl.handle.net/10347/45541
UL https://hdl.handle.net/10347/45541
LA eng
NO Dis Model Mech (2022) 15 (12): dmm049755
DS Minerva
RD 4 may 2026