The world of pharmaceuticals is evolving with new discoveries, innovations, and advancements shaping the future of healthcare. This Article Collection aims to explore this topic, gathering insights and perspectives from experts in the field to predict and discuss innovations that are expected to emerge in this constantly evolving field over the next decade and a half.
The goal of this Frontiers open Access Article Collection is to provide a forward-looking perspective on Experimental Pharmacology and Drug Discovery, allowing experts to anticipate and adapt to the changes and new trends that will shape the healthcare and pharmaceutical industry in the future.
This Collection welcomes a range of topical articles that explore new technologies, methods, and research in Experimental Pharmacology and Drug Discovery that are poised to shape our future.
The scope of this Article Collection covers an array of topics that will impact Experimental Pharmacology and Drug Discovery in 2035. One of the key areas of focus within this collection is the advancement in precision medicine and personalized drug development. As we move forward, understanding individual genetic variations and tailoring treatments accordingly will become increasingly important. Moreover, the collection invites articles discussing approaches to rare diseases and the changes required in the regulatory landscape that may affect drug approval.
The development of cutting-edge technologies, such as RNA delivery, CRISPR-Cas9 gene editing technology, and genomics/multiomics, holds immense potential for targeted therapies and innovative drug discovery. Articles shedding light on these advancements and their impact on Experimental Pharmacology and Drug Discovery are highly encouraged.
Furthermore, this Article Collection explores a shift in research methodologies, as machine learning and artificial intelligence algorithms promise to optimize drug discovery and preclinical testing studies. These technologies have the potential to significantly shorten drug-to-market timelines, making the entire process faster and more efficient.
Additionally, the Collection delves into the transformation of clinical studies, with a focus on gene editing therapies, digital health applications, decentralized trials, and drug repurposing.
By anticipating future pharmacology goals, the collection will help stakeholders keep pace with the emerging trends and proactively shaping their collaborative work to make the most of what's to come.
The world of pharmaceuticals is evolving with new discoveries, innovations, and advancements shaping the future of healthcare. This Article Collection aims to explore this topic, gathering insights and perspectives from experts in the field to predict and discuss innovations that are expected to emerge in this constantly evolving field over the next decade and a half.
The goal of this Frontiers open Access Article Collection is to provide a forward-looking perspective on Experimental Pharmacology and Drug Discovery, allowing experts to anticipate and adapt to the changes and new trends that will shape the healthcare and pharmaceutical industry in the future.
This Collection welcomes a range of topical articles that explore new technologies, methods, and research in Experimental Pharmacology and Drug Discovery that are poised to shape our future.
The scope of this Article Collection covers an array of topics that will impact Experimental Pharmacology and Drug Discovery in 2035. One of the key areas of focus within this collection is the advancement in precision medicine and personalized drug development. As we move forward, understanding individual genetic variations and tailoring treatments accordingly will become increasingly important. Moreover, the collection invites articles discussing approaches to rare diseases and the changes required in the regulatory landscape that may affect drug approval.
The development of cutting-edge technologies, such as RNA delivery, CRISPR-Cas9 gene editing technology, and genomics/multiomics, holds immense potential for targeted therapies and innovative drug discovery. Articles shedding light on these advancements and their impact on Experimental Pharmacology and Drug Discovery are highly encouraged.
Furthermore, this Article Collection explores a shift in research methodologies, as machine learning and artificial intelligence algorithms promise to optimize drug discovery and preclinical testing studies. These technologies have the potential to significantly shorten drug-to-market timelines, making the entire process faster and more efficient.
Additionally, the Collection delves into the transformation of clinical studies, with a focus on gene editing therapies, digital health applications, decentralized trials, and drug repurposing.
By anticipating future pharmacology goals, the collection will help stakeholders keep pace with the emerging trends and proactively shaping their collaborative work to make the most of what's to come.
