Article | April 10, 2024

Trends Shaping The Pharmaceutical Industry's Future

By Seema Verma, EVP and GM, Oracle Health and Life Sciences

GettyImages-1163698800 patient ePRO

In the rapidly evolving life sciences sector, technology has become a driving force for innovation. The challenges posed by the pandemic have accelerated the adoption of technological advancements in the industry. Looking ahead to 2024, the life sciences sector is committed to leveraging technology to revolutionize clinical trials, enhance research diversity, empower patients, and ensure drug safety.

One notable trend is the integration of real-world data (RWD) and the emergence of targeted therapies. Through the use of generative artificial intelligence (AI) and high-performance cloud computing, researchers gain valuable insights into how patients respond to treatments in real-life scenarios. This enables the development of personalized therapies tailored to individual needs. RWD also expedites the drug discovery process, diversifies clinical trial cohorts, and supports precision medicine.

Cloud computing, automation, and generative AI will be crucial technologies in the life sciences industry. These technologies bridge the gap between limited data sets and provide access to more comprehensive and interconnected data. AI facilitates predictive signal detection, automates processes, and optimizes drug development stages. Generative AI, in particular, automates, optimizes, and offers valuable insights throughout the drug development process.

Decentralized trials and patient optionality will play a vital role in expanding the reach of clinical trials. The pandemic has accelerated the adoption of decentralized trials, and connected devices have made them a viable option for data collection. This improves patient access and convenience. By offering diverse options and connecting patients with suitable trials across various health systems and community-based trial sites, learn how patient access will only continue to increase with these technologies.

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