Remove Clinical Research Remove Demo Remove Pharmaceuticals
article thumbnail

FDA Poised to Make Impact on Underrepresented Populations in Clinical Studies

H1 Blog

The recent draft by the FDA introduces additional guidelines for Diversity Action Plans aimed at improving diversity in clinical research. Hence, pharmaceutical companies need to start making preparations to ensure compliance with the new requirements. Find out more by requesting a demo today.

FDA 59
article thumbnail

Four Ideas for Pharma to Maximize the Influence of Digital Opinion Leaders in Medicine

H1 Blog

Insights for Thought Leading Stakeholder Engagement to Decrease Medication Non-Adherence Pharmaceutical companies have long recognized the importance of engaging key opinion leaders (KOLs) to gain insight and support for clinical research, drug development, and medical education.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Trials, Data, Diversity – H1’s Top 5 Diagnoses (Predictions) for Biotech and Pharma in 2024

H1 Blog

Every year, we take a look at annual predictions to help life sciences, pharmaceutical, and healthcare companies understand larger industry trends and dynamics to prepare for the new year. These forecasts, curated by our own experts and thought leaders, shed light on the changes set to reshape the healthcare and pharmaceutical sectors.

Trials 64
article thumbnail

Predictive Analytics in Clinical Trials

Vial

The fields of artificial intelligence (AI) and machine learning (ML) are increasingly influencing clinical research and development (R&D). Contract research organizations (CROs) and pharmaceutical companies can leverage these cutting-edge technologies to streamline clinical trials and introduce automation in drug discovery.

article thumbnail

Optimizing Clinical Data Registries: Opportunities for Diversity and Feasibility

H1 Blog

The initial report, which came out In 2013 from PhRMA/EFPIA, recognized the importance of data sharing and supported initiatives to enhance clinical trial data transparency and promote scientific advancements. Case Study: Equitable Clinical Trial Access for Women, Minorities Among Cardiovascular Disease in the U.S.