H1 Blog

MAY 4, 2023

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.

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Pharmaceutical Companies Clinical Research Pharma Companies Pharmaceuticals 52

H1 Blog

JULY 30, 2024

The recent draft by the FDA introduces additional guidelines for Diversity Action Plans aimed at improving diversity in clinical research. Quality insights make a difference and H1 has the data needed to support compliance with FDA requirements and diverse clinical trials. Find out more by requesting a demo today.

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FDA Clinical Trials Compliance Pharma Companies 59

H1 Blog

DECEMBER 18, 2023

Pharmaceutical companies are on the brink of a tech revolution, and will embrace AI as a means to enhance their operations and research capabilities. In the near term, AI will be all about saving time, simplifying work processes, and knocking down language and jargon barriers in healthcare and clinical research.

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Trials Clinical Trials FDA Pharmaceutical Companies 64

Vial

JUNE 24, 2024

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.

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Clinical Trials Trials Clinical Research Treatment 52

H1 Blog

MAY 18, 2023

Clinical Research Organizations (CROs) play an important role in the success of clinical trials. CROs & Trial Diversity Diversity is an essential element of any clinical trial’s success because it allows researchers to obtain results that accurately represent all members of a population being studied.

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Clinical Trials Trials Clinical Research Research 52

H1 Blog

NOVEMBER 29, 2023

Data sharing is crucial for promoting scientific discoveries and informed decision-making in clinical practice. Without access to all the relevant data, researchers are unable to fully understand the complexities of diseases and develop effective treatments.

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