Abigail Beaney

Preston's Summary

Abigail Beaney is a journalist who specializes in covering clinical trials and medical advancements. With a diverse range of publications, including Medical Device Network and Lancashire Telegraph, Abigail provides insightful and informative articles on the latest developments in the field of healthcare. Her work highlights the importance of clinical trials in advancing medical treatments and improving patient outcomes.

Preston is the artificial intelligence that powers the Intelligent Relations PR platform. Meet Preston

Geo Focus

Coverage Attributes:

Beta
Press Release: 39 %
Cites Data: 25 %
Government Announcement: 12 %
Investment Analysis: 6 %
Private Sector Announcements: 4 %

Themes Covered:

Not enough data icon

Not enough data

Most Recent Topics:

  • Gene Therapy
  • Oncology
  • Immunology
  • Psychiatry
  • Dermatology
  • Hematology

Pitching Insights

Abigail's coverage heavily focuses on healthcare and pharmaceuticals, with a significant emphasis on clinical trials, drug development, and medical research. She frequently cites data and press releases in her articles.

To effectively reach out to Abigail, consider providing access to reliable data or statistics related to the topic being pitched. Additionally, she may be interested in exclusive announcements or early access to information about upcoming clinical trials or groundbreaking developments in pharmaceuticals and medical research.

It is important to note that Abigail does not have a specific geographic focus but appears open to covering global developments within the healthcare and pharmaceutical industries.

This information evolves through artificial intelligence and human feedback. Improve this profile .

Journalists With Similar Coverage:

Based on similarity of content.
Most recent topics
Not enough data
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Publications
Most recent topics
Not enough data
Most recent topics
Not enough data
Most recent topics
Not enough data