Resources & Articles

Watch this podcast on how PicnicHealth is changing non-interventional research and patient participation with the Life Sciences Today Podcast.

Technology-driven research enables more complete data collection for better research insights. Learn more in this Clinical Trial Vanguard article.

Explore how next-generation virtual models are capturing full patient journeys in this article with PicnicHealth’s Chief Technology Officer, Troy Astorino.

In this article, see how complete medical records can be retrieved through both electronic data networks and direct facility retrieval.

Explore how value-driven data capture enables better data capture in observational research. Learn more.

Meet your early breast cancer research needs with PicnicHealth’s eBC Registry. Access insights from comprehensive patient journeys. Learn more.

See how Erin supports PicnicHealth’s partners with understanding patient communities and advancing their research.

Long-term follow-up (LTFU) studies are often a complicated and costly requirement for life sciences companies, but they can be greatly simplified with the advent of AI and other new technologies.

In this interview with Applied Clinical Trials, our Chief Commercial Officer, Rachael Higgins, discusses how to overcome the challenges associated with traditional research methods by leveraging a technology-driven approach. Check out her answer.

New research reveals 80% of life sciences leaders are open to virtual models to conduct observational research. Read Press Release.

Explore what priorities and challenges life sciences leaders are facing in 2025 in observational research. This survey reveals an adoption of tech approaches.

PicnicHealth and AstraZeneca are developing an early breast cancer registry to inform deeper research and impact treatment, policy and patient care. Check it out!

AI optimization, biosimilar market growth, and more are expected in 2025. Check out this article for expert insights on what's to come for research.

Overcome traditional observational research limitations with PicnicHealth’s modern approach to data access & curation. Answer more complex research questions.

Explore the modern approach to pregnancy registries. Collect the insights needed to answer your research questions, no matter how complex.

AI empowers better real-world insights around patient needs compared to site-based and off-the shelf real-world data. Learn more about AI research approaches.

Check out this Employee Spotlight on our Clinical Research Nurse who supports the design and implementation of products to enhance our data capture capabilities.

Site-based studies can miss critical insights on the patient journey. This analysis compares data availability of a single network to PicnicHealth’s approach.

At Web Summit 2025 in Lisbon, our Co-founder and CTO, Troy Astorino, shared his thoughts on how AI can enable patient-focused care and research participation. He discusses how PicnicHealth simplifies access to diverse information sources and drives improved health outcomes. Check out this recap of his discussion!

Our Chief Medical Officer, Dan Drozd, MD, MSc, shares his insights with MedCityNews on the evolution of research and how PicnicHealth’s approach is tailored to meet the unique needs of observational research. Discover his perspective on the crucial role of observational research in integrating the patient voice and supporting innovative therapy programs like CAR T.

Understand the role that AI and observational research should play in modernizing research, with Noga Leviner, Co-founder and CEO of PicnicHealth.

Hear from a research expert about his modern approach to clinical trials, incorporating truly patient-centric measures and modern tools for trial success.

PicnicHealth combines a direct-to-patient approach, industry-leading technology, and world-class clinical expertise to help life sciences companies meet study endpoints faster and with full transparency. See how we’ve modernized our approach to observational research, and how we are simplifying research for our sponsors.

Today, PicnicHealth released a preprint on LLMD, its state of the art medical large language model (LLM). LLMD achieves human-level accuracy when extracting clinical insights from medical records, and outperforms the most powerful and general and industry-specific LLMs. This model highlights how AI can realize the potential of real-world data (RWD) and offers life science companies a more efficient, powerful way to gain valuable clinical insights.

PicnicHealth is simplifying observational research by combining a direct-to-patient approach, industry-leading AI and technology, and world-class clinical expertise to capture the patient experience in an unprecedented level of detail.