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Debunking the myths of artificial intelligence in cancer care

Artificial intelligence has quickly become a dominant topic of discussion among those with an interest in healthcare technology, and oncology is positioned to be one of the biggest beneficiaries of AI’s ability to ingest and analyze huge volumes of information in increasingly sophisticated ways. With all the excitement around rapid progress in the AI space, it’s no wonder that there is a lack of clarity around what’s currently possible with AI – and what our goals should be for this powerful ...

Clearview Cancer Institute achieves high concordance with NCCN Guidelines® using Flatiron Assist™

Health equity: What are leading cancer centers doing to reduce health disparities?

Webinar: AI and Machine Learning is here — what does that mean for cancer care?

Real-World Evidence

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Real-World Evidence

Scaling real-world data curation through machine learning and large language models

Learn about Flatiron’s latest discoveries and key learnings in applying machine learning (ML) and large language models (LLM) to unlock insights on large patient populations. Technology is fundamental to Flatiron’s mission of learning from the experience of every person with cancer. In particular, machine learning is critical to understanding the experience of people with cancer at scale. As cancer care becomes increasingly targeted, expanding the number of patients that we can learn from ...

Real-World Evidence

ASH 2023 Preview Webinar: Innovative approaches to evidence generation that unlock key insights in hematologic cancer

Real-World Evidence

Oncology case studies: How two life sciences companies applied real-world evidence to drive innovation

Real-World Evidence

Navigating Medicare drug price negotiation in oncology: applications for real-world evidence

Clinical Research

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Clinical Research

Laying the foundation for integrated evidence

A recent analysis of U.S. Food and Drug Administration (FDA) drug approvals between 2010 and 2020 indicates that the median time from initiation of clinical testing to licensing is 8.3 years.1 A significant amount of data needs to be collected over a lengthy period in order to generate meaningful evidence to bring new therapies to patients. The time spent at clinical research sites to collect these data slows down the ability to generate evidence on benefits and risks, and there is a critical ...

Clinical Research

Reinventing prospective study data acquisition and delivery

Clinical Research

How does Flatiron reduce the burden of PMC/PMR studies for sponsors, sites, and patients?

Clinical Research

What role do services play in PMC/PMR studies, supported by Flatiron?

Flatiron Culture

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Flatiron Culture

Evolving the Flatiron Brand

Flatiron today isn’t the same company as the one founded nearly eleven years ago. We’ve evolved. Over the course of the past decade plus, we’ve built upon the foundation of those early days and now have a legacy in technology and data science that’s propelling our forays into clinical research, clinical decision support, end-to-end evidence solutions, and global expansion. These new endeavors mean that we’re even more poised to make accelerated progress toward our mission: improving and ...

Flatiron Culture

Clinico-Genomic Data is a Game Changer for Precision Oncology

Flatiron Culture

How Flatiron employee initiatives are helping the planet—and the bottom line

Flatiron Culture

Why data and technology are essential to reimagining the infrastructure of cancer care

Technology & Engineering

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Technology & Engineering

Scaling real-world data curation through machine learning and large language models

Learn about Flatiron’s latest discoveries and key learnings in applying machine learning (ML) and large language models (LLM) to unlock insights on large patient populations. Technology is fundamental to Flatiron’s mission of learning from the experience of every person with cancer. In particular, machine learning is critical to understanding the experience of people with cancer at scale. As cancer care becomes increasingly targeted, expanding the number of patients that we can learn from ...

Technology & Engineering

Clinico-Genomic Data is a Game Changer for Precision Oncology

Technology & Engineering

Why data and technology are essential to reimagining the infrastructure of cancer care

Technology & Engineering

Achieving the impossible for rare populations: Leveraging technology to open opportunities for patients with hematologic malignancies