Why Synthetic Data is the Antidote to Clinical Trials
To address the clinical burden and enhance R&D, companies are turning to virtual solutions. This involves synthetic data, digital twin models, and AI to speed analysis.
CEO Building AI’s “Health Universe” Utterly Unperturbed By Rivals
"We spend a lot of time focused on building the experiences that we think are the future of healthcare, and we don't spend a heck of a lot of time worrying about what other people are doing," declares Dan Caron, founder and CEO of Health Universe. Here's a Q&A with the leader of the Kleiner Perkins-backed company.
The Hidden Administrative Tasks Draining Small Practices
Small practices play a critical role in healthcare delivery, but they cannot continue to absorb ever-increasing administrative demands without consequences.
Augmenting Brain Power: Real-World Data, Advanced Analytics, and the Future of Clinical Trials
The application of AI technology is part of a carefully orchestrated effort dependent on human intelligence, and the collaboration of physicians, disease-specific specialists, nurses, data scientists, and technologists. Done right, these efforts can lead to profound benefits, and offer a promising future for clinical research and patient care.
Watershed Health Raises $14M For Its Care Coordination Platform
Watershed Health closed a $13.6 million funding round this week. The New Orleans-based company seeks to improve care coordination by connecting providers of all types across the healthcare system.
How Integrated Real-World Data Leads to More Meaningful Results
In order to understand the current state of the healthcare system it is essential to have comprehensive sources of real-world and integrated data linked with data from across the healthcare ecosystem.
Uncovering the Hidden Insights in Clinical Trial Documents: Critical Steps to Intelligent Document Processing
In clinical trials, pharmaceutical companies are seeking to optimize operations and improve efficiency by automating and enhancing processes through Artificial Intelligence (AI) and Machine Learning (ML). One area where this can reap tangible benefits across clinical trials is in data processing. A typical clinical trial generates over 13,000 documents in various formats (text, voice, video, […]
Beyond Analytics: How Sellers Dorsey is Hard-Coding Value into Medicaid Policy [Video]
How to turn analytics into actual policy outcomes.
Now More Than Ever, Biopharma Must Embrace Boldness to Ride Out the Economic Storm
During my 25 years in oncologic drug discovery, development and commercialization, I have seen how economic cycles can skew priorities and slow progress – but we cannot let that happen.
Clinical Trials Have A Data Problem. Here’s How The Industry Can Solve It.
To maximize the digital clinical trial opportunity, it is imperative to establish a solid foundation of data collection and management best practices and capitalize on the advancements in data management technologies.
Integrated evidence: How patient data derived from digital healthcare delivery can drive innovation
For a long time, doctors’ offices, large or small, operated under a seeming contradiction; even as modern medicine pushed the frontiers of innovation, providing new treatments and sometimes cures for devastating diseases, so much of our healthcare system remained stuck in the pre-digital past. The most obvious example is one that many of us have […]
How is AI moving the needle in the pharmaceutical industry?
Artificial intelligence can help drug study teams solve operational, scientific and ethical challenges. For example, AI can be used to flag real-time trends emerging in drug trials that might otherwise not be obvious until the end of a study when all the data is analyzed.
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Survey on the Healthcare Financial Landscape Offers a Roadmap for Stakeholders
Zelis highlights how employers, payers, and consumers are integrating digital tools to manage healthcare costs.
The importance of AI-enabled drug research to develop effective therapies
AI’s ability to quickly scan and synthesize huge volumes of information is being adopted for numerous healthcare initiatives, including use in pharmaceutical drug discovery and development.
The case for widespread use of sensor-data in healthcare
The science of using sensor data to define, measure, and create mathematical models of disease can lead to better outcomes—and huge benefits—for everyone in healthcare and life sciences.