Real-world evidence (RWE) to reduce the size and duration of clinical trials

Droice Labs discusses SuperLineage for real-world data traceability at FDA listening session

Droice Labs met with the Food and Drug Administration’s Real-World Evidence Subcommittee in a listening session to discuss SuperLineage, a standardized format and approach, developed by Droice. SuperLineage stores element-level data lineage and traceability to enable trust and reliability in real-world patient data (RWD) for regulatory decision-making. Here’s a snippet from the discussion: RWD sources… Continue reading Droice Labs discusses SuperLineage for real-world data traceability at FDA listening session

Droice comments to the FDA on recent draft guidance on external control arms

Droice Labs had the opportunity to submit a letter to the FDA on their draft guidance titled Considerations for the Design and Conduct of Externally Controlled Trials for Drug and Biological Products (referred to as “Draft Guidance”). The Draft Guidance recognizes the importance of utilizing real-world data (RWD) for external control arms (ECA) and lays… Continue reading Droice comments to the FDA on recent draft guidance on external control arms

AI is top game-changing technology in healthcare industry

In this Forbes feature, Mayur Saxena, CEO and co-founder of Droice Labs discusses the importance of comprehensive patient data in enhancing healthcare, leveraging AI and machine learning to organize complex patient data efficiently, enabling healthcare professionals to spend more time analyzing it for personalized care, and prioritizing patient privacy and digital trust.  Here’s a snippet… Continue reading AI is top game-changing technology in healthcare industry

Embracing the noise and bias in healthcare data

Real-world patient data was not collected with the goal to personalize patient care, yet many attempts to repurpose this data for finding optimal treatments focus on fitting messy, noisy, and biased real-world data into pristine data models. This not only requires expensive and time-consuming cleaning processes but also strips away potentially valuable signals. However, by… Continue reading Embracing the noise and bias in healthcare data

Pharma-focused digital health accelerator PharmStars completes its inaugural program

PharmStars, a digital health accelerator focused on forging relationships between digital health companies and the life science world, has announced the culmination of its first 10-week program focused on  the theme “Innovations in Clinical Trials.”  The first cohort, including Droice Labs, was selected in September 2021 following a competitive application process. More than 70 companies… Continue reading Pharma-focused digital health accelerator PharmStars completes its inaugural program

Healthcare startups at the center of data-driven pandemic response

This article highlights the innovative approaches of healthcare startups in leveraging technology to revolutionize the industry during the pandemic. The article emphasizes the importance of real-time data in improving patient care and organizational efficiency, showcasing the transformative potential of technology in the healthcare sector. Here’s a snippet from the article: “We can understand data in… Continue reading Healthcare startups at the center of data-driven pandemic response

Droice Labs in conversation with SAP.iO

Mayur Saxena, CEO of Droice Labs, had a conversation with Ram Jambunathan, Managing Director, SAP.iO discussing the current need in the healthcare system for personalized care. The conversation revolves around how the industry is moving from a transactional-based to a value-based system, and how Droice using its technology is able to segregate essential data from… Continue reading Droice Labs in conversation with SAP.iO

The future of healthcare: data-driven personalized medicine at scale

The article discusses the persistent challenges in the healthcare industry regarding the utilization of data-driven insights to personalize patient care and improve overall efficiency. It sheds light on the importance of leveraging advanced analytical tools like machine learning and natural language processing to help organize and make sense of vast amounts of data. Ultimately, with… Continue reading The future of healthcare: data-driven personalized medicine at scale