Birdshot AI Detection and Monitoring
Our platform enables researchers to capture a comprehensive range of patient data, seamlessly integrate it with off‑site imaging, and deliver actionable insights dynamically to clinicians. It features an anonymised database and a secure analytics workspace tailored for machine learning and AI development, all with full remote data‑entry and access capabilities.
Click to learn more
Birdshot is a rare disease, which has historically made the collection, storage and analysis of related data particularly challenging. Traditional research methods have struggled to overcome key technical barriers, especially the absence of a single, integrated platform capable of supporting protocol-driven data capture, image acquisition, secure access, and advanced analytics. The challenge was further compounded by the need to deploy this solution across six different NHS trusts nationwide, each with its own infrastructure and requirements.
Impact
8
Collection sites
20,000
Data points
AI enabled
Discovery of new eye scan dimensions
Multiple Sclerosis Real World Evidence Collection
Our platform is designed to enhance clinical research by integrating structured patient onboarding, remote symptom monitoring and highly configurable data collection schedules. It centralises high‑frequency, longitudinal data collection – including pathology results, MRI findings, adverse events, and patient‑reported symptoms – to generate research‑grade datasets that enable statistical analyses and machine learning applications. Our tool empowers researchers to conduct virtual assessments and perform dynamic data analysis. It also enables rapid iteration on treatment hypotheses, accelerating translational research and innovation in MS care.
Click to learn more
Multiple sclerosis (MS) affects approximately 2.8 million people worldwide and is a leading cause of non-traumatic neurological disability among young adults. In the research arena, inconsistent data collection and delays in detecting subtle changes in disease activity can impede our ability to understand disease progression and response to therapies. This gap in standardised, continuous, and high-quality data contributes to variability in research outcomes and challenges in developing predictive models, ultimately hindering the optimisation of therapeutic strategies.
Impact
2-months
Acceleration of treatment to market
~45%
Reduction in data entry workload
9-day
Reduction in time-to-database lock
Ophthalmology lens longitudinal study
Our platform enables researchers to capture data from patients using Ortho‑K lenses to manage high myopia. All information is securely anonymised and consolidated within a dedicated analytics workspace, empowering machine‑learning experts to explore and extract actionable insights. With seamless remote data entry and retrieval, the platform accelerates a better understanding of the clinical management of high myopia with the use of Ortho-K lenses.
Click to learn more
High myopia is a progressive eye condition traditionally managed with spectacles or soft contact lenses. One of the most advanced non-invasive treatment options is overnight orthokeratology (Ortho‑K), which temporarily reshapes the cornea to correct refractive error. To ensure optimal outcomes and maintain patient safety, continuous long-term monitoring of ocular health is essential throughout the course of Ortho‑K treatment. Often putting a strain on clinic capacity and limiting access for patients in underserved areas.
Impact
1k
Studies
6
Collection sites
10 year
Study length
Contact us for more information, private demonstration, or with any questions you may have.
Acknowledgement
Big Picture Medical acknowledges the Traditional Custodians of Country throughout Australia and their connections to land, sea and community. We pay our respect to their Elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
© 2024 All rights reserved