Closed zurda closed 5 years ago
Match patients to best clinical trials
In diseases, such as cancer, through our machine learning-driven algorithms, domain expertise and ability to combine cancer molecular profiling data, we are giving patients hope by helping to recruit them to most suitable clinical trials. At the same time helping trial sponsors meet recruitment targets and hence save costs and reduce time to trial completion.
Data analysis of in cancer
Huge amounts of patient data are sitting in data silos in the NHS and in various health systems across the world. With relevant ethical approval and consent, we would analyse some of these data relevant to select disease populations and see how we can improve quality of care and access to treatment options or trials that may be previously unknown to patients and their clinicians.
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Dr Sola Adeleke MRCP, MBA Oncology Research Fellow Founder and CEO of Curenetics
Sola is the founder of Curenetics (formerly Aurora Medical Innovations) and an NHS England Clinical Entrepreneur . He is an oncologist with extensive experience in clinical trials, a clinical research fellow at UCL and is actively involved in cancer research.
Sola is devoted to making clinical trials more accessible to patients and clinicians. His team is using cutting edge match algorithms, data filtering techniques and machine learning to match the right patients to the right trials within the NHS
I can get my mug shot over to you, if needed.
@sesola :) Thanks! We'll add this in today.
@sesola , we're about to add text to the about page. If you have anything in mind - feel free to add it to this issue.