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Technology plays a critical role in helping patients, and the clinicians and institutions they trust, make every moment matter in the fight against cancer.

With this blog, we aim to explore the challenges faced by the clinical trial and cancer registry communities and bring light to the innovative solutions that are transforming the landscape.

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A More Inclusive Future: DE&I in Clinical Trials

It’s no secret that there has been a growing awareness of the importance of diversity, equity, and inclusion (DE&I) in clinical...


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Topics: clinical trials, clinical studies, DI&E,

How Technology is Boosting Clinical Trial Recruitment

Clinical trial participants hail from all walks of life. They are young and old, representing myriad races and ethnicities, and...


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Topics: artificial intelligence, clinical trials, clinical studies,

Navigating the Complexities of Clinical Trial Staffing

Achieving accrual targets for oncology clinical trials has always been a significant challenge, but more recently, it seems to be...


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Topics: cancer informatics, clinical trials, clinical studies,

Improving Diversity by Automating Clinical Trial Matching

At Inspirata, we believe that using technology such as Artificial Intelligence (AI) and Natural Language Processing (NLP) to...


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Topics: clinical trials, clinical studies, DI&E,

'No Decision About Me, Without Me' - Involving the Public and Patient in AI Research

In a prior post, I endeavoured to introduce the importance of patient and public involvement (PPI) in the delivery of cancer...


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Topics: ai, cancer informatics, clinical studies,

The Importance of Patient Advocacy in the Cancer Pathway

The instant my haematologist mentioned the word cancer, I stopped listening. Not purposely of course, I was in shock. Rather than...


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Topics: cancer informatics, clinical studies, patient advocacy,

Making the Case for Automating Cancer Trial Matching

During a recent virtual fireside chat, I met with industry experts Courtney Hudson, President and Founder of Carebox; and Cyntha...


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Topics: NLP, clinical trials, cancer research,