Identification of cohorts at higher risk of cancer can enable earlier diagnosis of the disease, which significantly improves patient outcomes. In this study, we select nine cancer sites with high incidence of late-stage diagnosis…
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Age is the most important risk factor for the majority human diseases, leading to the exploration of innovative approaches, including the development of predictors to estimate biological age (BA). These predictors offer promising insights…
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For the 173rd episode of the Healthcare IT Today Podcast, I am joined by special guest host Brian Eastwood to talk about the next chapter of telehealth! We kick this episode off by discussing…
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The current standard-of-care (SOC) practice for defining the clinical target volume (CTV) for radiation therapy (RT) in patients with glioblastoma still employs an isotropic 1–2 cm expansion of the T2-hyperintensity lesion, without considering the heterogeneous…
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The integration of physics-based digital twins with data-driven artificial intelligence—termed “Big AI”—can advance truly personalised medicine. While digital twins offer individual ‘healthcasts,’ accuracy and interpretability, and AI delivers speed and flexibility, each has limitations….
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FemTech apps and devices rely on highly sensitive data. It is in everyone’s interests to close loopholes in regulation, writes Erin Thomson
FemTech is one of the fastest-growing industries, bringing groundbreaking innovations to women’s health….
Drug-induced liver injury poses significant challenges in drug development and in clinical care. This study builds on prior work developing a Human Liver Virtual Twin by creating a Multiscale Computational Fluid Dynamics framework that…
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FemTech firm Flo Health has adopted a data intelligence platform from Databricks to power its analytics and AI initiatives and deliver personalised menstrual cycle predictions.
The team implemented the Databricks solution to replace fragmented data…
The complexities inherent in EHR data create discrepancies between real-world evidence and RCTs, posing substantial challenges in determining whether a treatment is likely to have a beneficial impact compared to the standard of care…
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Sepsis is a dysregulated host response to infection with high mortality and morbidity. Early detection and intervention have been shown to improve patient outcomes, but existing computational models relying on structured electronic health record…
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