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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De-identified NHS data from 57 million people in England is being used to train a generative AI model capable of predicting future health outcomes.
The model, called Foresight, is being tested by researchers at University…
Accurate assessment of progression and disease course in multiple sclerosis (MS) is vital for timely and appropriate clinical intervention. The gradual transition from relapsing-remitting MS (RRMS) to secondary progressive MS (SPMS) is often diagnosed…
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The capabilities of generative AI continue to grow. Using them wisely will likely improve clinical decision making.
By Paul Cerrato, MA, senior research analyst and communications specialist and John Halamka, M.D., Diercks President, Mayo Clinic…
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Computer scientists at Loughborough University have developed an AI model to predict how long a person with a learning disability is likely to stay in hospital.
It was created as part of the ‘DECODE’ project,…
