Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...
To prevent algorithmic bias, the authors call for multivariable modeling frameworks that jointly incorporate biological sex, genetic ancestry, and gender-related life-course exposures.
Clinical Trials Arena on MSN
How new technologies could transform clinical trial execution
The emergence of AI and biosensors offers a chance to address inefficiencies in drug development.
Is every hair transplant Turkey doctor an expert? How to identify true expertise, doctor-led clinics, DHI experience, and why ...
Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial ...
Objective To compare the diagnostic accuracy of minipad collected menstrual blood versus clinician collected cervical samples ...
The question of whether prehospital emergency anaesthesia and intubation improves survival in patients with major trauma has ...
Digital twins revolutionize drug discovery by integrating AI and biological data, enhancing prediction, trial design, and ...
Mayo Clinic has about 100 petabytes of structured and unstructured EHR data, and about 28 petabytes have been de-identified, but in the Mayo Clinic way. Now that data capability is being combined with ...
Explore the impact of AI in drug discovery as 2026 promises critical clinical results and industry transformations.
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