Biomed Digital

Diagnosing early onsets of dementia can be a challenge for clinicians. Current diagnostic tools usually cannot identify people in the early stages of disease. By the time patients receive a diagnosis, neurons have died and the brain may be well into the process of atrophy and inflammation.

Biomed Digital, LLC aims to leverage wearable technologies for biodata collection in conjunction with the powerful deep learning capabilities of machine learning. By gathering data from people not yet showing obvious clinical symptoms of cognitive decline, these devices could one day be used to create a digital phenotype that helps clinicians diagnose dementia early, before neuronal death.

Our team seeking to develop machine learning algorithms trained on a substantial quantity of clinical datasets to distinguish which individuals had cognitive impairment and which were healthy, based solely on the pattern of digital data received from the participants’ wearable devices and their responses to simple iPad tasks.

While in its early stages, further development of this data driven approach may yield substantial benefits for patients and medical providers in aiding diagnostics of Alzheimer's disease.

We follow strict privacy and security measures to protect consumer data such as the US Health Insurance Portability and Accountability Act of 1996 (HIPAA) to protect health information in electronic form.

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