Digital biomarkers are healthcare’s next frontier – TechCrunch
Blood pressure, body temperature, hemoglobin A1c levels and other biomarkers possessed been used for decades to track disease. While This Problem information is essential for chronic condition management, these and many other physiological satisfaction measurements are typically captured only periodically, making it difficult to reliably detect early meaningful changes.
Moreover, biomarkers extracted from blood require uncomfortable blood draws, can be expensive price to compare, and again, are not always timely.
Historically, continuous tracking of an individual’s vital signs meant they had to possess meaning in a hospital. But that’s not true anymore. Digital biomarkers, collected from wearable sensors or through a device, offer healthcare providers an abundance of traditional and generation data to precisely monitor and even predict a sick person’s disease trajectory.
of course cloud-based servers and sophisticated, yet inexpensive, sensors both on the body and off, patients can be monitored at home again effectively than in a hospital, especially when the sensor data is analyzed of course artificial intelligence (AI) and machine-learning science.
Opportunities for digital biomarkers
A major opportunity for digital biomarkers is in addressing neurodegenerative diseases such as mild cognitive impairment, Alzheimer’s disease and Parkinson’s disease.
Neurodegenerative disease is a major target for digital biomarker development due to a lack of easily accessible indicators that can help providers diagnose and manage these conditions. A definitive diagnosis for Alzheimer’s disease today’s time, for example, generally requires positron emission tomography (PET), magnetic resonance imaging (MRI) or other imaging studies, which are often expensive price and not always accurate or reliable.
price savings and other benefits
Digital biomarkers possessed the potential to unlock significant value for healthcare providers, companies and, most importantly, patients and families, by detecting and slowing the development of these diseases.
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