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Early Symptom-Detection Algorithms

Empatica and BARDA Collaborate on a Detection Software Aura

— July 9, 2020 — Tech
Early symptom-detection is quite important for highly contagious viruses such as COVID-19 which singlehandedly motivated the shutting down of many facets of the global economy. Many tech companies are working on gadgets and procedures that will minimize the risk that the virus poses. One partnership in this space is between Empatica and BARDA (Biomedical Advanced Research and Development Authority) who are working on the release of a proprietary COVID-19 early symptom-detection algorithm.

The software is made available through non-invasive sensors such as medical smartwatches. As the wearable tracks and offers real-time insight into the likelihood of infection, it sends information to users and healthcare providers if something is out of the ordinary. Access to such specific information allows people to make actionable decisions and seek medical advice and care sooner.

Image Credit: Empatica
Trend Themes
1. Early Symptom-detection Software - Developing and integrating algorithmic models into wearables to detect diseases like COVID-19 in early stages.
2. Non-invasive Biosensors - Creating new biosensors that can deliver fast, accurate and non-invasive diagnosis of viruses through wearables.
3. Healthtech and Machine Learning - The integration of healthtech and machine learning algorithms to provide remote, predictive, and preventive care.
Industry Implications
1. Healthcare - Integrating early symptom detection algorithms in healthcare to provide remote and proactive care to patients.
2. Technology - Integrating AI with wearables for mass health care monitoring systems that can alert people of fatal illnesses and pandemics.
3. Big Pharma - Incorporating non-invasive wearables and machine learning coding to develop early diagnosis algorithms and fast-track therapeutic treatments.
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