Future of Health. Future of AI
We use sophisticated AI algorithms with IoT sensors to allow patients to monitor their health
We apply analytic methodologies to clinical, diagnostic data to help healthcare professionals make sound decisions
We specialise in collecting, obfuscating, harmonizing and enriching clinical data to apply descriptive and predictive methods
Diagnosis is often challenging, because many signs and symptoms are nonspecific. For example, redness of the skin (erythema), by itself, is a sign of many disorders and thus does not tell the healthcare professional what is wrong. Thus differential diagnosis, in which several possible explanations are compared and contrasted, must be performed. This involves the correlation of various pieces of information followed by the recognition and differentiation of patterns. Occasionally the process is made easy by a sign or symptom (or a group of several) that is pathognomonic. Diagnosis is a major component of the procedure of a doctor's visit. From the point of view of statistics, the diagnostic procedure involves classification tests. Our app integrates IoT sensors with Machine Learning AI to provide accurate diagnostic results.
Leverage clinical data,analytics and AI to drive the right treatment decision earlier.
Identify health risk on specific biomarkers to improve quality, manage risk and reduce costs.
We predict your health with the help of data analysis and machine learning.
Medical treatment tailored to characteristics of each individual.
We use proprietary deep machine learning for most accurate diagnosis.
Find new commercial opportunities for clinical diagnostic assets.
Find the perfect plan for you — 100% satisfaction guaranteed.