As our mission states, we are expanding the early prediction of risk from gestation to geriatrics. Apart from MIHIC, our suite of AI offerings also includes Mental, Renal and Hepatic health.
Mental health as defined by World Health Organization (WHO) is “a state of well-being in which the individual realizes his or her own abilities, can cope with the normal stresses of life, can work productively and fruitfully, and is able to make a contribution to his or her community”.
- Research has shown Mental Health is affected by socio-economic, environmental, and biological factors.
- CognitiveCare's AI platform can help predict four mental health issues -- Depression, Anxiety, Addiction and Propensity for Suicide.
- The early detection of such disorders will help identify vulnerable patients and enable caregivers to intervene early.
- Prolonged Hypertension and Hyperglycemia are the leading causes of Kidney Disease in adults.
- Acute kidney injury and Chronic kidney disease are responsible not only for high morbidity and mortality in adults but also cause immense financial burden on health systems.
- CognitiveCare's AI platform uses advanced Neural Networks and Deep Learning algorithms to uncover hidden patterns in pathology data. These algorithms help identify kidney diseases early, enabling care givers to timely intervene and mitigate or reverse the degeneration of kidneys in patients with Hypertesion and Hyperglycemia.
- In Hepatic Health, our AI algorithms are focused on early identification and quantification of NASH (Non-Alcoholic Steato-Hepatitis) risk using blood panel pathology data.
- Studies have shown that most people suffering from NASH don’t show any symptoms until very late in the disease, thus making it difficult to intervene early.
- Current treatments include addressing symptoms related to co-occuring conditions such as high-cholesterol, type-2-diabetes or obesity versus treating the actual underlying manifestations specific to NASH. Therefore, CognitiveCare's algorithms serve as a a huge breakthrough in early detection of NASH.