Patients Speak, VAMP

In the times of aging societies, medical care needs to reach more patients than ever. Health institutions are already facing the necessity to increase accessibility and conventional approach to diagnosis and treatment is losing efficiency as we speak.

Paradoxically, the way to save lives can lie in a basic human activity – speech – seen through the lens of the latest technology. Meet VAMP, the first and only pre-diagnostic voice analysis system dedicated to medical professionals.

Interested in project development?

Contact us
VAMP Voice Diagnosis App

Do we need more doctors to cure more patients?

Aging society is the new reality many countries and healthcare services are facing nowadays. With growing numbers of patients and dropping budgets of medical facilities, it has become a challenge to access early diagnosis and a sufficient level of medical care. What’s more, the changes in lifestyle and nutrition during recent years have brought an epidemic of chronic diseases and disorders, which pose severe damage to a person’s health, or even death.

80% of population aged 65+

80% of population aged 65+

suffers from at least one chronic disease.

25% of adult population

25% of adult population

is or will be suffering from mental disorders, which cause temporary or permanent changes in the patient’s general medical condition. This tendency will result in more cases of cardiovascular disease.

$47 trillion

$47 trillion

is the estimated global economic toll of non-communicable (lifestyle) diseases in the next two decades.

Detecting risk factors or a disease in its early stage can result in timely prevention, effective therapy and lower socioeconomic costs for the society as a whole.

 

Do we need more doctors to save more patients? For sure.

But with the limited number of human resources in healthcare, we need to look beyond manpower and open up to new possibilities – health services and products for mobile devices, available to patients and doctors alike.

The quiet warning in the patient’s body can finally be heard

Metabolic disturbances, depression, chronic inflammatory diseases and endocrine disorders affect speech in many aspects, including the manner of speaking, voice timber and emission, syntax, semantics and specific habits.

With the current state of technology, it is possible to develop a method of computer analysis of speech features capturing the risk of metabolic, respiratory, cardiovascular and nervous system diseases. This insight gives new possibilities in terms of timely diagnosis and effective treatment that can diminish or even reverse the harm in the patient’s body. 

With easy-to-use and widely available voice analysis tools, we can make it easier to recognise warning signs and exchange information between the patient and the doctor. This technology can be easily distributed among the users of smartphones as a mobile application. It is able to perform a pre-diagnosis based on a short speech sample or even by analysing user’s voice during phone calls. The results will be available in seconds, which lets the patient act as soon as they receive the warning.

This groundbreaking medical solution is under development as we speak. 

VAMP – Voice Analysis for Medical Professionals.

SWIPE >>

SWIPE

How VAMP will work

During a typical doctor’s appointment, the diagnosis process can be divided into three steps: interview and examination, detecting anomalies compared to a healthy person’s functioning and identifying the observed differences as the symptoms of a specific disease. VAMP cannot replace a doctor’s diagnosis, but it operates in a clear and reliable way – no magic, just science.

  1. The technology behind VAMP is based on neural networks, which are able to learn in a way comparable to a human brain. The network is trained by analysing large amount of data in the form of voice samples from both healthy people and those suffering from various diseases.
  1. Based on the analysed samples, the network creates classification models for different voice samples. Each disease acts as a separate model that can be classified based on the user’s voice sample.
  1. With enough information processed, the algorithm is able to detect anomalies in the voice sample by comparing it to the healthy person’s voice.
  1. Patients and doctors can share the results instantly and take action if the application detected any worrying symptoms.

Stay tuned about VAMP

Encourage users to download the app. After having introduced the features and advantages, give them a little push before they leave.