Measure cough as an objective clinical finding

Hyfe AI detects and tracks cough in real-time, remotely and at scale 

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Measure cough as an objective clinical finding

Hyfe AI detects and tracks cough in real-time, remotely and at scale.

Get a Quote Now
Collaboration

Our Research Partnerships

All over the world

Sewanee

,

COVID-19

Tennessee, USA

U. of Florida EPI

,

COVID-19

Florida, USA

Johns Hopkins

,

TB

Uganda

UCSF

,

TB

Uganda

U. of Florida EPI

,

COVID-19 and TB

Haiti

Navarra Clinic

,

Sleep Apnea

Navarra-Pamplona, Spain

Landmark study

,

COVID-19

Navarra-Pamplona, Spain

Peru TB study

,

TB

Peru

Gates Medical Research Institute

,

Multi-Drug Resistant TB

Vietnam

Institut Pasteur

,

TB

Madagascar

Azabu University

,

Canine Cough

Japan

Ifakara Health

,

TB

Tanzania

Global Health Partners

,

TB

Bihar, India

Global Health Labs

,

TB

Phillippines

Global Health Labs

,

TB

South Africa

Global Health Labs

,

TB

India

Global Health Labs

,

TB

Vietnam

CRCHRUM

,

COVID-19 and Cystic Fibrosis

Quebec, Canada

Hospital Moinhos de Vento

,

COVID-19

Puerto Alegre, Brazil

Alem Health

,

COVID-19

Afghanistan

Features

Cough Data, Remotely and at scale

Hyfe AI can be deployed on any smartphone for reliable cough detection and tracking at scale. 

Our powerful AI detects and records every cough. Cough is now objective, reliable clinical data.

Feature

Objective data

Our powerful AI detects and records every cough. Cough is now objective, reliable clinical data.

While the medical value of cough tracking has long been recognized as a critically important tool in patient care and public health, until recently technology has lagged behind the need for effective cough monitoring solutions. Clinicians have had to rely on qualitative data (patients’ reports), or they have been forced to take clinical decisions on insufficient data points. 

Hyfe changes all of that. Our AI detects 98% of all coughs throughout the day, providing clinicians with an unprecedented level of objective clinicla data.

Our AI detects cough in real-time at scale. This saves clinical researchers valuable time.

Feature

Real Time

Our AI detects cough in real-time at scale. This saves clinical researchers valuable time.

Hyfe AI detects and tracks coughs in real time, when they happen, where they happen. Coughs get recorded on a dashboard where clinicians can analyze - and even listen to - these coughs along with their metadata. They can identify patterns and outliers and they can gather a level of i insight that has been unimaginable until now.


Our AI appends rich metadata and context to every cough providing researchers additional insights.

Feature

Rich Metadata

Our AI appends rich metadata and context to every cough providing researchers additional insights.

Coughing hides patterns and correlations that are now revealed to clinical researchers. Location, timestamp, frequency throughout the day, as well as other metadata are continuously recorded and processed. This gives researchers an unprecedented level of fidelity into clinical trial data and allows them to identify and isolate additional variables.

Hyfe runs on any Android phone, making it easy to deploy and scale.

Feature

Cost Effective

Hyfe runs on any Android phone, making it easy to deploy and scale.

Hyfe AI runs on any android device and requires no additional infrastructure. It can be installed and controlled remotely.

Researchers get access to sophisticated dashboards that allow them to structure and run clinical trials at any scale using a regular computer.

Researchers have access to custom dashboards that allow fast, precise data analysis and rapid identification of outliers.

Feature

Powerful Analytics

Researchers have access to custom dashboards that allow fast, precise data analysis and rapid identification of outliers.

Hyfe AI records objective clinical data along with rich metadata for every participant and cohort. Researchers are provided with powerful dashboards and analytical tools that deliver data-driven insights continuously.

Fast onboarding, automated monitoring. Participants no longer need to be in close proximity to the study hub.

Feature

Designed for Remote & Virtual

Fast onboarding, automated monitoring. Participants no longer need to be in close proximity to the study hub.

Hyfe AI has been design to run on simple android devices. This allows it to be deployed remotely at any scale and at any level of remoteness.

Our powerful AI detects and records every cough. Cough is now objective, reliable clinical data.

Our powerful AI detects and records every cough. Cough is now objective, reliable clinical data.

Our AI detects cough in real-time at scale. This saves clinical researchers valuable time.

Our AI detects cough in real-time at scale. This saves clinical researchers valuable time.

Our AI appends rich metadata and context to every cough providing researchers additional insights.

Our AI appends rich metadata and context to every cough providing researchers additional insights.

Hyfe runs on any Android phone, making it easy to deploy and scale.

Hyfe runs on any Android phone, making it easy to deploy and scale.

Researchers have access to custom dashboards that allow fast, precise data analysis and rapid identification of outliers.

Researchers have access to custom dashboards that allow fast, precise data analysis and rapid identification of outliers.

Fast onboarding, automated monitoring. Participants no longer need to be in close proximity to the study hub.

Fast onboarding, automated monitoring. Participants no longer need to be in close proximity to the study hub.

Testimonials

Simon Grandjean Lapierre

Infectious diseases physician, molecular biologist, innovator, TB researcher and advocate. Assistant professor @CRCHUM.
“Cough is a hallmark symptom of tuberculosis, triggering a patients’ entry in TB screening programs and cascade of care. For the first time, we can objectively detect, monitor and classify cough sounds and learn how to use of this data rich symptom to its full potential.’”

Peter M. Small, M.D

Professor, Department of Medicine/ Renaissance School of Medicine at SUNY, Stony Brook
“Patients seek care very late in the disease and part of that is because we, as a society, tend to ignore coughing in adults. Acoustic AI as pioneered by Hyfe is changing all of that”

Carlos Chaccour, MD Internist MSc PhD

Assistant research professor
ISGlobal Barcelona Institute for Global Health - Campus Clinic
Hospital Clínic - Universitat de Barcelona
"If they don't call you crazy at the beginning then it is not innovative enough. Hyfe is CRAZY in all caps. That's why it will forever change the way we do epidemiology and patient care"

Simon Grandjean Lapierre

Infectious diseases physician, molecular biologist, innovator, TB researcher and advocate. Assistant professor @CRCHUM.
“Cough is a hallmark symptom of tuberculosis, triggering a patients’ entry in TB screening programs and cascade of care. For the first time, we can objectively detect, monitor and classify cough sounds and learn how to use of this data rich symptom to its full potential.’”

Peter M. Small, M.D

Professor, Department of Medicine/ Renaissance School of Medicine at SUNY, Stony Brook
“Patients seek care very late in the disease and part of that is because we, as a society, tend to ignore coughing in adults. Acoustic AI as pioneered by Hyfe is changing all of that”

Carlos Chaccour, MD Internist MSc PhD

Assistant research professor
ISGlobal Barcelona Institute for Global Health - Campus Clinic
Hospital Clínic - Universitat de Barcelona
"If they don't call you crazy at the beginning then it is not innovative enough. Hyfe is CRAZY in all caps. That's why it will forever change the way we do epidemiology and patient care"
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