Cipher

MicroFuse Technologies

A machine learning malarial retinopathy diagnostic tool, consisting of a 3D printed camera attachment and a mobile-powered application.

Snapshot
Manufacturing & delivery
Performance & use
Research & standards
Feedback

Product description Brand name and product description

Cipher is a malarial retinopathy diagnostic tool with manufacturing headquarters in Lagos, Nigeria. The product is designed and manufactured by MicroFuse Technologies and aims to diagnose the disease with at least 90% accuracy.

Target region(s) Target region for distribution/implementation (listed by country if specified)

The target region for this product is Sub-Saharan Africa.

Distributors/implementing organizations Organization(s) distributing/deploying this product directly to communities/individuals?"

The manufacturer distributes the product.

Market suggested retail price Price per unit or service price per usage/terms (USD). Subsidies noted.

150 USD

Competitive landscape Similar products available on the market. May not be a comprehensive listing.

None

SDG targeted United Nations Sustainable Development Goals (SDGs) targeted with this product/application/service

SDG 3: Good health and well-being

Target user(s) Target user/consumer base (country, income segment)

Hospitals and health clinics, as well as ministries of health in remote regions.

Manufacturing/building method(s) Detail regarding solution production or construction method (instructions, mass production capacity, custom made,etc...)

The hardware component for this product is manufactured in Lagos, Nigeria. The accompanying application is deployed and available for most smartphone operating systems.

Product Intellectual Property Open source/IP protected (note patent)/trade secret/other?

Registered Patent

User Provision Model Where can the product be purchased/acquired by end users?

Users can obtain the product directly from the manufacturer.

Distribution to date Number of units that have been deployed, downloads or users to date

As of 2020, there are 20 implementations of this product with a further 700 potential customers.

Fields marked are sourced values that have been evaluated by the manufacturer or a third party, all others are design specifications.

Telecommunication service required

Connectivity requirement for the product/service to work (mobile internet, SMS, voice, fixed internet, Wi-Fi, other [specify]).

Yes

Level of connection service needed

Coverage required for the product/service to work (2G, 3G, 4G, LTE, broadband, dial-up, other [specify]).

None

Additional features required

Device features required for the product/service to work (bluetooth, Wi-Fi, camera, IVR, GPS, accelerometers/motion sensors, physiologic biosensors, biometric identifiers, SIM, memory card (e.g microSD), other [specify]).

Diagnostic tool supported with recommended next steps.

Device(s) required

Device(s) type required for the product/service to work (smartphone, feature phone, computer, tablet, other [specify]).

Smart phone with camera capabilities

Permanent network connectivity required (Y/N)

Connectivity requirement for the product/service to work. Some apps/services can work offline. If no, specify if network connectivity is needed at any point (e.g connectivity needed for download).

Yes

Two way communication (Y/N)

Is the product/service able to receive and send back information to the user?

Yes

Usage rate (%)

Rates of user vs downloads/subscriptions – Compliance rate for the eHealth service

Unknown

Literacy support (Y/N)

Support according to the literacy level required from the user. If yes, specify type of literacy support. If no, the user is intended to be literate.

Yes

Languages available

Unknown

Operating system and version

Operating system required and software version (Android, IOs, Windows, other [specify])

AI system built using DarkNet YOLO Machine Learning Algorithm for Deep Learning

Power requirements

Power supply required for the product/service to work (uninterrupted prower supply (UPS), ocassional power supply [minimum time required], other).

Unknown

eHealth application

Education and behavior change, human resource management, decision support, data collection & analytics, electronic medical records, Healthcare provider- CHW training, telemedicine/remote diagnostic, stock management, disease surveillance and reporting

Telemedicine and health monitoring

Design specifications Component and Operation overview including power, portability, facility requirements, preventative maintenance and user training requirements

Cipher is a mobile application with data input through images captured through smartphone camera devices with a provided camera attachment. The images are processed through the artificial intelligence system built using the DarkNet YOLO Machine Learning Algorithm for Deep Learning, to determine the diagnosis of malarial retinopathy. The mobile application provides diagnosis and recommended next steps for the patient.

Product schematics Design and assembly illustrations

Technical support Technical support provided by

Technical support is provided in the user manual, with further support available by contacting the manufacturer.

Replacement components Availability of replacement components (in-country, by order,...)

Replacement components for the camera attachment are available from the manufacturer.

Lifecycle Disposal and warranty

Unknown

Manufacturer specified performance targets Designer / Manufacturer specified targets

The manufacturer quotes the following performance targets: level of accuracy (<90%), efficiency, speed of diagnosis, ease of use, non-invasive.

Vetted performance Findings of manufacturer evaluations or independent testing centers

Unknown

Testing organizations Independent lab, academic research centers, etc.

As of 2020, the product is undergoing clinical trials at 4 University Teaching Hospitals in Nigeria.

Safety Potential hazards / risks related to operation of this product

No known safety hazards related to this product.

Complementary technical systems Performance of this product is improved with another technology (eg. Cookstoves and Wind-blocking skirts)

The mobile application provides diagnosis as well as the next steps following results.

Academic research Academic research related to the product (e.g. published papers in peer-reviewed journals)

None

Compliance with regulations Product certifications and standards referenced by designer/manufacturer

Standards ISO13485:1996, ISO13488:1996, ISO 14971

Evaluation methods Evaluation methods/protocols/guidelines referenced by designer or manufacturer.

The product is evaluated for 90% accuracy for diagnosis as an evaluation. The manufacturer also cites non-invasive and speed, of diagnosis as evaluation criteria.

Other information

Cipher was a product entered in the ASME iSHOW Kenya 2020.

In context photographs (0)

You can use the form below to contribute a photo of this product.

In context files & documents (0)

Feedback from users, customers & distributors

Please let us know your experience in using this product through comments below.

Snapshot

Product description Brand name and product description

Target region(s) Target region for distribution/implementation (listed by country if specified)

The target region for this product is Sub-Saharan Africa.

Distributors/implementing organizations Organization(s) distributing/deploying this product directly to communities/individuals?"

The manufacturer distributes the product.

Market suggested retail price Price per unit or service price per usage/terms (USD). Subsidies noted.

150 USD

Competitive landscape Similar products available on the market. May not be a comprehensive listing.

None

SDG targeted United Nations Sustainable Development Goals (SDGs) targeted with this product/application/service

SDG 3: Good health and well-being

Target user(s) Target user/consumer base (country, income segment)

Hospitals and health clinics, as well as ministries of health in remote regions.

Manufacturing & delivery

Manufacturing/building method(s) Detail regarding solution production or construction method (instructions, mass production capacity, custom made,etc...)

The hardware component for this product is manufactured in Lagos, Nigeria. The accompanying application is deployed and available for most smartphone operating systems.

Product Intellectual Property Open source/IP protected (note patent)/trade secret/other?

Registered Patent

User Provision Model Where can the product be purchased/acquired by end users?

Users can obtain the product directly from the manufacturer.

Distribution to date Number of units that have been deployed, downloads or users to date

As of 2020, there are 20 implementations of this product with a further 700 potential customers.

Performance & use

Fields marked are sourced values that have been evaluated by the manufacturer or a third party, all others are design specifications.

Telecommunication service required

Connectivity requirement for the product/service to work (mobile internet, SMS, voice, fixed internet, Wi-Fi, other [specify]).

Yes

Level of connection service needed

Coverage required for the product/service to work (2G, 3G, 4G, LTE, broadband, dial-up, other [specify]).

None

Additional features required

Diagnostic tool supported with recommended next steps.

Device(s) required

Device(s) type required for the product/service to work (smartphone, feature phone, computer, tablet, other [specify]).

Smart phone with camera capabilities

Permanent network connectivity required (Y/N)

Connectivity requirement for the product/service to work. Some apps/services can work offline. If no, specify if network connectivity is needed at any point (e.g connectivity needed for download).

Yes

Two way communication (Y/N)

Is the product/service able to receive and send back information to the user?

Yes

Usage rate (%)

Rates of user vs downloads/subscriptions – Compliance rate for the eHealth service

Unknown

Literacy support (Y/N)

Support according to the literacy level required from the user. If yes, specify type of literacy support. If no, the user is intended to be literate.

Yes

Languages available

Unknown

Operating system and version

Operating system required and software version (Android, IOs, Windows, other [specify])

AI system built using DarkNet YOLO Machine Learning Algorithm for Deep Learning

Power requirements

Power supply required for the product/service to work (uninterrupted prower supply (UPS), ocassional power supply [minimum time required], other).

Unknown

eHealth application

Telemedicine and health monitoring

Design specifications Component and Operation overview including power, portability, facility requirements, preventative maintenance and user training requirements

Product schematics Design and assembly illustrations

Technical support Technical support provided by

Technical support is provided in the user manual, with further support available by contacting the manufacturer.

Replacement components Availability of replacement components (in-country, by order,...)

Replacement components for the camera attachment are available from the manufacturer.

Lifecycle Disposal and warranty

Unknown

Manufacturer specified performance targets Designer / Manufacturer specified targets

The manufacturer quotes the following performance targets: level of accuracy (<90%), efficiency, speed of diagnosis, ease of use, non-invasive.

Vetted performance Findings of manufacturer evaluations or independent testing centers

Unknown

Testing organizations Independent lab, academic research centers, etc.

As of 2020, the product is undergoing clinical trials at 4 University Teaching Hospitals in Nigeria.

Safety Potential hazards / risks related to operation of this product

No known safety hazards related to this product.

Complementary technical systems Performance of this product is improved with another technology (eg. Cookstoves and Wind-blocking skirts)

The mobile application provides diagnosis as well as the next steps following results.

Research & standards

Academic research Academic research related to the product (e.g. published papers in peer-reviewed journals)

None

Compliance with regulations Product certifications and standards referenced by designer/manufacturer

Standards ISO13485:1996, ISO13488:1996, ISO 14971

Evaluation methods Evaluation methods/protocols/guidelines referenced by designer or manufacturer.

The product is evaluated for 90% accuracy for diagnosis as an evaluation. The manufacturer also cites non-invasive and speed, of diagnosis as evaluation criteria.

Other information

Cipher was a product entered in the ASME iSHOW Kenya 2020.

Feedback

In context photographs (0)

You can use the form below to contribute a photo of this product.

In context files & documents (0)

Feedback from users, customers & distributors

Please let us know your experience in using this product through comments below.

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In context photographs (0)

In context files & documents (0)

Feedback from users, customers & distributors