Use cases

Our AI factory creates and validates high-quality AI models for image analysis with a fast and standardized protocol. 

We help you create your AI algorithm based either on your data or new images acquired with our devices. Full solutions can be deployed in our easy-to-use web and smartphones (edge-AI) or you can deploy the AI models in your own infrastructure. Full solutions can be deployed in our easy-to-use web and smartphones (edge-AI) or you can deploy the AI models in your own infrastructure.

Differential cell count in bone marrow aspirates

Hematology

AI model for cell line counting in bone marrow aspirate samples in collaboration with Hospital 12 de Octubre (Spain).

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Detection and quantification of filariae

Parasitology

Classification of 4 filarial species (Loa loa, Brugia malayi, Wuchereria bancrofti, Mansonella perstans) in blood samples with an AI model developed in collaboration with Instituto de Salud Carlos III (Spain).

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Detection and quantification of geohelminths

Neglected Tropical Diseases

AI model for the identification and quantification of helminth eggs (Trichuris trichiura, Ascaris lumbricoidesand hookworms)  in stool samples together with Kenya Medical Research Institute (Kenya).

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Detection of malaria parasites

Infectious diseases

AI model for detecting and quantifying malaria parasites in blood samples in collaboration with the Instituto de Salud Carlos III (Spain).

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Chagas disease

Neglected Tropical Diseases

AI model for the detection of Trypanosoma cruziparasites in blood with the Universidad Mayor de San Simón (Bolivia) and the Instituto de Salud Carlos III (Spain).

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Quantification of Leishmania parasites

Microbiology

Detection and quantification of cutaneous leishmaniasis parasites in blood samples in collaboration with the Universidad Mayor de San Simón (Bolivia). 

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Cerebrospinal fluid cell counts

Infectious diseases

AI model for cell counting and differentiation in cerebrospinal fluid samples from patients with suspected meningitis, in collaboration with the Rabat Children’s Hospital (Morocco).

Quality control for visceral leishmaniasis

Neglected tropical diseases

Implementation of digital microscopy quality control for the diagnosis of visceral leishmaniasis. Development of an AI model for rapid and accurate diagnosis of visceral leishmaniasis.

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Detection of Onchocerca volvulus

Infectious diseases

Scanning of subcutaneous nodule samples for detecting Onchocerca volvulus.

Quantification of filariae

Parasitology

Quantification of microfilariae in blood samples using an AI model together with the Instituto de Salud Carlos III (Spain).

Quantification and subtyping of lung lesions

COVID-19

Identification, quantification and characterisation of different COVID-19 lesion patterns in CT images. 

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RDT Universal reader

Several diseases 

An algorithm capable of interpreting the result of any rapid test up to 3 bands. This algorithm has been tested in several pathologies including COVID-19, Chagas and Cryptococcosis. This model has been tested for several pathologies including: COVID-19, Chagas disease and Cryptococcosis.

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Quantification of Cryptococcus

Micology

Quantitative reading of a qualitative LFA for the detection of cryptococcal antigen. This algorithm correlates band intensity with antigen concentration.

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Semicuantitative reading of cryptococcus antigen test

Micology

This algorithm automates and standardizes the reading of a semiquantitative cryptococcosis LFA by correlating the intensity of its bands.

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Automatic reading of COVID-19 rapid tests

COVID-19

AI model for reading COVID-19 antigen and antibody tests. 

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