AI Factory Portfolio

Our AI factory creates and validates high quality AI models for image analysis with a fast and standardized protocol. We help you to create your algorithm based either on your own 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. 

Differential cell count in bone marrow aspirates

Hematology

AI model to support differential cell count in bone marrow aspirate samples developed 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 human 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 identification and quantification of helminth eggs (Trichuris trichiura, Ascaris lumbricoides and hookworm) in stool samples in collaboration with Kenya Medical Research Institute (Kenya).

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Detection of malaria parasites

Infectious diseases

AI model for the detection and quantification of malaria parasites in blood samples at the Instituto de Salud Carlos III (Spain).

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Chagas disease

Neglected Tropical Diseases

AI model for detection of Trypanosoma cruzi parasites in blood samples 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 parasites of cutaneous leishmaniasis in blood in collaboration with the Universidad Mayor de San Simón (Bolivia). 

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Quantification of filariae

Parasitology

Automatic detection and quantification of microfilariae in blood samples at the Instituto de Salud Carlos III (Spain).

Quantification and subtyping of lung lesions

COVID19

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

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RDT Universal reader

Several diseases 

Algorithm capable of interpreting the result of any rapid test up to 3 bands. It has been tested in several pathologies including: COVID-19, Chagas 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

OVID-10 antigen and  

AI model capable of reading COVID-19 antigen and antibody rapid tests.  

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If you want more information or have any questions about our products and services, write to us!