AI Services
Our compliant AI factory to offer custom solutions to biopharma companies and research centers.
Predictive Models for Adverse Events in Oncology Treatments
ONCOLOGY
AI models for the prediction of adverse side effects in oncology treatments, using pre-treatment clinical and analytical variables, developed with the support of a top-10 global pharmaceutical company
Multiplex disease diagnosis at the point of care
NEGLECTED TROPICAL DISEASES
MultiplexAI upgrades any optical microscope into an autonomous AI copilot that detects and differentiates multiple parasites and blood cell types in real-time.
Predictive models for rare and life-threatening diseases
HEMATOLOGY
Development of predictive models for early diagnostics of rare diseases (PTT), using multiple clinical data sources and developed in collaboration with Hospital Clinico San Carlos
Predictive models for leukemia
HEMATOLOGY
Development of predictive models to support treatment response in acute myeloid leukemia (AML), using multiple data sources and developed in collaboration with Hospital 12 de Octubre.
Myelodysplastic syndromes Diagnostic and Prognostic Algorithms
HEMATOLOGY
Development of AI models to aid in the diagnosis and prognosis of myelodysplastic syndromes (MDS), in collaboration with Hospital Clínico San Carlos.
Characterization of hematopoietic disorders of the erythroid lineage
HEMATOLOGY
AI-powered support for the characterization of terminal erythroid differentiation (TED) through analysis of bone marrow microscopy images, in collaboration with Hospital Vall d’Hebron.
Edge Artificial Intelligence (AI) for real-time automatic quantification of filariasis in mobile microscopy
NEGLECTED TROPICAL DISEASES
AI model to assist in the real-time detection and differentiation of microfilariae species in blood samples using a smartphone, developed in collaboration with the Instituto de Salud Carlos III (Spain).
Digital tools to support the development of a new oral treatment for visceral leishmaniasis
NEGLECTED TROPICAL DISEASES
Digital microscopy quality control and AI models for diagnostic support and quantification of visceral leishmaniasis, in collaboration with DNDi, FIND, the Kenya Medical Research Institute (Kenya), the University of Gondar (Ethiopia), and the Instituto de Salud Carlos III (Spain).
Florence: An intelligent assistant to support clinical decision making in the point-of-care
An intelligent assistant for screening and diagnostic support on smartphones, powered by large language models (LLMs) and multimodal edge AI. Supported by the Gates Foundation.
Ada: an AI assistant to help hematologists.
Hematology
An intelligent assistant integrated into our case management platform to support hematologists
Diagnosis and quantification of filariae
NEGLECTED TROPICAL DISEASES / Parasitology
AI system for real-time detection and classification support of filarial species in blood samples with limited connectivity. Developed in collaboration with the Instituto de Salud Carlos III (Spain).
Detection and quantification of geohelminths
NEGLECTED TROPICAL DISEASES
AI model to assist in the identification and quantification of helminth eggs (Trichuris trichiura, Ascaris lumbricoides, and hookworms) in stool samples, developed in collaboration with the Kenya Medical Research Institute (Kenya).
Cerebrospinal fluid cell counts for meningitis in newborns
Infectious diseases
AI model to aid in cell counting and differentiation in cerebrospinal fluid samples from patients with suspected meningitis, developed in collaboration with Rabat Children’s Hospital (Morocco), the Manhiça Health Research Centre (Mozambique), ISGlobal, and Newborn Solutions.
Quantification of schistosomiasis
Infectious diseases
AI model to assist specialists in the automatic quantification of parasite eggs in stool or urine samples, developed in collaboration with the University of California, Berkeley, and the Gates Foundation.
Digital tools to support clinical routine and decision making in hematology departments
HEMATOLOGY
Innovation program for the digitization and analysis of bone marrow samples within the hematology departments of more than 10 Spanish hospitals, in collaboration with GSK.
Quantification and subtyping of lung lesions
COVID–19
Support for the identification, quantification, and characterization of different COVID-19 lesion patterns in CT images, in collaboration with Hospital Clínic de Barcelona, Clínica Universidad de Navarra, Hospital La Paz, and Fundación Jiménez Díaz (Spain).
Detection of Onchocerca volvulus
INFECTIOUS Diseases
Scanning assistance for subcutaneous nodule samples to detect Onchocerca volvulus, in collaboration with Korle-Bu Teaching Hospital (Ghana).
Blood parasite detection
INFECTIOUS DISEASES
AI model to aid specialists in the detection and quantification of parasites in blood samples, including those related to malaria, Chagas disease, leishmaniasis, and filariasis. Developed in collaboration with Universidad Mayor de San Simón (Bolivia), Oswaldo Cruz Foundation – Fiocruz (Brazil), Institute for Medical Research (IMR, Malaysia), Fundación Mundo Sano (Argentina), and Instituto de Salud Carlos III (Spain).
RetiSpot: fundus digitalization
ophthalmology
Portable, 3D-printed, smartphone-controlled retinograph connected to a telemedicine web platform for screening fundus lesions, developed in collaboration with the Centro de Investigación en Saúde de Manhiça (Mozambique), Institut Català de Retina, ISGlobal, and the Universidad Politécnica de Madrid (UPM, Spain).
TiraSpot: RDT universal reader
VARIOUS diseases
A universal AI algorithm capable of assisting in the interpretation of any rapid test with up to three bands, and sending the information to a monitoring platform
Epidemic monitoring platform for Covid RDT.
COVID-19
AI model and epidemiological platform to support the reading and recording of COVID-19 antigen and antibody tests, developed in collaboration with Hospital Ramón y Cajal (Spain).
Quantification of Cryptococcus
MICOLOGY
Algorithm capable of assisting in the quantification of LFA band intensity for both the reading of semi-quantitative cryptococcosis tests and their correlation with antigen concentration in qualitative tests, developed in collaboration with GAFFI (Switzerland), Asociación de Salud Integral (Guatemala), and Instituto de Salud Carlos III (Spain)
Digitization and quality control of rapid Chagas disease tests
Infectious diseases
Evaluation and comparison of the effectiveness of several LFAs for Chagas disease in endemic countries, with the aim of identifying the most accurate and reliable test in these regions and storing its results for quality control purposes. Conducted in collaboration with FIND (Argentina, Colombia, and Bolivia).
AI Workshops & Challenges
TRAINING
Our technology and methodology allow us to run AI workshops and diagnostic competitions for professional training and scientific dissemination. At the XII SEMTSI Congress, SpotLab organized a workshop on AI in microbiology and hosted the Tropical Medicine Challenge.