AT SPOTLAB WE HAVE BEEN FIGHTING AGAINST FORGOTTEN DISEASES FOR ALMOST A DECADE
The origins go back to the project MalariaSpot in 2012, that demonstrated the ability of video games, crowdsourcing and artificial intelligence as tools for diagnosing malaria.
We create simple, low-cost, innovative technology solutions applied to global health problems . Our team is a multidisciplinary orchestra with a common goal, to contribute to a better world.
You can play any of the games we previously released to SpotWarriors. They all have the same common goal: to generate artificial intelligence algorithms that contribute to access and cheaper medical diagnosis.
MalariaSpot
MalariaSpot players are “malaria hunters” who help diagnose this disease.
TuberSpot
Tuberculosis “hunters” continue to help diagnose tuberculosis worldwide.
MalariaSpotBubbles
With Bubbles “hunters of malaria” identify the different species of this disease.
Much more than games
AN ECOSYSTEM OF PORTABLE DEVICES, CONNECTED AND CONTROLLED WITH A SMARTPHONE TO ACQUIRE MEDICAL IMAGES
SpotLab harnesses the accessibility and power of mobile phones , the power of 3D printers to deliver custom, on-demand production, and the interpretive capabilities of artificial intelligence to make medical imaging more accessible.
SpotLab creates disruptive innovations that generate a positive social impact.
IMAGES
We upload new images to the games so that our SpotWarriors always have new samples in which to contribute to the diagnosis.
CLICKS
We collect all your clicks, together you work as a specialist and our Artificial Intelligence team gets down to work.
AI ALGORITHMS
With all those clicks Artificial Intelligence algorithms are created that will be able to detect diseases in real samples.
DIAGNOSIS
These algorithms streamline the work of specialists around the world, so a diagnosis can be faster and save more lives.
Scientific Publications
Gamers join real-life fight against malaria and tuberculosis, The Lancet Infectious Diseases , Volume 16 , Issue 4 , 418 – L. Albers
Crowdsourcing Malaria Parasite Quantification: An Online Game for Analyzing Images of Infected Thick Blood Smears , Journal of Medical Internet Research 2012;14(6):e167 – M. Luengo-Oroz, A. Arranz, J. Frean
Collaborative intelligence and gamification for on-line malaria species differentiation, Malaria Journal volume 18, Article number: 21 (2019), María Linares, María Postigo, Daniel Cuadrado, (+11)