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News
Democratizing Machine Learning for Analysis, Study, and Control of Epidemics and Pandemics
Our main objective is to develop an integrated and user-friendly platform, called AutoAI-Pandemics, democratizing access to data science and machine learning techniques by allowing non-experts to use them well, e.g., biologists, physicians, and epidemiologists.
Some studies and solutions are available.
Democratizing Machine Learning in Life Sciences - Automated Feature Engineering and Metalearning for Classification of Biological Sequences.
Read more Access solutionEmpowering Breakthroughs in Life Sciences with Automated Machine Learning - Launching soon!
Read more Access solutionFeature Extraction Package for Biological Sequences Based on Mathematical Descriptors.
Read more Access solutionDemocratizing Machine Learning in the Study of Molecular Interactions
Read more Access solutionFake News Detector (Google Chrome) - Portuguese or English: We consider it extremely important to emphasize that this version is not yet ready; it is only in the experimental phase.
Read more Access solutionDemocratizing the Prediction of Interaction Between Non-Coding RNA and Protein with End-to-End Machine Learning.
Read more Access solutionTotal number of people directly and indirectly impacted by our projects
Accesses have been achieved by our solutions and articles
Data science books sold to democratize the use of AI tools
Citations in academic papers have been earned by our studies
News published in national and international media
Awards have been earned by our projects
Projects with the Community
Recognitions and Awards
Our BioAutoML project received an honorable mention from the Young Bioinformatics Award 2024, being chosen among the best theses in Bioinformatics and Computational Biology in Brazil.
See more: [Link-1]
Our paper: "Information Theory for Biological Sequence Classification: A Novel Feature Extraction Technique Based on Tsallis Entropy." Recognized by the journal's Academic Editor as an exceptional contribution to the field, 2024.
See more: [Link-1]
ÁGUEDA Project (Artificial Intelligence for Early Detection of Breast Cancer), recognized as the best ongoing research project in the field of Exact and Earth Sciences in Brazil by Conic-Semesp, among more than 1,200 registered projects, 2023.
Project to empower researchers in life sciences wins J.F. Marar Artificial Intelligence Prize for Undergraduate Studies
See more: [Link-1]
Two projects connected to AutoAI-Pandemias are among the 15 finalists of Falling Walls Lab Brasil 2023.
See more: [Link-1]
About Our Projects (Click on the image to watch the video)
Universidade de São Paulo - Av. Trab. São Carlense, 400 - Centro, São Carlos - SP, 13566-590, Brazil
+55 16 3373-9700
Mon-Fri: 08AM - 23PM