News
About Us
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.
AutoAI-Pandemics seeks to provide the following solutions:
- Automated epidemiologic analysis to detect possible epidemic scenarios and corresponding optimal intervention policies;
- Automated bioinformatics analysis, e.g., drug discovery or pathogen genome mining;
- Fighting misinformation/disinformation to assist in the search for reliable sources.
Our Solutions
Some studies and solutions are available.
BioAutoML
Democratizing Machine Learning in Life Sciences - Automated Feature Engineering and Metalearning for Classification of Biological Sequences.
Read more Access solutionBioPrediction
Democratizing Machine Learning in the Study of Molecular Interactions
Read more Access solutionMathFeature
Feature Extraction Package for Biological Sequences Based on Mathematical Descriptors.
Read more Access solutionITT- Is That True?
Fake 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 solutionBioPrediction-RPI
Democratizing the Prediction of Interaction Between Non-Coding RNA and Protein with End-to-End Machine Learning.
Read more Access solution
Accesses have been achieved by our solutions and articles
Stars on GitHub have been awarded to our solutions
Citations in academic papers have been earned by our studies
Awards have been earned by our projects
Our Projects
Projects with the Community
Other Solutions
Projects Under Our Umbrella
Awards
Recognitions and Awards
Conic-Semesp
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.
Artificial Intelligence Prize
Project to empower researchers in life sciences wins J.F. Marar Artificial Intelligence Prize for Undergraduate Studies
See more: [Link-1]
Falling Walls Lab Brasil 2023
Two projects connected to AutoAI-Pandemias are among the 15 finalists of Falling Walls Lab Brasil 2023.
See more: [Link-1]
Our Team
André de Carvalho
Robson Bonidia
Claudio Struchiner
Ulisses da Rocha
Guilherme Goedert
Peter Stadler
Danilo Sanches
Maria Emília Walter
Troy Day
Marcia Castro
John Edmunds
Anderson Santos
Breno de Almeida
Bruno Florentino
Natan Sanches
Denis Tavares
Recent News Posts
![[Link-3]](https://ai4pep.org/wp-content/uploads/2023/07/Projects-2048x1707.png){kind=link}
Frequently Asked Questions
Infectious diseases, transmitted directly or indirectly, are among the main causes of epidemics, or even pandemics. Despite recent achievements, there are several open challenges for predicting possible epidemics, detecting variants, contact tracing, discovering new drugs, and fighting misinformation. Artificial Intelligence (AI) can provide tools to deal with these scenarios, having shown effective results in fighting infectious diseases, e.g., the COVID-19 pandemic. Although AI creates new opportunities, its proper use requires advanced knowledge of computing, statistics, and mathematics, limiting their use by non-experts, e.g., biologists, physicians, and epidemiologists. Our objective is to develop an integrated and user-friendly platform that can be effectively employed by non-experts working with infectious diseases. This platform, named AutoAI-Pandemics, will provide robust solutions using Automated Machine Learning for (T1) epidemiologic analysis to detect possible epidemic scenarios and corresponding interventions to safely suppress disease spread with minimal social impact; (T2) bioinformatics analysis, helping life scientists with pathogen genome mining, and (T3) fighting misinformation to assist the search for reliable information sources. We will provide a platform to work on various critical stages of an epidemic/pandemic. AutoAI-Pandemics can be used by policymakers and other stakeholders, healthcare professionals, pharmaceutical industries, genomic surveillance organizations, and for combating disinformation. AutoAI-Pandemics will comply with what is expected by responsible AI solutions, which include fairness, privacy protection, sustainability, and no form of prejudice. Finally, to deal with the complex aspects of this project, we assembled an interdisciplinary team of researchers with expertise in computer science, AI, bioinformatics, and infectious diseases epidemiology.
(1) Early detection of emerging and re-emerging infectious diseases;
(2) Early warning systems for emerging and re-emerging infectious diseases;
(3) Early response to emerging and re-emerging infectious diseases;
(4) Mitigation and control of developing epidemics/pandemics.
(T1) Automated epidemiologic analysis to detect possible epidemic scenarios and corresponding optimal intervention policies;
(T2) Automated bioinformatics analysis, e.g., drug discovery or pathogen genome mining;
(T3) Fighting misinformation/disinformation to assist in the search for reliable sources.
(1) Assist non-specialist researchers in using ML for analysis, study, and control of epidemics and pandemics;
(2) Assist in challenging problems such as drug resistance, treatment of infectious diseases, epidemiologic analysis, bioinformatics analysis, and combat misinformation;
(3) To develop public APIs/packages for the scientific community in each proposed topic;
(4) To develop a user-friendly platform that can be effectively applied by non-experts working with infectious diseases.
(1) Data dashboard and Portals;
(2) Web-Based Application;
(3) Peer-Reviewed Articles;
(4) Online Searchable Repository;
(5) Computational Tools.
(1) Researchers and healthcare workers;
(2) Pharmaceutical industry and genomic organizations;
(3) Policymakers and other stakeholders;
(4) International organizations, e.g., WHO and PAHO;
(5) Ministry of health, state health departments.
Contact
Location:
Universidade de São Paulo - Av. Trab. São Carlense, 400 - Centro, São Carlos - SP, 13566-590, Brazil
Call:
+55 16 3373-9700
Open Hours:
Mon-Fri: 08AM - 23PM