It is an undisputed fact that DATA, and thereby EVIDENCE, is an essential pre-requisite for developing any kind of actionable clinical INSIGHT in medicine today. In fact, the world of machine learning and artificial intelligence relies entirely on the free availability of HIGH-QUALITY DATASETS. Unfortunately, as the world battles the COVID-19 pandemic right now, DATA ANALYTICS, MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE tools are not part of our armory simply due to lack of availability of base data. Hence, we have created Cov.Base — a repository of clinical data of COVID-19
This is a joint effort between CARING — the Centre for Advanced Research in Imaging, Neurosciences & Genomics and IGIB — the Institute for Genomics & Integrative Biology. Its backend is powered by CARPL – The CARING Analytics Platform.
If you are interested in getting your AI model evaluated from us, we request you to please read below instructions to share your model.
1. Kindly share zipped docker image or pull link of your docker from dockerhub. 2. Docker should be linux based and must contain all dependencies to run your model. 3. Docker should read data(images) sequentially from a repository and must generate a output CSV containing all the labels produced by your model. 4. If your model generates multiple image outputs like heatmap, pathology localization etc corresponding to a single input image,Then separate input and output folders should be created with the same name so that it can be correlated. 5. Make sure your program runs on entire data with below command docker run --network none -v input_data_path:/input -v output_data_path:/output docker_image_name 6. Kindly share a brief description of your model about input data for your model, model classes and input image format for your model.
After successful submission of above prerequisites, an empowered committee constituted by CSIR-IGIB will evaluate your model and share the evaluation results with you. Kindly note that we may have numerous requests for model evaluation, we will try to share results as soon as possible.However,we expect a minimum of 7 days to fulfill such requests.
In case you have any query or for detailed SOP please reach out at email@example.com
Dr. Anurag Agrawal is the lead researcher and visionary behind CovBase. One of india’s leading physician-scientists, he is the Director of CSIR’s Institute of Genomics & Integrative Biology.
Dr. Singh is the Head of Informatics, Systems & Research Management (ISRM) at the Indian Council of Medical Research. He and his team handle the back-end compute on which Cov.Base is run.
Dr. Pooja Sharma is the Senior Scientist at Medanta Hospitals and a Gynaecologist by training. She is a well-reknowned scientist in the field for more than 15 years.
Suthirth is the Co-Founder & CEO of Predible Health, one of India’s leading AI startups. He has volunteered to lead CovBase’s data collection effort.
Mahendra leads the Real World Insights Solutions at IQVIA South Asia. He is an expert in conducting registries, prospective observational studies and retrospective patient database studies. He has volunteered to drive Hospital Outreach at CovBase along with any other support required
Vasanth is a Radiologist and Lead for Imaging Research at CARING. He is leading Data Curation along with Vishu.
Vidur leads R&D at CARING. He has taken overall responsibility for executing CovBase.
Dr. Dash is Senior Principal Scientist in Informatics and Big Data at CSIR-IGIB. He and his team handle the back-end compute on which Cov.Base is run.
Rohit is part Software Engineer part Data Scientist at CARING. He is the singular force behind CARPL – the platform software that drive CovBase.
Salil is a Development Engineer at CARING and is Rohit’s partner in crime. He runs CARPL’s back-end integration and data collation.
Dr. Sigamani is the Group Head for Clinical Research at Narayana Health. He has volunteered to help CovBase with hospital outreach, clinical data aggregation and will also be coordinating the data collation effort at NH.
IIIT, New Delhi