KCDH Projects

  • KCDH Sponsored Projects
  • Student TA Projects
  • Healthcare Applications
  • Healthcare Data Management
  • Healthcare Analytics and AI/ML
  • Consumer Health & Tele-medicine
  • Computational Biology & Bioinformatics
  • Population Health & Public Health Policy
A Machine learning based approach to identify proteomic networks and biomarkers driving Triple Negative Breast Cancer
  • KCDH Faculty: Prof. Sanjeeva Srivastava, Bioscience and Bioengineering
  • KCDH Partner: Prof. Sudeep Gupta, Department of Medical Oncology, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Mumbai
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A novel Artificial Intelligence-based prognostic approach using PET-CT images and pathology images for advanced-stage Hodgkin Lymphoma
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An NMR-AI based Hybrid Approach for Modelling the Progression of Type 2 Diabetes Mellitus
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Assessing Quality of Cancer Care in India using Electronic Medical Records: A Pilot Study
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Data Science Algorithms for Radiation Reduction in Computed Tomography
  • KCDH Faculty: Prof. Ajit Rajwade, Computer Science Engineering
  • KCDH Partner:
    • Dr. Nitin Shetty, Associate Professor, Department of Interventional Radiology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
    • Mr. Nag Nath, Radiation Safety Officer (Scientific Assistant D), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
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Designing predictive model for Childhood Congenital Glaucoma using Clinical and Genetic data
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Discovery of novel biomarkers for the prediabetic stage with untargeted metabolomics and AI/ML guided data analysis.
Read More
Harmonized One-health Trans-Species Transmission of Antibiotics Resistance and levers for action using System Dynamics Modelling (HOTSTAR-SDM)
Read More
HMIS Analyzer: Visualization Dashboard for Health data
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Implementation of an alert system for early diagnosis of Acute Kidney Injury
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To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
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Use of Wearable sensors and Pranayama-based interventions for improving mental-wellbeing of Undergraduate Students at IITB
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Addressing Class Imbalance in Medical Image Data: Finding Needle in a Haystack
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Advancing causal inference methods in health economics and health services research
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Automated feature selection for biomarker discovery from big biological data
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Deep active learning for medical image classification
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Disparities in access to and utilization of healthcare services in India
Read More
Implementation of an alert system for early diagnosis of Acute Kidney Injury
Read More
Semi supervised learning in Medical image data
Read More
A Machine learning based approach to identify proteomic networks and biomarkers driving Triple Negative Breast Cancer
  • KCDH Faculty: Prof. Sanjeeva Srivastava, Bioscience and Bioengineering
  • KCDH Partner: Prof. Sudeep Gupta, Department of Medical Oncology, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Mumbai
Read More
An NMR-AI based Hybrid Approach for Modelling the Progression of Type 2 Diabetes Mellitus
Read More
Data Science Algorithms for Radiation Reduction in Computed Tomography
  • KCDH Faculty: Prof. Ajit Rajwade, Computer Science Engineering
  • KCDH Partner:
    • Dr. Nitin Shetty, Associate Professor, Department of Interventional Radiology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
    • Mr. Nag Nath, Radiation Safety Officer (Scientific Assistant D), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
Read More
Designing predictive model for Childhood Congenital Glaucoma using Clinical and Genetic data
Read More
Discovery of novel biomarkers for the prediabetic stage with untargeted metabolomics and AI/ML guided data analysis.
Read More
Implementation of Electronic Alert System for Acute Kidney Injury in Hospital Setting and Development of Web Based Tools for National Public Health Advisory in India.
  • KCDH Faculty: Prof. Siuli Mukhopadhyay, Department of Math
  • KCDH Partner: Dr. Barnali Das, Consultant, Biochemistry & Immunology Division, Laboratory Medicine, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
Use of Wearable sensors and Pranayama-based interventions for improving mental-wellbeing of Undergraduate Students at IITB
Read More
A novel Artificial Intelligence-based prognostic approach using PET-CT images and pathology images for advanced-stage Hodgkin Lymphoma
Read More
An NMR-AI based Hybrid Approach for Modelling the Progression of Type 2 Diabetes Mellitus
Read More
Assessing Quality of Cancer Care in India using Electronic Medical Records: A Pilot Study
Read More
Data Science Algorithms for Radiation Reduction in Computed Tomography
  • KCDH Faculty: Prof. Ajit Rajwade, Computer Science Engineering
  • KCDH Partner:
    • Dr. Nitin Shetty, Associate Professor, Department of Interventional Radiology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
    • Mr. Nag Nath, Radiation Safety Officer (Scientific Assistant D), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
Read More
Designing predictive model for Childhood Congenital Glaucoma using Clinical and Genetic data
Read More
Discovery of novel biomarkers for the prediabetic stage with untargeted metabolomics and AI/ML guided data analysis.
Read More
Harmonized One-health Trans-Species Transmission of Antibiotics Resistance and levers for action using System Dynamics Modelling (HOTSTAR-SDM)
Read More
HMIS Analyzer: Visualization Dashboard for Health data
Read More
Implementation of Electronic Alert System for Acute Kidney Injury in Hospital Setting and Development of Web Based Tools for National Public Health Advisory in India.
  • KCDH Faculty: Prof. Siuli Mukhopadhyay, Department of Math
  • KCDH Partner: Dr. Barnali Das, Consultant, Biochemistry & Immunology Division, Laboratory Medicine, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
Use of Wearable sensors and Pranayama-based interventions for improving mental-wellbeing of Undergraduate Students at IITB
Read More
A novel Artificial Intelligence-based prognostic approach using PET-CT images and pathology images for advanced-stage Hodgkin Lymphoma
Read More
Addressing Class Imbalance in Medical Image Data: Finding Needle in a Haystack
Read More
An NMR-AI based Hybrid Approach for Modelling the Progression of Type 2 Diabetes Mellitus
Read More
Assessing Quality of Cancer Care in India using Electronic Medical Records: A Pilot Study
Read More
Data Science Algorithms for Radiation Reduction in Computed Tomography
  • KCDH Faculty: Prof. Ajit Rajwade, Computer Science Engineering
  • KCDH Partner:
    • Dr. Nitin Shetty, Associate Professor, Department of Interventional Radiology, Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
    • Mr. Nag Nath, Radiation Safety Officer (Scientific Assistant D), Tata Memorial Centre, Homi Bhabha National Institute (HBNI), Mumbai
Read More
Deep active learning for medical image classification
Read More
Designing predictive model for Childhood Congenital Glaucoma using Clinical and Genetic data
Read More
Discovery of novel biomarkers for the prediabetic stage with untargeted metabolomics and AI/ML guided data analysis.
Read More
HMIS Analyzer: Visualization Dashboard for Health data
Read More
Implementation of an alert system for early diagnosis of Acute Kidney Injury
Read More
Implementation of Electronic Alert System for Acute Kidney Injury in Hospital Setting and Development of Web Based Tools for National Public Health Advisory in India.
  • KCDH Faculty: Prof. Siuli Mukhopadhyay, Department of Math
  • KCDH Partner: Dr. Barnali Das, Consultant, Biochemistry & Immunology Division, Laboratory Medicine, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
Semi supervised learning in Medical image data
Read More
To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
Use of Wearable sensors and Pranayama-based interventions for improving mental-wellbeing of Undergraduate Students at IITB
Read More
Implementation of Electronic Alert System for Acute Kidney Injury in Hospital Setting and Development of Web Based Tools for National Public Health Advisory in India.
  • KCDH Faculty: Prof. Siuli Mukhopadhyay, Department of Math
  • KCDH Partner: Dr. Barnali Das, Consultant, Biochemistry & Immunology Division, Laboratory Medicine, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
A Machine learning based approach to identify proteomic networks and biomarkers driving Triple Negative Breast Cancer
  • KCDH Faculty: Prof. Sanjeeva Srivastava, Bioscience and Bioengineering
  • KCDH Partner: Prof. Sudeep Gupta, Department of Medical Oncology, Advanced Centre for Treatment Research and Education in Cancer, Tata Memorial Centre, Mumbai
Read More
Automated feature selection for biomarker discovery from big biological data
Read More
Discovery of novel biomarkers for the prediabetic stage with untargeted metabolomics and AI/ML guided data analysis.
Read More
To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More
Advancing causal inference methods in health economics and health services research
Read More
Assessing Quality of Cancer Care in India using Electronic Medical Records: A Pilot Study
Read More
Disparities in access to and utilization of healthcare services in India
Read More
Harmonized One-health Trans-Species Transmission of Antibiotics Resistance and levers for action using System Dynamics Modelling (HOTSTAR-SDM)
Read More
HMIS Analyzer: Visualization Dashboard for Health data
Read More
To develop Machine learning-based models and web-based tools to predict the mild, moderate and severe cases of Covid 19 based on routine laboratory biomarkers.
  • KCDH Faculty: Prof. Biplab Banerjee, Centre of Studies in Resources Engineering (CSRE) & Centre for Machine Intelligence and Data Science (C-MInDS)
  • KCDH Partner: Dr. Barnali Das, Biochemistry & Immunology Division, Kokilaben Dhirubhai Ambani hospital & Medical Research Institute.
Read More