Breast Cancer Detection
Breast Cancer Detection
Breast Cancer Detection
Two-tier, affordable screening that blends conversational AI risk assessment with AI-assisted mammography to find breast cancer earlier at scale in India.
Two-tier, affordable screening that blends conversational AI risk assessment with AI-assisted mammography to find breast cancer earlier at scale in India.
Two-tier, affordable screening that blends conversational AI risk assessment with AI-assisted mammography to find breast cancer earlier at scale in India.
Overview
Overview
Overview
Breast cancer remains one of India’s most critical health challenges, with nearly 2 lakh new cases diagnosed every year, accounting for 30% of all cancer cases in the country. Alarmingly, its incidence has risen by 46% over the past two decades. Despite this growing burden, India continues to rely heavily on Clinical Breast Examination (CBE) for screening, as access to imaging technologies and trained radiologists, particularly in Tier-2/3 cities and rural regions, remains limited. This dependence often leads to delayed detection and poorer outcomes for patients.
Breast cancer remains one of India’s most critical health challenges, with nearly 2 lakh new cases diagnosed every year, accounting for 30% of all cancer cases in the country. Alarmingly, its incidence has risen by 46% over the past two decades. Despite this growing burden, India continues to rely heavily on Clinical Breast Examination (CBE) for screening, as access to imaging technologies and trained radiologists, particularly in Tier-2/3 cities and rural regions, remains limited. This dependence often leads to delayed detection and poorer outcomes for patients.
Breast cancer remains one of India’s most critical health challenges, with nearly 2 lakh new cases diagnosed every year, accounting for 30% of all cancer cases in the country. Alarmingly, its incidence has risen by 46% over the past two decades. Despite this growing burden, India continues to rely heavily on Clinical Breast Examination (CBE) for screening, as access to imaging technologies and trained radiologists, particularly in Tier-2/3 cities and rural regions, remains limited. This dependence often leads to delayed detection and poorer outcomes for patients.
Goals
Goals
Goals
Develop and validate a two-stage screening framework consisting of:
Develop and validate a two-stage screening framework consisting of:
Develop and validate a two-stage screening framework consisting of:
AI for breast cancer risk screening
deep-learning mammography analysis
AI for breast cancer risk screening
deep-learning mammography analysis
AI for breast cancer risk screening
deep-learning mammography analysis
Deploy an edge-friendly, multilingual, low-touch workflow that integrates seamlessly into public health systems and remains cost-effective compared to existing methods.
Deploy an edge-friendly, multilingual, low-touch workflow that integrates seamlessly into public health systems and remains cost-effective compared to existing methods.
Deploy an edge-friendly, multilingual, low-touch workflow that integrates seamlessly into public health systems and remains cost-effective compared to existing methods.
Target women aged 30 to 65 to improve early detection and advance screening equity.
Target women aged 30 to 65 to improve early detection and advance screening equity.
Target women aged 30 to 65 to improve early detection and advance screening equity.
Team & Collaborators
Team & Collaborators
Team & Collaborators
Principal Investigator
Principal Investigator
Principal Investigator
Phaneendra K. Yalavarthy
Phaneendra K. Yalavarthy
Phaneendra K. Yalavarthy
Professor
Department of Computational and Data Sciences, IISc
Personal website
Professor
Department of Computational and Data Sciences, IISc
Personal website
Professor
Department of Computational and Data Sciences, IISc
Personal website
Co-Principal Investigator
Co-Principal Investigator
Co-Principal Investigator
Krithika Rangarajan
Krithika Rangarajan
Krithika Rangarajan
Associate Professor
AIIMS, New Delhi
Associate Professor
AIIMS, New Delhi
Associate Professor
AIIMS, New Delhi
Team
Team
Team
Ashwin RaajKumar
Ashwin RaajKumar
Ashwin RaajKumar
Program Manager
Program Manager
Program Manager
Saurabh Sharma
Saurabh Sharma
Saurabh Sharma
Research Staff Member
Research Staff Member
Research Staff Member
Savani Kulkarni
Savani Kulkarni
Savani Kulkarni
Technical Staff Member
Technical Staff Member
Technical Staff Member
Disha Krishna Murthy
Disha Krishna Murthy
Disha Krishna Murthy
Technical Staff Member
Technical Staff Member
Technical Staff Member
Nidhi Sharma
Nidhi Sharma
Nidhi Sharma
Student Intern, IISc
Student Intern, IISc
Student Intern, IISc
Venkata Ganesh Sirela
Venkata Ganesh Sirela
Venkata Ganesh Sirela
Intern
Intern
Intern
Venkata Sai Manideep Nanepalli
Venkata Sai Manideep Nanepalli
Venkata Sai Manideep Nanepalli
Intern
Intern
Intern
Bharath Kumar Tangella
Bharath Kumar Tangella
Bharath Kumar Tangella
Intern
Intern
Intern
Get Involved
Get Involved
Get Involved
Glad to hear from potential partners, researchers, and collaborators.
Glad to hear from potential partners, researchers, and collaborators.
Glad to hear from potential partners, researchers, and collaborators.
Contact us at breastcancerdetection@tanuh.ai
Contact us at breastcancerdetection@tanuh.ai
Contact us at breastcancerdetection@tanuh.ai
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
info@tanuh.ai
Solutions
2025 by TANUH
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
info@tanuh.ai
Solutions
2025 by TANUH
The AI Centre of Excellence in Healthcare
AI Centre of Excellence in Healthcare
Indian Institute of Science
Seventh Floor, TCS Smart-X Hub
Bengaluru, India - 560 012
info@tanuh.ai
Solutions
2025 by TANUH