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.

Risk Predictors

Risk Predictors

Risk Predictors

Age, family and maternal history, along with menstrual and reproductive patterns, influence lifetime hormone exposure and inherited risk, affecting a person’s likelihood of developing breast cancer.
Ethnicity further shapes this risk profile, with some population groups experiencing higher incidence or more aggressive disease types.

Age, family and maternal history, along with menstrual and reproductive patterns, influence lifetime hormone exposure and inherited risk, affecting a person’s likelihood of developing breast cancer.
Ethnicity further shapes this risk profile, with some population groups experiencing higher incidence or more aggressive disease types.

Age, family and maternal history, along with menstrual and reproductive patterns, influence lifetime hormone exposure and inherited risk, affecting a person’s likelihood of developing breast cancer.
Ethnicity further shapes this risk profile, with some population groups experiencing higher incidence or more aggressive disease types.

Solution

Solution

Solution

Data Collection Flow

Data Collection Flow

Data Collection Flow

We received ethics committee approval in January 2026 and CTRI registration: CTRI/2026/04/108575 in April 2026. As part of the data collection workflow, participants first review a consent page, and depending on their choice, we either record only mammography details or, if consent is given, capture a structured risk questionnaire (lifestyle, breast examination, family history) followed by mammography data.

We received ethics committee approval in January 2026 and CTRI registration: CTRI/2026/04/108575 in April 2026. As part of the data collection workflow, participants first review a consent page, and depending on their choice, we either record only mammography details or, if consent is given, capture a structured risk questionnaire (lifestyle, breast examination, family history) followed by mammography data.

We received ethics committee approval in January 2026 and CTRI registration: CTRI/2026/04/108575 in April 2026. As part of the data collection workflow, participants first review a consent page, and depending on their choice, we either record only mammography details or, if consent is given, capture a structured risk questionnaire (lifestyle, breast examination, family history) followed by mammography data.

AI enabled Breast Cancer Risk Prediction Tool

AI enabled Breast Cancer Risk Prediction Tool

AI enabled Breast Cancer Risk Prediction Tool

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

Medical Principal Investigator

Medical Principal Investigator

Medical 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

Nidhi Sharma

Nidhi Sharma

Nidhi Sharma

Student Intern, IISc

Student Intern, IISc

Student Intern, IISc

Venkata Sai Manideep Nanepalli

Venkata Sai Manideep Nanepalli

Venkata Sai Manideep Nanepalli

Student Intern

Student Intern

Student Intern

Bharath Kumar Tangella

Bharath Kumar Tangella

Bharath Kumar Tangella

Student Intern

Student Intern

Student Intern

Mohan Kumar Manepalli

Mohan Kumar Manepalli

Mohan Kumar Manepalli

Student Intern

Student Intern

Student Intern

Partners & Collaborators

Partners & Collaborators

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  

Email: info@tanuh.ai

Telephone: (080) 2293 4106 | (080) 2293 4107

2026 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  

Email: info@tanuh.ai

Telephone: (080) 2293 4106 | (080) 2293 4107

2026 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  

Email: info@tanuh.ai

Telephone: (080) 2293 4106 | (080) 2293 4107

2026 by TANUH