Science-Driven Innovation
Sein Medical is founded on deep academic expertise. Our team has published 20+ peer-reviewed papers in breast cancer biology, biomarkers, and AI-assisted diagnostics. This research directly informs our platform.
20+
Published Papers
3
Active Research Areas
8+
Peer-Reviewed Journals
3
Research Partners
Research Focus Areas
Our research spans from fundamental breast cancer biology to applied AI in clinical settings.
Identifying and validating novel biomarker panels that enhance mammographic screening accuracy beyond imaging alone.
Developing and optimizing AI models specifically trained for breast imaging patterns, mass characterization, and calcification detection.
Fundamental research into breast cancer tumor biology, genetics, and progression that informs our AI analysis pipeline.
Rigorous clinical studies to validate our platform's accuracy, reliability, and clinical utility across diverse patient populations.
Selected Publications
A sample of peer-reviewed publications from our founding team.
Integration of Biomarker Panels with Deep Learning for Enhanced Breast Cancer Detection in Dense Tissue
Shahani M., Gharagozloo D., et al.
Journal of Medical Imaging
Multimodal AI Analysis of Mammographic Images: A Systematic Approach to BI-RADS Classification
Shahani M., Ahmadpour F., et al.
Cancer Detection and Prevention
Biomarker-Enhanced Risk Stratification in Breast Cancer Screening: A Review
Shahani M., Gharagozloo D., Ahmadpour F.
Breast Cancer Research and Treatment
The Role of BRCA1/2 Status in AI-Assisted Mammographic Interpretation
Gharagozloo D., Shahani M., et al.
Genetics in Medicine
Reducing False Positive Rates in Mammography Through Patient-Contextual AI Models
Shahani M., et al.
Radiology: Artificial Intelligence
Hormonal Biomarkers and Breast Density: Implications for AI-Driven Screening Optimization
Shahani M., Gharagozloo D., et al.
Endocrine-Related Cancer
Biophysical Properties of Breast Tissue and Their Impact on Mammographic Detection
Shahani M., et al.
Physics in Medicine & Biology
A Comparative Analysis of AI Classification Systems for Breast Imaging
Ahmadpour F., Shahani M., et al.
International Journal of Cancer
Research Partners
We collaborate with leading institutions and organizations in cancer research and clinical science.
Interested in Research Collaboration?
We're always looking for research partners, clinical sites for validation studies, and academic collaborators.