## 8 Conclusions and Future Work  
This study effectively evaluates numerical breast designs to improve the accuracy of breast cancer detection using personalized data such as 3D breast images, thermograms, and situ-cooling of the breast. The methodology and simulations that were constructed and evaluated can be highly effective for precise breast cancer classification using infrared techniques. By using the COMSOL software, analyses on silicon breasts were performed and numerical simulations were utilized to verify the breast designs with modeled tumors. The simulation study establishes that tumors within the breast can result in varied heat transfers based on parameters such as tumor depth, size, and breast shape. Furthermore, the situ-cooling feature was utilized to enhance temperature contrast and improve the accuracy of breast cancer detection. This is critical because the advancement of finite elements based on variation infrared modeling has the potential to significantly improve the accuracies of tumor detection using thermography. In summary, the following conclusions are observed. * Large breast size with large surface area tends to consistently reduce the temperature variations on the skin and, therefore, one needs to consider that larger breast sizes might have difficulty in yielding observable temperature contrasts in comparison to smaller ones. * Furthermore, smaller tumor size below 0.5 cm might be quite difficult to detect, especially for small breast size. * Lastly, tumors located deep within the breast layers may pose challenges in producing observable temperature variations, particularly for smaller breast sizes. * However, experimental results suggest that it may be possible to mitigate the effects of small tumor size and deep tumor locations in small breasts by applying situ-cooling to the breast skin surface. Actually, it can yield an appreciable temperature contrast of up to 4.8 \({}^{\circ}\)C, even at a tumor depth of 10 cm and for a breast size of 17 cm. The results of the emulation experiment and COMSOL simulation demonstrate a strong correlation between the breast surface temperature distribution and intensity versus the tumor depth and size. Further, detection of breast skin surface temperature variations for a tumor size smaller than 0.5 cm can be achieved using a high resolution sensitive thermal camera and/or by applying situ-cooling. Situ-cooling allows one to increase thermal contrast for tumors located deep beneath skin surface, and not detectable by COMSOL simulation, by a considerable amount. For example, for all tumor depths, sit-cooling maintained a temperature contrast of 4.8 \({}^{\circ}\)C. Therefore, our future work will attempt to add the situ-cooling layer to the COMSOL simulation model and observe its effect on the different breast layers and interacting thermophysical properties of the breast with tumor aggressiveness in detail. In addition, we will recommend extending the research scope to encompass various types of breast cancer, including but not limited to, breast abnormalities such as fibroadenomas or cysts and glandular density. This expansion would enable a more comprehensive understanding of the diverse manifestations of breast cancer and contribute to the advancement of diagnostic and treatment strategies tailored to specific subtypes. Breast implants can alter the breast's natural characteristics and may introduce a big challenge to image acquisition procedures. It would be important in future studies to emphasize the need for a sufficiently large and diverse sample of patients with different breast profiles to account for individual variability and ensure the generalizability of the findings. It is also necessary to discuss the importance of including women with breast implants in the study population to evaluate the method's effectiveness and safety in this specific subgroup.