A joint research team from Macao Polytechnic University has developed a new AI model to accurately predict the efficacy of neoadjuvant therapy for breast cancer

The latest research, "Exploring Personalized Neoadjuvant Therapy Selection Strategies in Breast Cancer: An Explainable Multi modal Response Model," completed in collaboration with multiple institutions including the Macao Polytechnic University, was recently published in the international authoritative journal eClinicalMedicine with an impact factor of 10.0. The team has successfully developed a set of interpretable multimodal AI models, which can accurately predict the efficacy of neoadjuvant therapy (NAT) for breast cancer based on patients' clinical data, dynamic enhanced MRI images and medical record information before treatment, and customize personalized programs with lower toxicity and better efficacy for patients around the world, marking a key step forward in precision treatment of breast cancer.