Predicting Palbociclib Outcomes in Breast Cancer Using Deep Learning

 In this episode of Emerging Experts, Xiaojie Zhang, MD, a hematology/oncology fellow, and Akshat Singhal, PhD, a postdoctoral scholar, both at UC San Diego, shed light on innovative research leveraging deep learning to predict how patients with ER-positive/HER2-negative (ER+/HER2-) breast cancer will respond to palbociclib (Ibrance), a common first-line treatment for this patient population. Their work, fueled by the desire to improve precision oncology, demonstrates the significant potential of artificial intelligence (AI) in guiding cancer care.