Adaptive Neuro-Symbolic Planning for precision oncology clinical workflows during mission-critical recovery windows

Adaptive Neuro-Symbolic Planning for precision oncology clinical workflows during mission-critical recovery windows Introduction: A Learning Journey at the Intersection of AI and Medicine My journey into this specialized field began not in a hospital, but in a research lab where I was experimenting with reinforcement learning for robotic path planning. While exploring multi-agent systems for warehouse automation, I stumbled upon a paper about treatment scheduling in oncology that fundamentally changed my perspective. The parallels were striking: both involved optimizing sequences of actions under uncertainty with critical timing constraints. However, the stakes in oncology were incomparably higher—human lives hung in the balance during what clinicians call "mission-critical recovery windows." Through studying clinical oncology workflows, I realized that current AI approaches were treating cancer treatment as either a pure classification problem (which drug works?) or a pure optimizatio