Chetan Chaudhari

Design of an Intelligence Pipeline for Blood-Cancer Prognosis: Integrating Multi-Omics Reconciliation, Trajectory Consistency Modelling, Clinical Calibration, Drift-Aware Surveillance, and Reinforcement Integration Operations

Blood cancer prognosis is still behind clinical need because current prediction algorithms fail to reflect how hematological malignancies grow, reorganize their molecular landscapes, and drift under therapy pressure. Static deep-learning pipelines that treat prognosis as a one-time classification task make existing alg...