Vol. 2 No. 2 (2022): Volume-II, Number-II, 2022
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Deep Reinforcement Learning for Personalized Dose Optimization in Oncology Treatment
Abstract 17
Personalized dosing in oncology offers the promise of maximizing therapeutic benefit while minimizing toxicity, yet clinical practice remains constrained by population-level guidelines and limited individualized decision support. Deep reinforcement learning (DRL) which combines representation learning with sequential decision-making under uncertainty provides a principled framework for ... read more
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Integrating Machine Learning and Multi-Omics Data for Novel Drug Target Identification
Abstract 20
Identifying novel drug targets is central to accelerating therapeutic discovery and precision medicine. The proliferation of high-throughput “omics” technologies (genomics, transcriptomic, proteomics, metabolomics, epigenetics, single-cell omics, etc.) has created unprecedented opportunities for holistic molecular characterization of disease states. When combined with advances in machine le ... read more