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 2
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 4
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