Reinforcement learning algorithms and applications in healthcare and robotics: a comprehensive and systematic review
Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in
artificial intelligence, offering the promise of intelligent decision-making in complex and …
artificial intelligence, offering the promise of intelligent decision-making in complex and …
[HTML][HTML] A review on the hydrodynamics of planing hulls
The topology of planing hulls entails some of the most innovative specifications found in
modern advanced marine vehicles. Planing hull designs can vary depending on their …
modern advanced marine vehicles. Planing hull designs can vary depending on their …
Reinforcement learning strategies in cancer chemotherapy treatments: A review
CY Yang, C Shiranthika, CY Wang, KW Chen… - Computer Methods and …, 2023 - Elsevier
Background and objective Cancer is one of the major causes of death worldwide and
chemotherapies are the most significant anti-cancer therapy, in spite of the emerging …
chemotherapies are the most significant anti-cancer therapy, in spite of the emerging …
[HTML][HTML] Reinforcement learning for precision oncology
Simple Summary The accelerating merger of information technology and cancer research
heralds the advent of novel methods and models for clinical decision making in oncology …
heralds the advent of novel methods and models for clinical decision making in oncology …
Multi-objective deep reinforcement learning for personalized dose optimization based on multi-indicator experience replay
L Huo, Y Tang - Applied Sciences, 2022 - mdpi.com
Chemotherapy as an effective method is now widely used to treat various types of malignant
tumors. With advances in medicine and drug dosimetry, the precise dose adjustment of …
tumors. With advances in medicine and drug dosimetry, the precise dose adjustment of …
Supervised optimal chemotherapy regimen based on offline reinforcement learning
C Shiranthika, KW Chen, CY Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
In recent years, reinforcement learning (RL) has achieved a remarkable achievement and it
has attracted researchers' attention in modeling real-life scenarios by expanding its research …
has attracted researchers' attention in modeling real-life scenarios by expanding its research …
Model‐informed reinforcement learning for enabling precision dosing via adaptive dosing
Precision dosing, the tailoring of drug doses to optimize therapeutic benefits and minimize
risks in each patient, is essential for drugs with a narrow therapeutic window and severe …
risks in each patient, is essential for drugs with a narrow therapeutic window and severe …
Deep learning in precision medicine and focus on glioma
Y Liu, M Wu - Bioengineering & Translational Medicine, 2023 - Wiley Online Library
Deep learning (DL) has been successfully applied to different fields for a range of tasks. In
medicine, DL methods have been also used to improve the efficiency of disease diagnosis …
medicine, DL methods have been also used to improve the efficiency of disease diagnosis …
Deep reinforcement learning-based control of chemo-drug dose in cancer treatment
Background and objective Advancement in the treatment of cancer, as a leading cause of
death worldwide, has promoted several research activities in various related fields. The …
death worldwide, has promoted several research activities in various related fields. The …
[HTML][HTML] Crosstalk between HER2 and PD-1/PD-L1 in breast cancer: from clinical applications to mathematical models
Breast cancer is one of the major causes of mortality in women worldwide. The most
aggressive breast cancer subtypes are human epidermal growth factor receptor-positive …
aggressive breast cancer subtypes are human epidermal growth factor receptor-positive …