Reinforcement learning algorithms and applications in healthcare and robotics: a comprehensive and systematic review

MNA Al-Hamadani, MA Fadhel, L Alzubaidi, B Harangi - Sensors, 2024 - mdpi.com
Reinforcement learning (RL) has emerged as a dynamic and transformative paradigm in
artificial intelligence, offering the promise of intelligent decision-making in complex and …

[HTML][HTML] A review on the hydrodynamics of planing hulls

S Tavakoli, M Zhang, AA Kondratenko, S Hirdaris - Ocean Engineering, 2024 - Elsevier
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 …

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 …

[HTML][HTML] Reinforcement learning for precision oncology

JN Eckardt, K Wendt, M Bornhaeuser, JM Middeke - Cancers, 2021 - mdpi.com
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 …

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 …

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 …

Model‐informed reinforcement learning for enabling precision dosing via adaptive dosing

EM Tosca, A De Carlo, D Ronchi… - Clinical Pharmacology & …, 2024 - Wiley Online Library
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 …

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 …

Deep reinforcement learning-based control of chemo-drug dose in cancer treatment

H Mashayekhi, M Nazari, F Jafarinejad… - Computer Methods and …, 2024 - Elsevier
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 …

[HTML][HTML] Crosstalk between HER2 and PD-1/PD-L1 in breast cancer: from clinical applications to mathematical models

R Padmanabhan, HS Kheraldine, N Meskin, S Vranic… - Cancers, 2020 - mdpi.com
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 …