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Quantification of the growth suppression of HER2+ breast cancer colonies under the effect of trastuzumab and PD-1/PD-L1 inhibitor.
(
Frontiers Media
, 2022 , Article)
Immune checkpoint blockade (ICB)-based therapy is revolutionizing cancer treatment by fostering successful immune surveillance and effector cell responses against various types of cancers. However, patients with HER2+ ...
Q-Learning Based Closed-Loop Control of Anesthesia Administration by Accounting for Hemodynamic Parameter Variations
(
Hamad bin Khalifa University Press (HBKU Press)
, 2016 , Conference)
Critically ill patients in the intensive care units (ICUs) are often in acutely disturbed state of mind characterized by restlessness, illusions, and nervousness. Such patients, for instance, those who are mechanically ...
Closed-loop control of anesthesia and mean arterial pressure using reinforcement learning
(
IEEE
, 2014 , Conference)
General anesthesia is required for patients undergoing surgery as well as for some patients in the intensive care units with acute respiratory distress syndrome. How-ever, most anesthetics affect cardiac and respiratory ...
Reinforcement learning-based control of drug dosing for cancer chemotherapy treatment
(
Elsevier Inc.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
A Review of Artificial Intelligence Applications in Hematology Management: Current Practices and Future Prospects
(
JMIR Publications
, 2022 , Article Review)
Background: Machine learning (ML) and deep learning (DL) methods have recently garnered a great deal of attention in the field of cancer research by making a noticeable contribution to the growth of predictive medicine and ...
Crosstalk between HER2 and PD-1/PD-L1 in Breast Cancer: From Clinical Applications to Mathematical Models.
(
Springer
, 2020 , Article)
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 (HER2) and triple-negative breast cancers. Therapies ...
LEARNING-BASED CONTROL OF CANCER CHEMOTHERAPY TREATMENT
(
Elsevier B.V.
, 2017 , Article)
The increasing threat of cancer to human life and the improvement in survival rate of this disease due to effective treatment has promoted research in various related fields. This research has shaped clinical trials and ...
Reinforcement learning-based control for combined infusion of sedatives and analgesics
(
Institute of Electrical and Electronics Engineers Inc.
, 2017 , Conference)
The focus of several clinical trials and research in the area of clinical pharmacology is to fine tune the drug dosing in the phase of additive, antagonistic, and synergistic drug interactive effects. It is important to ...
Reinforcement learning-based decision support system for COVID-19
(
Elsevier
, 2021 , Article)
Globally, informed decision on the most effective set of restrictions for the containment of COVID-19 has been the subject of intense debates. There is a significant need for a structured dynamic framework to model and ...
Diagnosis Challenges in Adult Leukemia: Insights From a Single-Center Retrospective Study in Qatar (2016-2021)
(
SAGE Publications Ltd
, 2025 , Article)
Objectives: While delays in leukemia detection remain an ongoing challenge in hematologic cancer care, little is known about the factors associated with these delays. This article focuses on identifying the barriers hindering ...