A5020913417- Mathematical Biology Tumor Growth
- Anesthesia and Sedative Agents
- Intensive Care Unit Cognitive Disorders
- Cancer Cells and Metastasis
- Gene Regulatory Network Analysis
- Cancer Immunotherapy and Biomarkers
- Anesthesia and Neurotoxicity Research
- Digital Imaging for Blood Diseases
- CAR-T cell therapy research
- Artificial Intelligence in Healthcare
- Receptor Mechanisms and Signaling
- Digital Transformation in Industry
- Computational Drug Discovery Methods
- COVID-19 epidemiological studies
- Bacterial Identification and Susceptibility Testing
- Neutropenia and Cancer Infections
- Additive Manufacturing and 3D Printing Technologies
- SARS-CoV-2 and COVID-19 Research
- Immunotherapy and Immune Responses
- Neuroscience and Neuropharmacology Research
- Cancer Genomics and Diagnostics
- Hemodynamic Monitoring and Therapy
- AI in cancer detection
- Microtubule and mitosis dynamics
- Law, logistics, and international trade
Hamad bin Khalifa University
2022-2025
Qatar Foundation
2022-2024
Hamad Medical Corporation
2023
National Center for Cancer Care and Research
2023
Qatar University
2013-2022
East Asia School of Theology
2020
Bakhtar University
2016
Objectives While delays in leukemia detection remain an ongoing challenge hematologic cancer care, little is known about the factors associated with these delays. This article focuses on identifying barriers hindering timely diagnosis of through a cohort analysis (2016-2021) 220 Acute Myeloid Leukemia (AML), 161 Chronic (CML), 90 Lymphocytic (ALL), and 121 (CLL) patients Qatar. Methods Of 592 used for study, subsets were identified analyzed delay (423), risk stratification (437), stage...
The use of ill-suited antibiotics is a significant risk factor behind the increase in mortality, morbidity, and economic burden for patients who are under treatment hematological malignancy (HM) bloodstream infections (BSI). Such unfitting choices intensify evolution resistant variants which public health concern due to possible healthcare-associated infection spread general population. Hence, this study aims evaluate antibiograms with BSI factors associated septicemia. A total 1166 febrile...
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+ cancers are yet to benefit from this therapeutic strategy. Precisely, several questions regarding the right combination drugs, drug modality, effective dose recommendations pertaining use ICB-based for remain unanswered.In study, we a mathematical modeling-based approach...
The increasing threat of cancer to human life and the improvement in survival rate this disease due effective treatment has promoted research various related fields. This shaped clinical trials emphasized necessity properly schedule chemotherapy ensure safe treatment. Most control methodologies proposed for scheduling are model-based. In paper, a reinforcement learning (RL)-based, model-free method is closed-loop drug dosing. Specifically, Q-learning algorithm used develop an optimal...
The focus of several clinical trials and research in the area pharmacology is to fine tune drug dosing phase additive, antagonistic, synergistic interactive effects. It important consider effects drugs restrict usage optimal level required achieve certain therapeutic Such methods will minimize adverse cost associated with treatment. In this paper, we discuss use a reinforcement learning (RL)-based controller titration while different are administrated simultaneously. We demonstrate efficacy...
Patient care in intensive units involves the combined administration of several drugs. Apart from desired drug effect, often such drugs disturb other physiological functions patient. Control strategies based on nominal pharmacokinetic models cannot ideally embody interpatient and intrapatient variability. Moreover, exogenous endogenous disturbances also alter parameters patient which turn affect pharmacokinetics phar-macodynamics Such parameter variations directly influence output effect....
General anesthesia is required for patients undergoing surgery as well some in the intensive care units with acute respiratory distress syndrome. How-ever, most anesthetics affect cardiac and functions. Hence, it important to monitor control infusion of meet sedation requirements while keeping patient vital parameters within safe limits. The critical task administration also necessitates that drug dosing be optimal, specific, robust. In this paper, concept reinforcement learning (RL) used...
Abstract The critical task of anesthesia administration demands optimal drug titration by considering patient‐specific features and sedation requirements. Though there exist several assessment monitors, physicians still largely rely on subjective scoring systems. This paper presents an infusion controller for the continuous midazolam along with analgesic fentanyl. Specifically, we extend convex optimization‐based dosing regimen propofol to midazolam. We additionally propose alternative...