About

Mohamed R. Ali, M.D., F.A.C.S., is a faculty member within the Department of Surgery at UC Davis Health, specializing in areas related to surgery, with a focus on endocrine surgery, foregut, metabolic, and general surgery. His role involves contributing to the department's mission of providing comprehensive surgical care, education, and research. As a recognized surgeon with a fellowship status, he is involved in advancing surgical techniques and patient outcomes in his specialty areas. His work supports the department's broader goals of socially responsible surgery, surgical education, and innovative research in surgical sciences.

Research topics

• Physics
• Materials science
• Mechanics
• Computer Science
• Thermodynamics
• Surgery
• Medicine
• Composite material
• Internal medicine
• Classical mechanics
• Gastroenterology
• Mathematical analysis
• Applied mathematics
• Mathematics
• Environmental science

Selected publications

• Pregnancy after bariatric surgery: persistent obesity and longer time to conception influences peripartum outcomes more than the type of operation

  Surgery for Obesity and Related Diseases · 2026-02-11

  article
  PublisherDOI

• Artificial Intelligence in Upper Gastrointestinal Endoscopy: Current Evidence, Practice, and Future Directions

  Cureus · 2025-11-12 · 1 citations

  articleOpen access

  Artificial intelligence (AI) is advancing upper gastrointestinal endoscopy (UGIE), ranging from manual, variable workflows to assisted, quality-controlled examinations. Computer-aided detection (CADe) and diagnosis (CADx) systems can help in identifying anatomy, reducing blind spots, and shifting random biopsies toward targeted sampling. Across Barrett’s neoplasia, esophageal squamous cell carcinoma, early gastric cancer, and Helicobacter pylori assessment, deep learning models may match or approach expert performance while accelerating image review. Architectures spanning convolutional neural networks to reinforcement learning tools demonstrate high sensitivity and specificity for lesion detection, invasion-depth estimation, and characterization. However, routine adoption requires rigorous, prospective, multicenter validation; mitigation of dataset bias and domain shift; attention to false positives, alarm fatigue, and workflow design; and training that prevents over-reliance on AI. With human-in-the-loop oversight, interpretable outputs, and cost-conscious deployment, AI can standardize inspections, improve diagnostic confidence, enhance training, and deliver better patient outcomes overall without displacing clinical judgment. In this narrative review, we aim to summarize these recent advancements, discuss the performance of AI across key upper gastrointestinal applications, and critically evaluate the practical challenges and future directions for its clinical implementation.

  PublisherOA PDFDOI

• Cisplatin‐Induced Muscle Wasting and Atrophy: Molecular Mechanism and Potential Therapeutic Interventions

  Journal of Cachexia Sarcopenia and Muscle · 2025-05-08 · 9 citations

  reviewOpen access

  Platinum-based chemotherapeutics, particularly cisplatin, are crucial in the treatment of various malignancies due to their strong antitumor effects. However, a significant side effect of cisplatin is muscle atrophy, which severely impairs physical strength, diminishes quality of life and complicates cancer therapy. Cisplatin-induced muscle wasting arises from a complex interplay of enhanced proteolysis, reduced muscle protein synthesis and systemic inflammation. Understanding the underlying molecular mechanisms of muscle atrophy is vital for identifying new therapeutic targets. This review systematically explores molecular-based therapies and plant-derived natural compounds, providing a comprehensive overview of their efficacy in vivo and in vitro for preventing cisplatin-induced muscle atrophy. Both molecular-based therapies and plant-derived natural compounds present promising strategies for mitigating cisplatin-induced muscle atrophy. Ghrelin, growth hormone secretagogues and testosterone stimulate anabolic pathways and reduce muscle degradation, whereas natural compounds like capsaicin and naringenin exert protective effects by reducing inflammation and oxidative stress. A better understanding of the pathophysiology of muscle atrophy, combined with optimized therapeutic applications, may facilitate the clinical translation of these interventions to improve outcomes for cancer patients undergoing chemotherapy.

  PublisherOA PDFDOI

• Accuracy of Fetal MCA Doppler Ultrasound Scan in Prediction of Neonatal Anemia in Iron Deficiency Anemic Patients

  Al-Azhar International Medical Journal /Al-Azhar International Medical Journal · 2025-04-30

  articleOpen accessSenior author
  PublisherDOI

• Investigating the wave profiles to the linear quadratic model in mathematical biology

  Scientific Reports · 2025-07-31 · 5 citations

  articleOpen access

  This study investigates the dynamic behavior of the linear quadratic model (LQM), a fundamental framework in radiation biology that describes cellular response to radiation, particularly in the context of DNA damage and cancer progression. The LQM was originally developed to quantify radiation-induced cell death and repair mechanisms, with a focus on double-stranded DNA breaks, the most critical type of radiation damage. Despite advances in tracking tumor cell dissemination, the mechanisms underlying cancer invasion remain poorly understood. Mathematical modeling, particularly through partial differential equations, has become an essential tool for simulating tumor growth and optimizing therapeutic strategies, bridging the gap between theoretical biology and clinical applications. In this work, we employ advanced analytical techniques, including the generalized Arnous method, modified F-expansion method, and generalized exponential rational function approaches to solve the model for the first time. By transforming the governing PDE into an ordinary differential equation using β-derivative and wave transformations, we derive exact solutions in the form of dark, bright, singular, mixed, complex, and combined soliton waves. These solutions, visualized through 2D and 3D plots, reveal the system's behavior under varying parameters, demonstrating the computational power and effectiveness of the applied methods. The results not only validate the proposed techniques but also enhance our understanding of the model's nonlinear dynamics. The novel findings presented here are expected to advance future research in radiation biology and cancer treatment optimization.

  PublisherOA PDFDOI

• Performance analysis of a photovoltaic thermal system with ternary nanofluids cooling and dual phase change materials

  Case Studies in Thermal Engineering · 2025-04-14 · 4 citations

  articleOpen access

  Photovoltaic-thermal (PV/T) systems offer a sustainable solution for electricity generation and energy conservation in developing countries. However, high operating temperatures can significantly reduce their efficiency. This study investigates the thermal performance of a PV/T system incorporating a cooling flow channel to regulate temperature and enhance electrical output while utilizing excess heat for practical applications. The system comprises glass, polycrystalline silicon, an absorber, and a flow channel employing ternary and water-based nanofluids. Two phase change materials (PCMs), paraffin octadecane wax (C18H38) and sodium sulfate decahydrate (Na2SO4·10H2O), are embedded in the channel to enhance thermal regulation. Numerical simulations are conducted using COMSOL Multiphysics 6.0, employing a conjugate heat transfer approach to solve the continuity, momentum, and energy equations. The study considers steady, laminar, and Newtonian flow conditions and evaluates system performance under varying heat flux levels. Key parameters include Reynolds number (50–200), nanoparticle volume fraction (1 %–15 %), latent heat of melting (240–260 J/g), and ambient temperatures in Sukkur, Pakistan. Results indicate that paraffin wax undergoes phase transitions more rapidly than sodium sulfate decahydrate, whereas Na2SO4·10H2O exhibits greater temperature variations due to higher inlet temperatures. Optimal thermal efficiency of 75.91 % is achieved at Re = 50, Tamb = 45 °C, and ϕ = 10 %.

  PublisherDOI

• Monsoonal imprint on late Quaternary landscapes of the Rub’ al Khali Desert

  Communications Earth & Environment · 2025-04-03 · 2 citations

  articleOpen access

  Abundant geomorphological, biological, and isotopic records show that Arabia repeatedly underwent significant climate-driven environmental changes during late Quaternary humid periods. Precisely mapping how the enhancement and expansion of the African Monsoon during these humid periods have affected landscape evolution and human occupation dynamics in Arabia remains a scientific challenge. Here we reconstruct an ancient water-sculpted landscape consisting of lake and river deposits, coupled with a large outlet valley in the Rub' al Khali Desert of Saudi Arabia. During the peak of the Holocene Humid Period or before, intense rainfall reactivated alluvial floodplains and filled a ~1100 km² topographic depression, which eventually breached, carving a deep ~150 km-long valley. Coupling geologic reconstructions with transient Earth system model simulations shows that this hydrological activity was linked to higher seasonal precipitation punctuated by repeated heavy events. Analysis of lacustrine and fluvial sedimentary deposits implies sediment routing across distances of up to 1000 km from the Asir Mountains. Our results indicate that such intense flooding challenges the conventional view of simple, weak, and linear landscape stabilization following increased rainfall in Arabia. Our findings highlight the crucial role of an enhanced African Monsoon in driving rapid landscape transformations in the Arabian Desert.

  PublisherOA PDFDOI

• Retraction notice to “Efficient computational approaches for fractional-order Degasperis-Procesi and Camassa–Holm equations” [Results Phys. 50 (2023) 106549]

  Results in Physics · 2025-03-28

  articleOpen accessSenior authorCorresponding
  PublisherDOI

• Data analysis of dynamical system for the optimization of disease dynamics through Neural Networks Paradigm

  Chaos Solitons & Fractals · 2025-04-02 · 6 citations

  articleSenior author
  PublisherDOI

• Author Correction: Antiviral potential of Melissa officinalis extracts against influenza and emerging coronaviruses

  Scientific Reports · 2025-06-16 · 1 citations

  erratumOpen access
  PublisherOA PDFDOI

Frequent coauthors

• Zulqurnain Sabir

  Lebanese American University

  89 shared

• R. Sadat

  Zagazig University

  88 shared

• Mohamad Sawan

  Polytechnique Montréal

  58 shared

• Ahmed S. Hendy

  49 shared

• Wen‐Xiu Ma

  University of South Florida

  42 shared

• Muhammad Asif Zahoor Raja

  37 shared

• Assad Ayub

  Hazara University

  26 shared

• Ahmad Hassan

  Polytechnique Montréal

  23 shared

Labs

• Center for Alimentary and Metabolic SciencePI

Awards & honors

• LEAD Research Award, American Society for Metabolic and Bari…
• Expert Panel, American Board of Surgery, Focused Designation…
• Chair of Research, American Society for Metabolic and Bariat…
• Executive Director, UC Davis Center for Alimentary and Metab…
• Associate Editor, Surgery for Obesity and Related Disorders…