Khurshid Ahmad
Qassim University, Yeungnam University, National Bureau of Agriculturally Important Microorganisms
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · Muscle Physiology and Disorders · Alzheimer's disease research and treatments
About
Khurshid Ahmad is an Associate Professor of Health Informatics at Qassim University, Saudi Arabia, with a PhD in Bioinformatics. His research combines computational and experimental approaches to study skeletal muscle ageing, sarcopenia, metabolic disease and natural-product therapeutics. He has co-authored more than 100 peer-reviewed publications and holds patents in Korea and the United States.
Employment
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Qassim University Associate Professor2026 - Present
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Qassim University Assistant Professor2024 - 2026
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Yeungnam University Assistant Professor2018 - 2024
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Yeungnam University Postdoctoral Researcher2016 - 2018
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National Bureau of Agriculturally Important Microorganisms Research Associate2016 - 2016
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National Bureau of Fish Genetic Resources Senior Research Fellow2015 - 2016
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (176)
- MuSC cultivation for cultured meat production: recent advances, current limitations, and future directions Save
- Alginate-derived smart hydrogel dressing with CaP/ZnO synergy for on-demand hemostasis and pH-triggered curcumin delivery Save
- Glycyrrhiza Phytochemicals as Candidate Ligands of Skeletal Muscle Metabolic Regulators: An Integrative Reverse-Docking and Replicate Molecular Dynamics Study Save
- Terpenoids: A Comprehensive Review on Biosynthesis, Applications and Enhancement Strategies for Translational Research Save
- The Gut-Mammary Axis in Dairy Cattle: A Review of Gut Microbiota-Driven Influences on Lactation Save
- Phytochemical Profiling, In Vitro α-Amylase Inhibitory and Antioxidant Activities of Madhuca longifolia Leaf and Bark Extracts with Molecular Docking Analysis Save
- Integrative Single-Cell, Spatial, and Bulk Transcriptomics Characterizes an Outcome-Associated, Spatially Organized Mesenchymal Program in IDH-Mutant Glioma Save
- Nanocarrier Systems for Plant-Derived Bioactives: Design, Biosafety, and Translational Challenges Save
- Multiclass Machine Learning-Based Discovery of Novel Scaffold Inhibitors Targeting ALK Save
- Global, regional, and national burden of tuberculosis and multidrug-resistant tuberculosis by HIV status, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 Save
- Global burden of enteric infectious diseases, diarrhoeal diseases, and corresponding aetiologies, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023. Save
- Updated trends in the global prevalence and burden of mental disorders, 1990–2023: a systematic analysis for the Global Burden of Disease Study 2023 Save
- Causal Uncertainty-Decomposed Ensemble Learning for Confounding-Aware Skin Cancer Detection in Dermoscopic Images Save
- Digital health information-seeking behaviors and trust in AI-based physician chatbots among patients with hypertension: a cross-sectional survey in Saudi Arabia Save
- Exploring Genetic and Epigenetic Interplay: Novel Therapeutic Targets for Disability Management Save
- Global burden of enteric infectious diseases, diarrhoeal diseases, and corresponding aetiologies, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023 (vol. 26, 00194-5, 2026) Save
- Global burden of lower respiratory infections and aetiologies, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023 Save
- Global, regional, and national burden of breast cancer among females, 1990-2023, with forecasts to 2050: a systematic analysis for the Global Burden of Disease Study 2023 Save
- Global, regional, and national burden of meningitis, its risk factors, and aetiologies, 1990-2023: a systematic analysis for the Global Burden of Disease Study 2023 Save
- Integrated virtual screening, ADMET profiling, and molecular dynamics simulations of novel natural HDAC6 inhibitors with the potential to ameliorate skeletal muscle degeneration Save