M. Liu

ORCID: 0000-0002-4274-9613
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About
Contact & Profiles
Research Areas
  • Transplantation: Methods and Outcomes
  • Organ Transplantation Techniques and Outcomes
  • Cardiac Ischemia and Reperfusion
  • Cancer-related molecular mechanisms research
  • RNA Interference and Gene Delivery
  • Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
  • Renal Transplantation Outcomes and Treatments
  • Virus-based gene therapy research
  • Pulmonary Hypertension Research and Treatments
  • Viral Infections and Immunology Research
  • Tracheal and airway disorders
  • Machine Learning in Healthcare
  • MicroRNA in disease regulation
  • Mechanical Circulatory Support Devices
  • Artificial Intelligence in Healthcare
  • Metabolomics and Mass Spectrometry Studies
  • Medical Imaging and Pathology Studies
  • Organ and Tissue Transplantation Research
  • Sepsis Diagnosis and Treatment
  • Anesthesia and Pain Management
  • Artificial Intelligence in Healthcare and Education
  • Optical Coherence Tomography Applications
  • Neutrophil, Myeloperoxidase and Oxidative Mechanisms
  • Preterm Birth and Chorioamnionitis
  • Neonatal Respiratory Health Research

University of Toronto
2010-2025

Duke-NUS Medical School
2022-2025

St. Michael's Hospital
2025

First Affiliated Hospital of Guangzhou Medical University
2024

State Key Laboratory of Respiratory Disease
2024

Guangzhou Medical University
2024

Nanchang Hangkong University
2024

Oil Crops Research Institute
2024

Chinese Academy of Agricultural Sciences
2024

Beijing University of Chemical Technology
2024

Artificial intelligence (AI) has been extensively researched in medicine, but its practical application remains limited. Meanwhile, there are various disparities existing AI-enabled clinical studies, which pose a challenge to global health equity. In this study, we conducted an in-depth analysis of the geo-economic distribution 159 as well gender among these studies. We aim reveal from literature perspective, thus highlighting need for equitable access medical AI technologies.

10.1038/s41746-024-01212-7 article EN cc-by npj Digital Medicine 2024-08-10

Velázquez, Ahida MD, MSc; Pereira, Sérgio M. PhD; Rigamonti, Andrea MD; Giammarioli, Benedetta Liu, Melissa Ma, Kan MD Author Information

10.1213/xaa.0000000000001938 article EN A&A Practice 2025-03-01

Although the triglyceride form is natural of fish oil found in fish, ethyl ester oil, which used during processing to save costs, also present on market. In this study, fatty acids and lipids were determined using gas chromatography–mass spectrometry (GC–MS) liquid chromatography–linear ion trap mass (LC–LIT/MS), respectively, according developed methods. The identification was based spectral characteristics equivalent chain lengths. However, acid contents both forms oils are quite similar....

10.3390/foods13071128 article EN cc-by Foods 2024-04-08
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