Alexis Germán Murillo Carrasco Editor at IgMin Research
We strive to bridge scientific disciplines to stimulate collaborative growth and knowledge sharing.
Biography
Alexis Murillo is Geneticist At Universidad Nacional Mayor de San Marcos (Lima, Peru) and has completed a Ph.D. in Oncology at Universidade de São Paulo (São Paulo, Brazil). He is a specialist in molecular biology and data analysis. Member of the Executive Council of the Student Network on Extracellular Vesicles (SNEV) in 2022-2023. Member of the International Society for Extracellular Vesicles (ISEV) since 2022. Winner of the Maria Mitzi Brentani award in the period 2020-2021. Mentor of the Centifico Latino program (2023), SEH2Bioinfo (2022-Current), and the Immunology and Cancer research group, Immuca (2021-Current).
He has published over 20 scientific publications in national/international journals and has reviewed over 200 manuscripts. Among their most recent interest fields, are biomarkers research, liquid biopsy, extracellular vesicles, proteomics, genomics, and transcriptomics with a pharmacology approach.
Research Interest
Genetics, Rare Diseases, Oncology, Biomarkers, Theranostics, Data Analysis, Data Visualization
Editor
Work Details
Doctor
University of São Paulo
Comprehensive Center for Precision Oncology
Brazil
0000-0002-7372-2608 Contribution by Topic Area
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Which articles are now trending?
Research Articles
- Potentially Toxic Metals in Cucumber Cucumis sativus Collected from Peninsular Malaysia: A Human Health Risk Assessment
- Synergistic Assessment of Supplementation of Ascorbic Acid and Massularia acuminata Extracts on Serum Electrolyte and Lipid Profile Indices of Dyslipidemia in Adult Wistar Rats Exposed to Aluminum Chloride Toxicity
- Properties of Indium Antimonide Nanocrystals as Nanoelectronic Elements
- Investigation and Energy Modeling of New Generation Environmentally Friendly Energy Source Thorium Fueled Molten Salt Reactors
- Efficacy of Alternative Insecticides against Dusky Cotton Bug (Oxycarenus laetus) to Improve Yield Losses in Cotton Crops through Residue-based Bioassay
- A Machine Learning-based Method for COVID-19 and Pneumonia Detection
