Eugenio Aztiria | Neurodegeneration | Excellence in Research Award

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Assoc. Prof. Dr. Eugenio Aztiria | Neurodegeneration | Excellence in Research Award

Universidad Nacional del Sur | Argentina

Assoc. Prof. Dr. Eugenio Aztiria is a distinguished researcher in neurobiology and cognitive neuroscience, holding a Licenciatura and Doctorate in Biology from Universidad Nacional del Sur, Argentina, and extensive international postdoctoral experience in the USA and Italy. Currently, he serves as Profesor Adjunto at Universidad Nacional del Sur and Profesional Principal at CONICET, leading research in cholinergic signaling, neurodevelopment, and visual cortex maturation. He has guided multiple undergraduate and master’s theses, contributing to studies on neuronal progenitor activation, nicotinic receptor function, and Alzheimer’s disease models. His mentorship reflects a commitment to developing future scientists and advancing neurobiological research. With 24 citations, two core documents, and an h-index of 2, Assoc. Prof. Dr. Eugenio Aztiria demonstrates sustained scholarly productivity, international collaboration, and impactful scientific contributions. His work bridges fundamental neuroscience with translational insights, underscoring his leadership, innovative research approaches, and dedication to advancing knowledge in neurodegeneration and cholinergic mechanisms, making him a strong candidate for recognition in research excellence.

Profile: Scopus

Featured Publications

Aztiria, E., et al. (2020). Novel variants in outer protein surface of flavin-containing monooxygenase 3 found in an Argentinian case with impaired capacity for trimethylamine N-oxygenation. Drug Metabolism and Pharmacokinetics.

Micaela Dugan | Neurology | Best Researcher Award

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Ms. Micaela Dugan | Neurology | Best Researcher Award

University of Michigan Medical School | United States

Ms. Micaela Dugan demonstrates outstanding research versatility, engaging in both clinical and basic science projects with methodological rigor. With 23 citations, 9 documents, and an h-index of 3, her peer-reviewed publications, correspondence in high-impact journals, and national presentations underscore her scientific credibility. Leadership roles in community health, harm reduction, and advocacy highlight her dedication to translating research into societal impact. Areas for improvement include expanding multi-center collaborations, pursuing longitudinal studies, and strengthening grant-writing experience to support independent research. Her future research potential is significant, particularly in perioperative care, pain management, and substance use interventions, where she can integrate clinical insights with translational approaches to improve patient outcomes. Overall, Ms. Dugan’s combination of rigorous scientific training, productive scholarship, and proactive leadership positions her as an exemplary candidate for the Research for Best Researcher Award. Her ongoing dedication to advancing both knowledge and community health ensures she will continue making transformative contributions to medicine and research.

Profile: Scopus

Featured Publications

Dugan, M. Q. (2025). Antiseizure medication discontinuation: A mixed-methods exploration of factors considered by patients when approaching decision-making. Epilepsy Research.

Francesco Latini | White matter | Best Researcher Award

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Assoc. Prof. Dr. Francesco Latini | White matter | Best Researcher Award

Assoc. Prof. Dr. Francesco Latini, Uppsala University Hospital, Sweden

Assoc. Prof. Dr. Francesco Latini, M.D., Ph.D., is an Associate Professor in Neurosurgery at Uppsala University Hospital, Sweden. His expertise spans general neurosurgery, neuro-oncology, and cerebrovascular diseases. With a deep interest in brain connectivity and gliomas, Dr. Latini has contributed significantly to advancing neurosurgical practices. He leads the Neurointermediate Intensive Care Unit and coordinates regional clinical processes for malignant brain tumors. 🌍🧠💉

Publication Profile

Google Scholar

Education

Dr. Latini graduated in 2006 from the University of Bologna, Italy. He completed his specialization in Neurosurgery in 2013 (cum laude) at the University of Ferrara, Italy. In 2021, he earned a Ph.D. in Medical Sciences from Uppsala University, focusing on the anatomy and behavior of low-grade gliomas. His training includes specialized fellowships in neurovascular surgery and neuro-oncology at various prestigious institutions worldwide. 🎓📚🏥

Experience

Dr. Latini’s career spans from Resident in Neurosurgery at S.Anna University-Hospital, Ferrara (2008-2013) to roles in Uppsala University-Hospital since 2014. He has held positions as a ward physician, junior consultant, and senior consultant in neurosurgery. Currently, he heads the Neurointermediate Intensive Care Unit and serves as the regional coordinator for malignant brain tumor clinical processes. He is also an associate professor in neurosurgery. 🏥🧑‍⚕️💼

Awards and Honors

Dr. Latini has received numerous awards for his contributions to neurosurgery, including recognition for his work in neuro-oncology and cerebrovascular diseases. He is highly regarded in both research and clinical practice and has been acknowledged for his clinical leadership in brain tumor management and neurosurgical innovation. His honors reflect his excellence in both teaching and surgical practice. 🏆🎖️🌟

Research Focus

Dr. Latini’s research primarily focuses on the role of white matter anatomy in the behavior and surgical treatment of low-grade gliomas. He explores the radiological and histopathological features of diffuse gliomas, aiming to develop new models for their treatment. His work bridges the gap between clinical neurosurgery and advanced imaging technologies, emphasizing preoperative planning and patient outcomes. 🧠🔬

Publication Top Notes

  • Expression of 19 microRNAs in glioblastoma and comparison with other brain neoplasia of grades I–III – Cited by: 118 – Year: 2014 🧠📑

  • Segmentation of the inferior longitudinal fasciculus in the human brain: A white matter dissection and diffusion tensor tractography study – Cited by: 117 – Year: 2017 🧠📊

  • Extension of diffuse low-grade gliomas beyond radiological borders as shown by the coregistration of histopathological and magnetic resonance imaging data – Cited by: 80 – Year: 2016 🧠🩻

  • The Prognostic Roles of Gender and O6-Methylguanine-DNA Methyltransferase Methylation Status in Glioblastoma Patients: The Female Power – Cited by: 58 – Year: 2018 🧠⚖️

  • New insights in the limbic modulation of visual inputs: The role of the inferior longitudinal fasciculus and the Li-Am bundle – Cited by: 55 – Year: 2014 🧠🔬

  • Awake surgery in low-grade gliomas harboring eloquent areas: 3-year mean follow-up – Cited by: 49 – Year: 2011 🧠💉

  • Time course of neurological deficits after surgery for primary brain tumours – Cited by: 47 – Year: 2020 🧠🕰️

  • Pattern of care and effectiveness of treatment for glioblastoma patients in the real world: Results from a prospective population-based registry – Cited by: 46 – Year: 2014 🧠📈

  • Brain interstitial nociceptin/orphanin FQ levels are elevated in Parkinson’s disease – Cited by: 46 – Year: 2010 🧠⚖️

  • Is the resection of gliomas in Wernicke’s area reliable? – Cited by: 45 – Year: 2012 🧠💬

  • miRNAs expression analysis in paired fresh/frozen and dissected formalin fixed and paraffin embedded glioblastoma using real-time PCR – Cited by: 39 – Year: 2012 🧠🔬

  • The use of a cerebral perfusion and immersion–fixation process for subsequent white matter dissection – Cited by: 34 – Year: 2015 🧠⚙️

  • Mobilization of the transcavernous oculomotor nerve during basilar aneurysm surgery: biomechanical bases for better outcome – Cited by: 34 – Year: 2014 🧠⚙️

  • New insights into the anatomy, connectivity and clinical implications of the middle longitudinal fasciculus – Cited by: 33 – Year: 2021 🧠🌐

  • Definition of miRNAs expression profile in glioblastoma samples: the relevance of non-neoplastic brain reference – Cited by: 32 – Year: 2013 🧠📚

Frnaz Akbar | Neuroscience | Best Researcher Award

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Dr. Frnaz Akbar | Neuroscience | Best Researcher Award

Dr. Frnaz Akbar, National University Of Modern Languages, Pakistan

Dr. Frnaz Akbar is a dedicated computer science and software engineering educationist, researcher, and web developer with over a decade of experience in teaching and web development. She has consistently contributed to building student knowledge in computer science and is committed to high-quality education. Her expertise spans artificial intelligence, data mining, precision agriculture, IoT, and blockchain. Dr. Akbar is currently pursuing a PhD in Artificial Intelligence at Air University, Islamabad, and has a strong publication record, including studies on deep learning, pattern recognition, and EEG-based Alzheimer’s research. She has worked as a lecturer at NUML University and held teaching positions at prestigious institutions. Her technical proficiency includes MERN, Python, C++, and ASP.Net. Recognized for academic excellence, she has received multiple honors, including a Best Teacher Trophy and High Achiever Scholarships. Passionate about research and innovation, she continues to contribute significantly to computer science and AI.

Publication Profile

Scopus

Education 🎓

Dr. Frnaz Akbar is currently pursuing a PhD in Artificial Intelligence at Air University, Islamabad, focusing on machine learning and deep learning applications. She holds an MS in Software Engineering (2018-2020) from Bahria University, Islamabad, and a Master’s in Information Technology (2015-2017) from PMAS ARID University, Rawalpindi, both with first-division honors. Her Bachelor’s in Computer Science (2013-2015) was completed at Punjab University, Lahore, where she received a Role of Honor Certificate. Additionally, she earned a B.Ed. (2020-2022) from Sarhad University, Islamabad Campus, further strengthening her educational expertise. Her academic journey began with HSSC and SSC from Islamabad College F-6/2, where she maintained outstanding academic performance. Throughout her education, she has demonstrated excellence, securing High Achiever Scholarships and academic awards. With expertise in AI, IoT, and software development, her education reflects a strong foundation in research, programming, and innovative computing technologies.

Experience 👩‍🏫

Dr. Frnaz Akbar has extensive experience in academia and industry, specializing in computer science and software engineering. She is currently a Visiting Lecturer at NUML University, Islamabad, in the Department of Software Engineering. Previously, she served as a Senior Computer Science Teacher at IMCG F-10/2 (2017-2023) and ISS, G-13/1, Islamabad (2013-2017), where she mentored students and designed curricula. She has also been a Computer Tutor at Allama Iqbal Open University since 2020, providing part-time instruction. In addition to teaching, she worked as a Software Developer at K-Soft, Ministry of Defense, focusing on MIS applications. With expertise in AI, IoT, and software development, she has contributed significantly to research and education. Her teaching philosophy emphasizes innovation and hands-on learning, ensuring students acquire both theoretical and practical skills. She is passionate about integrating emerging technologies into education and has a proven track record of academic excellence.

Awards and Honors 🏆

Dr. Frnaz Akbar has been recognized for her outstanding contributions to education and research. She received the Best Teacher Trophy from IMCG F-10/2, Islamabad, for her exemplary performance in student development and academic excellence. During her MS at Bahria University, she was appointed as a Teacher Assistant, reflecting her strong command over software engineering concepts. She secured a High Achiever Scholarship in every semester of her MSc IT at PMAS ARID University, Rawalpindi, showcasing her dedication to academic excellence. Her bachelor’s degree at Punjab University earned her a Role of Honor Certificate, highlighting her exceptional academic performance. In her early education, she was awarded a certificate for high attendance at IMCG F-7/2 and secured the second position in SSC. These accolades demonstrate her commitment to education, mentorship, and research, reinforcing her position as a leader in computer science and software engineering.

Research Focus 🔬

Dr. Frnaz Akbar’s research interests revolve around cutting-edge technologies in artificial intelligence and data science. She specializes in AI-driven applications, including deep learning, data mining, and pattern recognition. Her work extends to precision agriculture, where she leverages AI for optimizing crop health analysis. She is also actively engaged in research on the Internet of Things (IoT) and edge computing, focusing on real-time data processing. Blockchain technology and its integration with AI for secure computing systems form another critical aspect of her research. One of her notable contributions is in healthcare AI, particularly Alzheimer’s disease detection using EEG signal analysis. She has published and submitted multiple research papers on AI applications in medical diagnostics and agricultural automation. Her research is highly interdisciplinary, combining machine learning, neural networks, and computational modeling to solve real-world problems, making significant contributions to AI and software engineering domains. 🚀

Publication Top Notes

📖 Optimized Approach in Requirements Change Management in Geographically Dispersed Environment (GDE), International Journal of Foundations of Computer Science, 2020

🌿 Identifying Lesions in Cotton Leaves Unconstrained Images using Deep Neural Network, Computers in Biology and Medicine, 2023 (Under Review)

🧠 Unlocking the Potential of EEG in Alzheimer’s Disease Research: Current Status and Pathways to Precision Detection, Foundations and Trends in Machine Learning, 2024 (Under Review)

📊 Assessing the Effects of Alzheimer Disease on EEG Signals using the Entropy Measure: A Meta-analysis, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 (Under Review)

Luca Faes | Computational neuroscience | Best Researcher Award

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Prof. Luca Faes | Computational neuroscience | Best Researcher Award

Professor, University of Palermo, Italy

Prof. Luca Faes is a Full Professor at the Department of Engineering, University of Palermo, Italy. He earned his MSc in Electronic Engineering (1998) from the University of Padova and a PhD in Electronic Devices (2003) from the University of Trento. His research focuses on biomedical signal processing, information dynamics, and physiological networks. He has held positions at institutions such as the Bruno Kessler Foundation, University of Trento, and has been a visiting researcher in the USA, Belgium, and Brazil. A recipient of multiple awards, including the IEEE Senior Member recognition, Prof. Faes has been named among the World’s Top 2% Scientists by Stanford University. He actively contributes to academic programs, Erasmus+ initiatives, and editorial boards in biomedical engineering.

Publication Profile

Scopus

Orcid

Education

Prof. Luca Faes earned his Master’s degree (Italian Laurea) in Electronic Engineering cum laude from the University of Padova, Italy, in 1998 ⚙️. He then pursued a PhD in Electronic Devices at the University of Trento, Italy, in 2003 🏅. His academic journey laid the foundation for his expertise in biomedical engineering, signal processing, and complex system analysis 📡. With a strong background in electronic systems and bioengineering applications, he has made significant contributions to research and academia, shaping the field of biomedical signal processing and physiological network dynamics 🔬📊.

Professional Experience

Prof. Luca Faes has had a distinguished career in biomedical engineering and bioinformatics. He began as a Research Fellow (1999-2000) at ITC-irst, Trento, followed by a PhD at the University of Trento (2000-2003) 🎓. He held postdoctoral positions (2003-2013) at Trento’s Biophysics and BIOtech labs 🧬. Later, he became a Researcher (2014-2017) at FBK and Professor at the University of Palermo (2018-present) 🏅. His global research collaborations span USA, Belgium, and Brazil 🌍. Recognized as an IEEE Senior Member (2019) and among the World’s Top 2% Scientists (2021-2022), he is an esteemed expert in bioengineering and complex systems ⚙️📊.

Academic Contributions

Prof. Luca Faes has played a pivotal role in academic development and international collaborations. He has been a Doctorate Committee Member at CiMeC, University of Trento (2016-2017) and later at Palermo’s ICT Department (2018-present) 📚. He co-organized the Biomedical Engineering Master’s Program and serves as Vice Coordinator & Tutor for the Bachelor’s Program 🎓. As an Erasmus+ Coordinator, he has fostered partnerships with universities across Europe 🌍. He also leads the Biomedical Information Technologies Curriculum (2021-present) and organizes seminars with global scholars, strengthening biomedical and cybernetics engineering education 📡📊.

Teaching Contributions

Prof. Luca Faes has been actively involved in teaching since 1999, starting as a Teaching Assistant in General Physics II and Signal & Image Processing at the University of Trento 🎓. He has delivered specialized courses internationally, including Brazil 🇧🇷 (2015), IEEE MOOC (2016), and Portugal 🇵🇹 (2017). Since 2018, he has been a Tenured Professor at the University of Palermo, teaching Sensors, Biomedical Devices, and Statistical Analysis of Biomedical Signals 📊. His expertise in biomedical signal processing and sensor technology continues to shape future engineers in cybernetics and biomedical fields 🤖🔬.

🧠 Research Focus

Prof. Luca Faes specializes in computational neuroscience, biomedical engineering, and physiological signal processing. His research focuses on brain-heart interactions ❤️🧠, nonlinear dynamics 🔄, entropy measures 📊, and causal inference in physiological systems. He applies Granger causality and transfer entropy to analyze cardiovascular variability, cerebrovascular function, and neural synchronization. His work contributes to wearable health technology ⌚, autonomic regulation studies, and physiological stress assessment ⚡. He collaborates on machine learning 🤖 and high-order statistical modeling for biomedical applications. His interdisciplinary approach bridges neuroscience, physics, and AI-driven healthcare solutions. 🌍✨

Publication Top Notes

📄 Measures and Models of Brain-Heart Interactions – IEEE Reviews in Biomedical Engineering, 2025  🧠❤️

📄 Chaotic Dynamics and Synchronization under Tripartite Couplings – Chaos, Solitons and Fractals, 2024  🔄⚡

📄 Comparison of Feature Selection Methods for Physiological Stress Classification – Physiological Measurement, 2024  📊📈

📄 Disentangling High-Order Effects in Transfer Entropy – Physical Review Research, 2024 | 3 citations 🔗📡

📄 Assessing Granger Causality in Cerebrovascular Variability – IEEE Transactions on Biomedical Engineering, 2024 | 2 citations 🏥🧠

📄 Entropy Rate Measures for Time Series Complexity – Biocybernetics and Biomedical Engineering, 2024 | 4 citations 🔢📉

📄 Wearable Ring-Shaped Biomedical Device for Physiological Monitoring – Biosensors, 2024 | 3 citations ⌚📡

📄 Describing Cerebral Autoregulation via State Space Methods – Conference Paper, 2024 🏥📈

📄 Decomposing Transfer Entropy in Cardiovascular Interactions – Conference Paper, 2024 ❤️📊

📄 Gender Differences in Cardiovascular Variability Entropy – Conference Paper, 2024  🚻🫀

 

Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Kiyohisa KAMIMURA | Neuroscience | Best Researcher Award

Assoc. Prof. Dr. Kiyohisa KAMIMURA, Kagoshima University Graduate School of Medical and Dental Sciences, Japan

Dr. Kiyohisa Kamimura is a renowned radiologist and Specially Appointed Associate Professor at the Department of Advanced Radiological Imaging, Kagoshima University, Japan. He holds an M.D. and Ph.D. from Kagoshima University, with over two decades of experience in radiology, including leadership roles such as Chief Radiologist at Kirishima Medical Center. Dr. Kamimura is a board-certified member of multiple prestigious radiology societies, specializing in advanced imaging techniques. His active research collaborations with Shin Nippon Biomedical Laboratories (SNBL) highlight his commitment to medical innovation. He is recognized for his expertise in neuroradiology and magnetic resonance imaging. 🌟📡

 

Publication Profile

Orcid

Education Journey

Dr. Kiyohisa Kamimura pursued his extensive medical education at Kagoshima University, Japan. He began with a premedical program (1992–1994) before advancing to an undergraduate degree in medicine (1994–1998). He further honed his expertise by completing an M.D. and Ph.D. at Kagoshima University Graduate School of Medical and Dental Science (2000–2008). His academic journey reflects a steadfast dedication to medical excellence and radiological research, laying the foundation for his impactful career in advanced imaging and radiology. 🩺📖

 

Professional Experience

Dr. Kiyohisa Kamimura has an illustrious career in radiology spanning over two decades. Starting at Kagoshima University Medical and Dental Hospital (1998–2000), he worked at several esteemed institutions, including Kagoshima Prefectural Oshima Hospital and Nanpuh Hospital. He served as Chief Radiologist at Kirishima Medical Center (2013–2014) and Assistant Professor at Kagoshima University (2014–2023). Currently, he is a Specially Appointed Associate Professor in the Department of Advanced Radiological Imaging at Kagoshima University. His roles demonstrate expertise in radiology and a commitment to advancing medical imaging technologies. 🌟📡

 

Research Focus

Dr. Kiyohisa Kamimura specializes in advanced radiological imaging, with a focus on brain and tumor imaging. His research includes time-dependent MRI diffusion for differentiating pituitary tumors, glioblastomas, brain metastases, and primary CNS lymphomas. He also explores MR amide proton transfer imaging and dynamic contrast-enhanced MRI for tumor evaluation. Dr. Kamimura’s work contributes significantly to neuroimaging, oncology diagnostics, and imaging biomarkers. His expertise extends to pancreatic ductal adenocarcinoma imaging and intravoxel incoherent motion studies in the pituitary gland, advancing precision diagnostics and treatment planning. 🌟🩺📈

 

Publication Top Notes 📚

 

  • Time‐dependent MR diffusion analysis of functioning and nonfunctioning pituitary adenomas/pituitary neuroendocrine tumors (2025) – DOI: 10.1111/jon.13254 🧠📅
  • Differentiating primary CNS lymphoma from glioblastoma by time-dependent diffusion using oscillating gradient (2023) – DOI: 10.1186/s40644-023-00639-7 🧠📈
  • Differentiating brain metastasis from glioblastoma by time-dependent diffusion MRI (2023) – DOI: 10.1186/s40644-023-00595-2 🧠🔍
  • Differentiation of hemangioblastoma from brain metastasis using MR amide proton transfer imaging (2022) – DOI: 10.1111/jon.13019 🩻🔬
  • Consistency of Pituitary Adenoma: Prediction by Pharmacokinetic Dynamic Contrast-Enhanced MRI (2021) – DOI: 10.3390/cancers13153914 🧠⚡
  • Visual enhancement pattern during the delayed phase of enhanced CT as a prognostic factor in stage IV pancreatic ductal adenocarcinoma (2020) – DOI: 10.1016/j.pan.2020.07.009 🩺✨
  • Large Intraosseous Schwannoma in Petrous Apex Presenting with Intratumoral Hemorrhage (2019) – DOI: 10.1016/j.wneu.2019.07.179 🦴🩹
  • Amide proton transfer imaging of tumors: theory, clinical applications, pitfalls, and future directions (2019) – DOI: 10.1007/s11604-018-0787-3 🔍💡
  • Intravoxel Incoherent Motion in Normal Pituitary Gland: Initial Study with Turbo Spin-Echo Diffusion-Weighted Imaging (2016) – DOI: 10.3174/ajnr.A4930 🧠🌀
  • Contrast-enhanced CT and diffusion-weighted MR imaging as prognostic factors in pancreatic ductal adenocarcinoma (2014) – DOI: 10.1016/j.ejrad.2013.12.016 🩻📊

 

Rodolfo Pinto Almazán | Neuropharmacology | Best Researcher Award

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Dr. Rodolfo Pinto Almazán | Neuropharmacology | Best Researcher Award

Dr. Rodolfo Pinto Almazán, Escuela Superior de Medicina, IPN, Mexico

Dr. Rodolfo Pinto Almazán is a prominent researcher and professor specializing in biomedical sciences and pharmacology. Currently a Level II member of the National System of Researchers (SNI) and a professor at the Instituto Politécnico Nacional (IPN), Mexico, he has made significant contributions to metabolic and neurodegenerative disease research. With a postdoctoral fellowship at USC and Children’s Hospital Los Angeles, Dr. Pinto has authored groundbreaking studies on oxidative stress and brain function. His honors include the Best Research Manuscript Award (2023) and multiple accolades for his impactful research. 📚🔬👨‍🔬🎓

Publication Profile

Scopus

Research Experience and Achievements

Dr. Rodolfo Pinto Almazán is a distinguished researcher with extensive experience in biomedical sciences. He has been a member of the National System of Researchers (SNI) since 2016, currently at Level II. Dr. Pinto is a professor at the Instituto Politécnico Nacional (IPN) and has worked in various prestigious roles, including postdoctoral research at the University of Southern California (USC) and Children’s Hospital Los Angeles. He has contributed significantly to the study of metabolic and neurodegenerative diseases. His career includes multiple research fellowships and awards. 📚🔬🎓👨‍🔬

Educational Background

Dr. Rodolfo Pinto Almazán holds a distinguished academic background in biomedical sciences. He completed his postdoctoral fellowship at the Keck School of Medicine, USC, and Children’s Hospital Los Angeles (2016–2017), studying sex differences in the central nervous system due to early-life stress. He earned his Ph.D. in Biomedical Sciences from the National Autonomous University of Mexico (UNAM) in 2014, focusing on oxidative stress in the hippocampus. Dr. Pinto also holds a Master’s degree in Pharmacology from the Instituto Politécnico Nacional (IPN), where he studied tau protein activation. His Bachelor’s degree in Pharmaceutical Chemistry was awarded by La Salle University, Mexico. 🎓🔬📚👨‍🔬

Technical Experience

Dr. Rodolfo Pinto Almazán possesses extensive technical expertise in histological and molecular techniques. He is skilled in cryosectioning, immunohistochemistry, and cellular staining. His molecular techniques include DNA/RNA extraction, PCR, ELISA, and Western Blot. Dr. Pinto is proficient with laboratory equipment such as HPLC, NanoDrop, cryostats, thermal cyclers, histoquinescence, and both confocal and optical microscopes. He has hands-on experience with animal handling, including injections, surgeries, ovariectomies, and behavioral tests like the Plus Maze and Morris Water Maze. He also excels in laboratory management, overseeing training, budgeting, and protocol optimization. 🧪🔬🧑‍🔬🐁💻

Teaching Experience

Dr. Rodolfo Pinto Almazán has extensive teaching experience across various levels. He served as an invited professor for the “Molecular Bases of Neurological Diseases” course in the Doctoral program in Biomedical Sciences at UNAM in 2017. He has also taught multiple courses in the Master’s program in Health Sciences at the Escuela Superior de Medicina (ESM, IPN) including Clinical Research, Bioethics, and Biostatistics. In addition, Dr. Pinto has taught Medical Residency courses in Pharmacology, Biochemistry, and Research Methodology at institutions like HRAEI, UAEH, and IMSS. His undergraduate teaching spans subjects like Biochemistry, Cellular Biology, and Pharmacology at UVM, demonstrating his wide-ranging expertise in medical and health sciences education. 📚🧑‍🏫💉

Research Focus

Dr. Rodolfo Pinto Almazán’s research focuses primarily on medical mycology, neuroprotection, and metabolic health. His work explores the neuroprotective effects of sex steroids in spinal cord injury, the virulence factors of fungi like Microsporum canis and Nakaseomyces glabratus, and their association with various skin diseases. Additionally, his research includes investigating metabolic disorders, inflammation, and the effects of omega-3 fatty acids in COVID-19 patients. His contributions span topics such as trauma, fungal infections, and neurodegenerative conditions, emphasizing the importance of therapeutic interventions. 🔬🧠🦠🧑‍🔬

Publication Top Notes 

  • Effect of Chronic Tibolone Administration on Memory and Choline Acetyltransferase and Tryptophan Hydroxylase Content in Aging Mice – Castillo-Mendieta, T., Bautista-Poblet, G., Coyoy-Salgado, A., Neri-Gómez, T., Guerra-Araiza, C. (2024) 🧠📚 – 0 citations
  • Mortality-Associated Factors in a Traumatic Brain Injury Population in Mexico – Martínez-Herrera, E., Galindo-Oseguera, E., Castillo-Cruz, J., Arellano-Ramírez, A., Pinto-Almazán, R. (2024) ⚠️💀 – 0 citations
  • Evaluating Sex Steroid Hormone Neuroprotection in Spinal Cord Injury in Animal Models: Is It Promising in the Clinic? – Coyoy-Salgado, A., Segura-Uribe, J., Salgado-Ceballos, H., Moralí de la Brena, G., Guerra-Araiza, C. (2024) 🧠💉 – 0 citations
  • Cutaneous Fusarium Disease and Leukaemias: A Systematic Review – Cortés-López, P.N., Guzmán-Montijo, E., Fuentes-Venado, C.E., Pinto-Almazán, R., Martínez-Herrera, E. (2024) 🦠🩺 – 0 citations
  • Fungal Melanonychia: A Systematic Review – Rodríguez-Cerdeira, C., Martínez-Herrera, E., Cortés-López, P.N., Vega-Sánchez, D.C., Pinto-Almazán, R. (2024) 🦠💅 – 2 citations
  • Remarkable Phenotypic Virulence Factors of Microsporum canis and Their Associated Genes: A Systematic Review – Vite-Garín, T., Estrada-Cruz, N.A., Hernández-Castro, R., Martínez-Herrera, E., Pinto-Almazán, R. (2024) 🦠💪 – 4 citations
  • Virulence and Resistance Factors of Nakaseomyces glabratus (formerly known as Candida glabrata) in Europe: A Systematic Review – Rodríguez-Cerdeira, C., Pinto-Almazán, R., Saunte, D.M.L., Prohic, A., Martínez-Herrera, E. (2024) 🦠🔬 – 1 citation
  • Effectiveness of Omega-3 Fatty Acid Supplementation in Improving the Metabolic and Inflammatory Profiles of Mexican Adults Hospitalized with COVID-19 – Rodríguez-Vera, D., Salazar, J.R., Soriano-Ursúa, M.A., Loza-Mejía, M.A., Pinto-Almazán, R. (2024) 🐟💪 – 1 citation
  • In Silico and In Vivo Evaluation of the Maqui Berry (Aristotelia chilensis (Mol.) Stuntz) on Biochemical Parameters and Oxidative Stress Markers in a Metabolic Syndrome Model – Castillo-García, E.L., Cossio-Ramírez, A.L., Córdoba-Méndez, Ó.A., Gallardo, J.M., Guerra-Araiza, C. (2023) 🍇⚖️ – 0 citations
  • Main Phenotypic Virulence Factors Identified in Trichophyton Rubrum – Martínez-Herrera, E., Moreno-Coutiño, G., Fuentes-Venado, C.E., Pinto-Almazán, R., Rodríguez-Cerdeira, C. (2023) 🦠🦶 – 3 citations