Assoc. Prof. Dr. Jessica Fleming | Molecular Biomarkers | Best Researcher Award

Assoc. Prof. Dr. Jessica Fleming | Molecular Biomarkers | Best Researcher Award

The Ohio State University, United States.

Dr. Jessica L. Fleming, PhD, is an accomplished radiobiologist at the James Comprehensive Cancer Center, The Ohio State University. With over a decade of experience in translational oncology research, she specializes in molecular biomarkers and radiation therapy innovations. Dr. Fleming plays a key role in collaborative clinical and research initiatives, especially in glioma and FLASH radiotherapy. She is also a co-founder and former CEO of the Cap City Biohackers, demonstrating her entrepreneurial edge in biomedical innovation.

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πŸŽ“ Education

Dr. Fleming earned her PhD in Molecular, Cellular, and Developmental Biology from The Ohio State University in 2012, following a BS in Biology, Cum Laude, from Ashland University in 2006. Her strong academic foundation was supported by multiple fellowships and research opportunities during her undergraduate and graduate studies.

πŸ§ͺ Experience

Dr. Fleming currently serves as an Associate Radiobiologist at OSU, working with Dr. Arnab Chakravarti. Her journey at OSU began as a graduate student, advancing through postdoctoral research and senior research associate roles. She has led cutting-edge radiobiological studies and was integral to several major clinical protocols. Beyond academia, she was the CEO and Co-Founder of Cap City Biohackers, reflecting her commitment to science outreach and innovation.

πŸ”¬ Research Interests

Radiation oncology and molecular oncology, particularly adult gliomas and biomarkers

FLASH radiotherapy, clinical translation, and toxicity modeling

Tumor heterogeneity and resistance mechanisms

Translational research bridging lab discoveries and patient care

πŸ† Awards & Honors

πŸ₯‡ 2024 ASTRO Annual Meeting Abstract Award

πŸ… Columbus CEO Future 50 Award (2020)

πŸŽ– Best of ASTRO & Basic/Translational Science Abstract Award (2018)

πŸŽ“ Alumni Grants for Graduate Research (2012)

🧬 NSF REU Fellow (2005)

🌟 Track & Field Athletic Scholar and Presidential Scholar (2002–2006)

πŸ“š Selected Publications

Here are some of Dr. Fleming’s key publications, with citation and access details:

Fleming JL et al. (2025) – Comprehensive Molecular Analysis in NRG Oncology/RTOG 9813 – Int J Radiat Oncol Biol Phys (Accepted)

Manring HR, Fleming JL et al. (2025) – FLASH Radiotherapy: From In Vivo Data to Clinical Translation – Hematol Oncol Clin N Am (PMID: 39828472)

Fleming JL, Chakravarti A. (2025) – Molecular Biomarkers in Adult Lower-Grade Gliomas – Cancer J, 31(1): e0758. (PMID: 39841423)
➀ Cited by: 2 articles

Kotecha R, Schiff D, Chakravarti A, Fleming JL et al. (2024) – Management of IDH-Mutated Gliomas – J Clin Oncol, 42(21): 2588-2598. (PMID: 38833641)
➀ Cited by: 15 articles

Becker AP, Becker V, McElroy J, Fleming J et al. (2024) – HMGB2 as Biomarker in Astrocytomas – Cancers (Basel), 16(8): 1516. (PMID: 38672598)
➀ Cited by: 7 articles

Dr. Juan S. Barajas-Gamboa | Obesity Surgery | Best Researcher Award

Dr. Juan S. Barajas-Gamboa | Obesity Surgery | Best Researcher Award

Cleveland Clinic Abu Dhabi, United Arab Emirates.

Juan S. Barajas-Gamboa is an accomplished Adjunct Clinical Professor of Surgery and Research Scholar with over 15 years of expertise in academic medicine, medical education, and strategic program development. His work spans clinical research, innovative teaching, and securing significant research funding. Passionate about fostering global research collaborations and mentoring future medical professionals, he has contributed extensively to medical education and research advancements in the Middle East and beyond.

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Education πŸŽ“

Dr. Juan S. Barajas-Gamboa began his academic journey at Colegio La Salle in Bucaramanga, Colombia, where he earned a Bachelor of Science in Biology in November 2002. Pursuing his passion for medicine, he completed a medical internship at the Universidad TecnolΓ³gica de Pereira, Hospital Universitario San Jorge, Colombia, in July 2009. Shortly thereafter, he further enriched his clinical experience by undertaking a medical internship at the University of California, San Diego (UCSD) in June 2010. He earned his Doctor of Medicine (M.D.) degree in Medicine and Surgery from the Universidad AutΓ³noma de Bucaramanga, Colombia, in July 2010. Following this, Dr. Barajas-Gamboa advanced his research career as a Postdoctoral Fellow in Translational and Clinical Research at UCSD, completing the program in December 2011, and continued as a Postdoctoral Fellow in Clinical Research at the same institution until July 2013.

Experience 🩺

Dr. Juan S. Barajas-Gamboa currently serves as an Adjunct Clinical Professor of Surgery at Khalifa University, UAE (2021–Present), where he focuses on developing research-driven curricula, mentoring faculty, and promoting research excellence. Since 2018, he has also been a Research Scholar at Cleveland Clinic Abu Dhabi, UAE, where he leads groundbreaking research in bariatric surgery, metabolic disorders, and personalized medicine, having successfully secured over $1.3 million in research grants. Between 2010 and 2018, Dr. Barajas-Gamboa held various research and teaching positions at institutions including UCSD and Universidad Industrial de Santander, concentrating on clinical and translational research to advance medical knowledge and practice.

Research Interests πŸ”¬

Minimally invasive and robotic surgery

Bariatric and metabolic surgery

Surgical oncology

Precision medicine and patient-specific treatments

Innovations in medical education

Awards & Honors πŸ†

2023: Research Scholar of the Year, Cleveland Clinic Abu Dhabi

2022: IFSO MENAC Research Scholarship, Saudi Arabia

2021: Best Abstract, Emirates Diabetes and Endocrine Congress, UAE

2009: Honorary Mention, UNAB School of Medicine

2003: Scholarship for Best Results in ICFES Examination, UNAB, Colombia

Selected Publications πŸ“š

Conversion of One-Anastomosis Gastric Bypass to Roux-En-Y Gastric Bypass: Mid-Term Results from the United Arab Emirates

Authors: Alshamsi, A., Barajas-Gamboa, J.S., Piechowska-JΓ³ΕΊwiak, M.I., Kroh, M., Rodriguez, J.

Journal: Surgical Endoscopy, 2025, 39(1), pp. 417–424, e13314.

Focuses on outcomes of surgical conversion procedures in bariatric patients in the UAE.

Impact of the COVID-19 Lockdown on Primary Bariatric Surgery: A Comparative Study of Weight Loss Trajectories and Perioperative Outcomes

Authors: Barajas-Gamboa, J.S., Khan, M.S.I., Romero-Velez, G., Kroh, M., Rodriguez, J.H.

Journal: Journal of Laparoendoscopic and Advanced Surgical Techniques, 2024, 34(12), pp. 1107–1110.

Analyzes the effects of the pandemic on bariatric surgical outcomes and weight-loss progress.

Management of Abdominal Wall Hernias in Bariatric Patients: A Narrative Review

Authors: Restrepo-Rodas, G., Barajas-Gamboa, J.S., Fuentes, J.L.G., Vargas-Cordova, R., GuerrΓ³n, A.D.

Journal: Annals of Laparoscopic and Endoscopic Surgery, 2024, 9.

Explores surgical management strategies for abdominal wall hernias in patients undergoing bariatric surgery.

Diastasis Recti with Concomitant Ventral Hernia Repair: An Initial Experience in the United Arab Emirates Population

Authors: Guerron, A.D., Restrepo-Rodas, G., Barajas-Gamboa, J.S., Cherubino, M., Rodriguez, J.

Journal: Journal of Laparoendoscopic and Advanced Surgical Techniques, 2024, 34(10), pp. 904–909.

Reports on the outcomes of managing diastasis recti alongside hernia repair in UAE patients.

Pain Assessment and Analgesic Requirements after Sleeve Gastrectomy: A Comparison Study of Robotic versus Laparoscopic Approaches

Authors: Barajas-Gamboa, J.S., Ihsan Khan, M.S., Mocanu, V., Kroh, M., Corcelles, R.

Journal: Journal of Clinical Medicine, 2024, 13(17), 5168.

Compares pain management outcomes between robotic and laparoscopic techniques in sleeve gastrectomy.

 

 

Prof. Junyu Zhou | Medical and Prevention | Young Scientist Award

Prof. Junyu Zhou | Medical and Prevention | Young Scientist Award

Peking University, China.

Prof. Junyu Zhou is a pioneering researcher in nutritional genomics, metabolic disorders, and personalized medicine. He leverages bioinformatics, computational biology, and experimental approaches to explore gene-diet interactions, focusing on Asian populations. His innovative work includes developing AI models for bioactive compound prediction and uncovering gut microbiota's role in metabolic health. Junyu's recent research extends to natural compound discovery for neurodegenerative diseases, emphasizing computational screening with advanced AI techniques.

Profile

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Orcid

Education πŸŽ“

Junyu Zhou holds advanced degrees in fields related to nutritional genomics and computational biology. His academic training provides a strong foundation for his cutting-edge research in metabolic disorders and personalized medicine.

Experience πŸ’Ό

As an Assistant Researcher at Peking University, Junyu Zhou has led and collaborated on multiple groundbreaking projects. His experience spans computational modeling, experimental validations, and interdisciplinary collaborations with global research teams in metabolic diseases and nutritional genomics.

Research Interests πŸ”¬

Nutritional Genomics 🧬

Junyu Zhou investigates gene-diet interactions to understand how genetic variations influence nutritional responses, particularly in Asian populations. His work aims to develop personalized dietary recommendations to improve health outcomes.

Metabolic Diseases 🩺

Focusing on conditions such as diabetes and obesity, Junyu studies the underlying mechanisms of metabolic disorders. His research integrates genetics and gut microbiota to unveil new therapeutic targets.

Computational Biology & Bioinformatics πŸ’»

Junyu applies advanced computational tools to analyze genetic data and predict drug-target interactions. His expertise in bioinformatics helps bridge data science and biology for innovative discoveries.

Gut Microbiota 🌱

Exploring the role of gut microbiota in metabolic health, Junyu's research uncovers microbial contributions to diseases and identifies probiotic strategies for improved metabolic functions.

Natural Product Research 🌿

Junyu's work includes computational screening of natural compounds, focusing on their potential to treat diseases such as Alzheimer's and neurodegenerative disorders.

Personalized Medicine 🩹

By integrating genomics and computational biology, Junyu develops precision healthcare approaches, tailoring interventions to individual genetic and metabolic profiles.

Machine Learning in Drug Discovery πŸ€–

Junyu employs AI-driven techniques to streamline drug discovery processes. His work includes predictive models for bioactive compounds, enhancing efficiency in identifying new therapeutic agents.

Publications Top Notes πŸ“š

Microbial Dysbiosis Linked to Metabolic Dysfunction-Associated Fatty Liver Disease in Asians: Prevotella copri Promotes Lipopolysaccharide Biosynthesis and Network Instability in the Prevotella Enterotype, Published in: International Journal of Molecular Sciences, 2024, Contributors: Yuan, H.; Wu, X.; Wang, X.; Zhou, J.-Y.; Park, S. Link

Predicting structure-targeted food bioactive compounds for middle-aged and elderly Asians with myocardial infarction: insights from genetic variations and bioinformatics-integrated deep learning analysis, Published in: Food & Function, 2024, Contributors: Junyu Zhou; Heng Yuan; Sunmin Park. Link

Association of Metabolic Diseases and Moderate Fat Intake with Myocardial Infarction Risk, Published in: Nutrients, December 11, 2024, Contributors: Junyu Zhou; Meiling Liu; Sunmin Park. Link

 

 

 

 

 

 

 

 

 

 

 

 

Xiaochun Li | Biomedical | Best Researcher Award

Prof Dr. Xiaochun Li | Biomedical | Best Researcher Award

Associate Dean, Taiyuan University of Technology, China

Dr. Xiaochun Li is a Professor at the Department of Biomedical Engineering, TaiYuan University of Technology, Shanxi, China. With an extensive background in biomedical sensors and analytical chemistry, Dr. Li has made significant contributions to the field through innovative research and teaching. He has received multiple awards for his work, including the Second Prize of the Shanxi Provincial Natural Science Award and recognition as the “2021 Annual Science and Technology Innovation Person.” His research focuses on developing cutting-edge technologies for disease diagnosis and public health.

Profile

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Education πŸŽ“

Dr. Xiaochun Li earned his Ph.D. in Biomedical Engineering, specializing in analytical chemistry and sensor technology. His educational journey laid a strong foundation for his future research and academic career, leading to his current position as a professor at TaiYuan University of Technology.

Experience πŸ§‘β€πŸ«

Professor, TaiYuan University of Technology, Shanxi, China (2014-present): Leading research in biomedical sensors and analytical chemistry.

Associate Professor, TaiYuan University of Technology, Shanxi, China (2009-2014): Conducted advanced research and taught various courses.

Assistant Professor, TaiYuan University of Technology, Shanxi, China (2007-2009): Initiated his academic career, focusing on innovative research in biomedical engineering.

Research Interests πŸ”¬

Dr. Xiaochun Li’s research interests encompass the development of biomedical sensors, optical fluorescence detection technologies, and AI-enhanced biochemical sensing. His work is particularly focused on creating innovative diagnostic tools for early disease detection and public health applications.

Awards πŸ†

Second Prize of Shanxi Provincial Natural Science Award (2022)

Outstanding Science and Technology Worker of China Society of Electronics (2019)

Silver Prize of National Science and Technology Workers’ Innovation and Entrepreneurship Competition (2016)

Young Outstanding Talents of Shanxi Province β€œThree Jin Talents” (2018)

2021 Annual Science and Technology Innovation Person (2022)

Publications Top Notes πŸ“š

Zhang, L. L., Xu, P. T., Li, X. C., Yang, Z. H., Yu, H.-Z.. (2024). Blu-ray disc technology-enabled portable imaging system for immunoassay quantitation. Sens. Actuat. B-Chem., 419, 136376. Cited by 15 articles. link

Wang, C. X., Deng, R., Li, H. Q., Liu, Z. G., Niu, X. F., Li, X. C.. (2024). An integrated magnetic separation enzyme-linked colorimetric sensing platform for field detection of Escherichia coli O157: H7 in food. Microchimica Acta, 191, 454. Cited by 10 articles. link

Li, H. Q., Xu, H., Li, Y. L., Li, X. C.*. (2024). Application of artificial intelligence (AI)-enhanced biochemical sensing in molecular diagnosis and imaging analysis: Advancing and challenges. Trac-Trend. Anal. Chem., 174, 117700. Cited by 12 articles. link