Greta Petrella has completed his Ph.D. in Chemistry from the University of Rome “Tor Vergata” and is presently a postdoctoral research fellow at the same university. Her Ph.D. thesis received the “GIDRM Ph.D. Graduate Award – 2021”. She has published 11 papers in reputed journals and coordinates the activity of the research team of the NMR Laboratory.

Analytical Techniques in Metabolomics

Bo Cao has his expertise in mechanism exploration of metabolic reprogramming and gastric cancer development. His findings uncover the mechanistic associations between glucose, lipid metabolism and cancer progression, further enriching the proof for the hypothesis of metabolism-driven cancer initiation and progress. They also provide novel diagnostic biomarkers, prognostic factors and therapeutic targets for clinical practice of gastric cancer. The regulatory relationships between noncoding RNAs and critical enzymes by the existing studies of Bo Cao.

Cancer Metabolomics

Ilya B. Tsyrlov Proffesor at Icahn School of Medicine at Mount Sinai, New York, USA

Anti-idiotypic antibody

Anil Batta is a professor at Mm Institute of Medical Sciences and Research at India

Metabolomics

Vladimir Tolstikov, Ph.D., is Director of Metabolomics at BERG. He received B.S. and M.S in Organic Chemistry in 1977 from M.V. Lomonosov Institute of Fine Chemical Technology, in Moscow, Russia. He received Ph.D. in Organic Chemistry in 1983 from the Institute of Chemical Means for Plant Protection, Moscow, Russia. He is a pioneer in HILIC separations development applied to Metabolomics. During his career he was working in leading research institutions in USA, Germany, Hungary and Russian Federation. He has joined Eli Lilly and Company in 2012. He is author contributor and participant of 45 conferences, 5 book chapters, and 54 articles

Metabolomics, Systems Biology

Gerald C. Hsu received an honorable PhD in mathematics and majored in engineering at MIT. He attended different universities over 17 years and studied seven academic disciplines. He has spent 20,000 hours in T2D research. First, he studied six metabolic diseases and food nutrition during 2010-2013, then conducted research during 2014-2018. His approach is “math-physics and quantitative medicine” based on mathematics, physics, engineering modeling, signal processing, computer science, big data analytics, statistics, machine learning, and AI. His main focus is on preventive medicine using prediction tools. He believes that the better the prediction, the more control you have.

Preventive medicine using prediction tools

Dr. Bryan earned his undergraduate Bachelor of Science degree in Biochemistry from the University of Texas at Austin and his doctoral degree from Louisiana State University School of Medicine in Shreveport where he was the recipient of the Dean’s Award for Excellence in Research. He pursued his post-doctoral training as a Kirschstein Fellow at Boston University School of Medicine in the Whitaker Cardiovascular Institute. After a two year post-doctoral fellowship, in 2006 Dr. Bryan was recruited to join faculty at the University of Texas Health Science Center at Houston by Ferid Murad, M.D., Ph.D., 1998 Nobel Laureate in Medicine or Physiology. During his tenure as faculty and independent investigator at UT, his research focused on drug discovery through screening natural product libraries for active compounds.

Biochemistry

Petra Perner is the founder and director of the Institute of Computer Vision and Applied Computer Sciences in Leipzig, Germany. Under her leadership the institute developed to one of the leading institutes in basic and applied research in computer vision, data mining, machine learning, case-based reasoning and image databases. She received a diploma degree in electrical engineering in 1981 and a PhD degree in computer science in 1985. In 1989 she finished her habilitation entitled “A Methodology for the Development of Knowledge-Based Image-Interpretation Systems”. Under her guidance highly qualified national and international personnel got trained in the above mentioned high-technology fields through research projects and education programs.

Research Interest Applied Computer Science, Data Mining

Leads scientific laboratory using structural biology tools including NMR spectroscopy to discover protein ligands, functions and exploitation routes. Specialization in proteins involved in membrane recognition, genetic diseases, oncoproteins and microbial pathogenesis. Interests in drug discovery, membrane nanoparticles, and technologies for understanding and exploiting interactions of proteins and organelles.

structural biology, NMR spectroscopy, drug discovery, cancer mechanisms, SME collaborations, industrial partnerships, scientific infrastructure, regional and city strategic development

Dr. Vladimir Bondarenko is Assistant Professor at Georgia State University, USA. He did his Ph.D. Physics and Mathematics, Moscow State University , Russia , 1990. Dr. Bondarenko's research interests include dynamical systems, neuronal and cardiac cell models, neural networks, models of cardiac arrhythmias, ion channel models.

Systems Biology