Davide Guido - Biostatistics/Bioinformatics - Best Researcher Award

National Institute of Gastroenterology - Italy

AUTHOR PROFILE

SCOPUS

DR. DAVIDE GUIDO 🎓

Dr. Davide Guido is an esteemed researcher and expert in the field of Experimental Studies, focusing on various study designs such as randomized clinical trials, cross-over trials, and adaptive designs. His contributions to the scientific community include determining relative sample sizes for different research methodologies, enabling more effective and reliable outcomes in clinical research. His work is vital for understanding complex interventions and ensuring that studies yield meaningful results.

OBSERVATIONAL STUDIES 📊

In the realm of Observational Studies, Dr. Guido conducts comprehensive analyses of cross-sectional, case-control, and cohort designs. His expertise extends to propensity score matching and sample size determination, which are critical for reducing bias and improving the validity of observational research findings. His dedication to these methodologies enhances our understanding of health trends and outcomes in various populations.

REGRESSION ANALYSIS 📈

Dr. Guido's work in Regression Analysis encompasses a wide array of techniques, including generalized linear models and time series regression. He employs sophisticated methods such as quantile regression and spline regression to uncover relationships in complex datasets. His findings contribute significantly to the fields of epidemiology and public health, providing insights that inform policy and practice.

PREDICTIVE ANALYSIS 🔍

Through his expertise in Predictive Analysis, Dr. Guido utilizes supervised and unsupervised methods, including random forests and penalized regression modeling. His work in classification and clustering enables researchers to make informed predictions based on data patterns. By integrating these techniques, he enhances the ability to forecast outcomes in health-related research and beyond.

BAYESIAN ANALYSIS 🔮

Dr. Guido applies Bayesian Analysis to tackle challenges in statistical modeling, particularly in spatial-temporal contexts. His innovative approaches facilitate understanding complex phenomena, allowing for more accurate predictions and inferences. This area of research plays a pivotal role in enhancing the robustness of scientific conclusions drawn from data.

SPATIAL STATISTICS 🗺️

In Spatial Statistics, Dr. Guido explores geostatistical modeling and geographically weighted regression. His investigations into lattice data modeling contribute to the understanding of spatial patterns and relationships within data. This research is essential for addressing public health concerns and environmental challenges that exhibit spatial characteristics.

COLLABORATIVE RESEARCH 🤝

Dr. Guido has actively collaborated on several influential studies, including investigations into the effects of dietary interventions in children with refractory epilepsy and the impact of COVID-19 on oncological care. His contributions to these studies reflect his commitment to advancing medical knowledge and improving patient outcomes. By working with multidisciplinary teams, he helps bridge gaps in research and practice, promoting innovative solutions in healthcare.

NOTABLE PUBLICATION

Title: Glycemic Index and Amylose Content of 25 Japonica Rice Italian Cultivar
Authors: M. Rondanelli, F. Haxhari, C. Gasparri, S. Feccia, S. Perna
Year: 2023
Journal: Starch/Staerke, 75(9-10), 2300031
Cited by: 1

Title: The Glycemic Index of Indica and Japonica Subspecies Parboiled Rice Grown in Italy and the Effect on Glycemic Index of Different Parboiling Processes
Authors: M. Rondanelli, R.A. Ferrario, G.C. Barrile, A. Tartara, S. Perna
Year: 2023
Journal: Journal of Medicinal Food, 26(6), pp. 422–427
Cited by: 0

Title: Discovering the Physio-Pathological Mechanisms of Interaction between Bone Mineral Density, Muscle Mass, and Visceral Adipose Tissue in Female Older Adults through Structural Equation Modeling
Authors: S. Perna, C. Gasparri, S. Allehdan, T.A. Alalwan, M. Rondanelli
Year: 2023
Journal: Journal of Clinical Medicine, 12(6), 2269
Cited by: 3

Title: Endosperm structure and Glycemic Index of Japonica Italian rice varieties
Authors: F. Haxhari, F. Savorani, M. Rondanelli, S. Perna, R. Magnaghi
Year: 2023
Journal: Frontiers in Plant Science, 14, 1303771
Cited by: 0

Title: Time-Trends in Air Pollution Impact on Health in Italy, 1990–2019: An Analysis From the Global Burden of Disease Study 2019
Authors: S. Conti, C. Fornari, P. Ferrara, L. Monasta, L.G. Mantovani
Year: 2023
Journal: International Journal of Public Health, 68, 1605959
Cited by: 5

PROFESSIONAL ENDEAVORS

Transitioning into her professional career, Minakshi Boruah continued to excel, qualifying competitive exams like GATE and NET UGC in Computer Science and Applications. Her work experience at Wipro further honed her skills, where she undertook certifications in AWS cloud and actively participated in various training programs and workshops.

CONTRIBUTIONS AND RESEARCH FOCUS

Minakshi Boruah's dedication to pursuing higher research-based studies in Computer Science and Engineering is evident from her participation in numerous workshops, training programs, and conferences. Her research interests extend to Computational Biology, as seen in her paper presentations and attendance at events like the SERB-INAE workshop.

LEGACY AND FUTURE CONTRIBUTIONS

As Minakshi Boruah continues her journey in academia and research, her legacy is shaped by her dedication to excellence, passion for learning, and commitment to making meaningful contributions to the field of Computational Biology. Her future endeavors hold promise for further advancements in research and innovation.