In clinical research, the application of statistical methods is essential for drawing accurate conclusions and ensuring the reliability of findings. Biostatistics provides the tools necessary to assess treatment effects, identify trends, and determine the significance of results in biological and medical studies. Alongside biostatistics, data management ensures that the vast amounts of information generated during research are properly organized, stored, and protected. This process is crucial for maintaining data integrity and adhering to regulatory standards. Effective data management also supports the smooth execution of clinical trials by ensuring that all data is accessible, consistent, and reliable. The combination of biostatistics and data management is fundamental for producing high-quality, valid results that support the development of safe and effective pharmaceutical products.
Title : The impact of metal-decorated polymeric nanodots on proton relaxivity
Paulo Cesar De Morais, Catholic University of Brasilia, Brazil
Title : Hepatotoxic botanicals-shadows of pearls
Consolato M Sergi, Universities of Alberta and Ottawa, Canada
Title : Exploring classical ayurvedic drugs in hypertension
Prashant Bhokardankar, Datta Meghe Ayurved College, India
Title : Principles and standards for managing healthcare transformation towards personalized, preventive, predictive, participative precision medicine ecosystems
Bernd Blobel, University of Regensburg, Germany
Title : Personalized and Precision Medicine (PPM) as a unique healthcare model based on design-inspired biotech- & biopharma-driven applications to secure the human healthcare and biosafety
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Antibody proteases as translational tools of the next step generation to be applied for biopharmacy related and precision medical practice
Sergey Suchkov, N.D. Zelinskii Institute for Organic Chemistry of the Russian Academy of Sciences & InMedStar, Russian Federation
Title : Easily injectable, organic solvent free self assembled hydrogel platform for endoscope mediated gastrointestinal polypectomy
Hitasha Vithalani , IIT Gandhinagar, India
Title : Cognitivevoice: Novel machine learning model leveraging acoustic features to predict future cognitive decline in Parkinson’s Disease
Aadya Daga, Hamilton High School, United States
Title : Platelet-activating factor-receptor pathway mediates solar radiation-induced extracellular vesicle release in human keratinocytes
Ravi P Sahu, Wright State University, United States