Clinical trials sit at the center of how new medical therapies move from early scientific promise to safe, effective, and available treatment. Every stage of that journey — designing a protocol, finding the right participants, monitoring their safety, analyzing the resulting evidence, and ultimately gaining regulatory approval — has traditionally depended on expert judgment applied to data that arrives slowly and in fragments. Artificial intelligence is changing what's possible at each of ...

Generative Artificial Intelligence, an Artificial Intelligence concept which is used to create own data which includes creating text, audio, video, images, programming codes and also advanced data structures such as protein structures. Before the Generative AI, Artificial Intelligence models used Machine learning models to predict pattern and structures.Generative AI models are widely being used in Business, healthcare, education and media sectors. Generative AI helps organizations...

Digital technologies transformed the people's day to day life and businesses organizations the way they work. It saved their time, accessibility and cost. It provided new opportunities, new markets, and new products to the organizations.Digital revolution started with the introduction of Computers, Internet, Mobile phones, Social media networks, Cloud computing, Big Data, Internet of Things, 3D Printing, Machine learning, Virtual reality, Natural Language Processing, Block Chain, A...

Statistical methods are now widely used in different fields such as Business and Management, Economics, Biological, Physical sciences and including the new fields such as Data Science and Machine Learning. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data.This book deals with the statistical methods which are useful in Bu...

R programming has gained importance in different fields due its flexibility, rich packages, platform independent characteristics, data analysis, data visualization, building various models like machine learning models. It facilitates the incorporation of codes of other languages such as C, C++ and Java in its programming environment.R programming is an open source platform which is developed by originally by Ross Ihaka and Robert Gentleman from University of Auckland during the yea...

Statistical Methods are widely used in Medical, Biological, Clinical, Business and Engineering field. The data which form the basis for the statistical methods helps us to take scientific and informed decisions. Statistical methods deal with the collection, compilation, analysis and making inference from the data.The book mainly focuses on non-parametric aspects of Statistical methods. Non parametric methods or tests are used when the assumption about the distribution of the variab...

Bayesian methodology differs from traditional statistical methodology which involves frequentist approach. Bayesian methodology was introduced by Thomas Bayes (Statistician and minister at the Presbyterian Chapel) during the 18th Century. Bayesian methodology is now widely being used due to its simple, straightforward and interpretable characteristics of probability values and the efficiency of modern day computer systems.Bayesian methodology is now being used in the field of clini...

Forecasting models involves predicting the future values of a particular series of data which is mainly based on the time domain. Forecasting models are widely used in the fields such as financial markets, demand for a product and disease outbreak. The objective of the forecasting model is to reduce the error in the forecasting.Most of the Forecasting models are based on time series, a statistical concept which involves Moving Averages, Auto Regressive Integrated Moving Averages (A...

Clinical Trials word became a buzz word during this pandemic situation. It played a crucial role in developing vaccine to fight the pandemic.Experts from different fields contribute to the development of vaccine which includes (not limited) clinical researchers, health care providers, pharmaceutical industry, data managers, biostatisticians, data scientist and clinical trial programmers. Data collection, management, analysis and reporting also play an important role in helping deci...