Neeraj Kumar Fuloria – författare

We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management.

This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy.

The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.

We are in the era of large-scale science. In oncology there is a huge number of data sets grouping information on cancer genomes, transcriptomes, clinical data, and more. The challenge of big data in cancer is to integrate all this diversity of data collected into a unique platform that can be analyzed, leading to the generation of readable files. The possibility of harnessing information from all the accumulated data leads to an improvement in cancer patient treatment and outcome. Solving the big data problem in oncology has multiple facets. Big data in Oncology: Impact, Challenges, and Risk Assessment brings together insights from emerging sophisticated information and communication technologies such as artificial intelligence, data science, and big data analytics for cancer management.

This book focuses on targeted disease treatment using big data analytics. It provides information about targeted treatment in oncology, challenges and application of big data in cancer therapy.

The most targeted or relevant audience is academics, research scholars, health care professionals, hospital management, pharmaceutical chemists, the biomedical industry, software engineers and IT professionals.

This fascinating book delves into the transformative role that blockchain technology could play in the security and integrity of patient data within the healthcare sector.

In an era where data breaches and privacy concerns loom large, blockchain has emerged as a potential solution to these challenges, offering a route to streamline healthcare processes, manage data and improve patient outcomes. The book begins by providing a comprehensive overview of its underlying principles, including decentralization, immutability and consensus mechanisms, before exploring, through a range of international cases studies, how blockchain has been applied so far within the healthcare sector, from the management of electronic health records (EHRs) and clinical trials to medical billing and supply chain management. The authors also explore the barriers to the wider adoption of blockchain, including financial investment and regulatory issues.

The first book to focus solely on the potential of blockchain within the healthcare sector, it will appeal to international scholars, students and healthcare professionals interested in issues around patient confidentiality, data security and IT management.

This fascinating book delves into the transformative role that blockchain technology could play in the security and integrity of patient data within the healthcare sector.

In an era where data breaches and privacy concerns loom large, blockchain has emerged as a potential solution to these challenges, offering a route to streamline healthcare processes, manage data and improve patient outcomes. The book begins by providing a comprehensive overview of its underlying principles, including decentralization, immutability and consensus mechanisms, before exploring, through a range of international cases studies, how blockchain has been applied so far within the healthcare sector, from the management of electronic health records (EHRs) and clinical trials to medical billing and supply chain management. The authors also explore the barriers to the wider adoption of blockchain, including financial investment and regulatory issues.

The first book to focus solely on the potential of blockchain within the healthcare sector, it will appeal to international scholars, students and healthcare professionals interested in issues around patient confidentiality, data security and IT management.