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Big Data in Oncology: Impact Challenges and Risk Assessment

Big Data in Oncology: Impact Challenges and Risk Assessment

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. Recent developments in the fields of artificial intelligence machine learning medical imaging personalized medicine computing and data analytics for improved patient care. Description of the application of big data with AI to discover new targeting points for cancer treatment. Summary of several risk assessments in the field of oncology using big data. Focus on prediction of doses in oncology using big data 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.

GBP 110.00
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iURBAN Intelligent Urban Energy Tool

iURBAN Intelligent Urban Energy Tool

iURBAN: Intelligent Urban Energy Tool introduces an urban energy tool integrating different ICT energy management systems (both hardware and software) in two European cities providing useful data to a novel decision support system that makes available the necessary parameters for the generation and further operation of associated business models. The business models contribute at a global level to efficiently manage and distribute the energy produced and consumed at a local level (city or neighbourhood) incorporating behavioural aspects of the users into the software platform and in general prosumers. iURBAN integrates a smart Decision Support System (smartDSS) that collects real-time or near real-time data aggregates analyses and suggest actions of energy consumption and production from different buildings renewable energy production resources combined heat and power plants electric vehicles (EV) charge stations storage systems sensors and actuators. The consumption and production data is collected via a heterogeneous data communication protocols and networks. The iURBAN smartDSS through a Local Decision Support System allows the citizens to analyse the consumptions and productions that they are generating receive information about CO2 savings advises in demand response and the possibility to participate actively in the energy market. Whilst through a Centralised Decision Support System allow to utilities ESCOs municipalities or other authorised third parties to: Get a continuous snapshot of city energy consumption and productionManage energy consumption and productionForecasting of energy consumptionPlanning of new energy producers for the future needs of the cityVisualise analyse and take decisions of all the end points that are consuming or producing energy in a city level permitting them to forecast and planning renewable power generation available in the city. | iURBAN Intelligent Urban Energy Tool

GBP 64.99
1

Bringing Forth Prosperity Capacity Innovation in Africa

Bringing Forth Prosperity Capacity Innovation in Africa

Path to Capacity Innovation: An Africa-MNC Strategic Alliance a policy framework is advanced proposing a strategic alliance between African countries -represented by NEPAD- and the multinational corporation with input from the NGO and couched upon an NEPAD-MNC-NGO cross-fertilizing integrative structure. Capacity innovation is the key to Africa's transformation: with the appropriate catalysts innovation and transformation are but a matter of time in gestation. The first of two major catalysts necessary to prompting this change so long sought by Africans came at the adoption of the New Partnership for Africa's Development. It is one of the most profound collaborations of African Heads of State. The second catalyst is proposed in this work in the form of the multinational corporation as change agent for the innovation process working in alliance with NEPAD as Africa's spokesperson for innovation. The policy framework for African capacity innovation is the material product along with discourse for redress of corruption and security policy narrative for protecting the assets of multinational corporations. Bringing Forth Prosperity: Capacity Innovation in Africa questions capital theory as a development construct and an appropriate platform upon which sustained capacity innovation in Africa may emerge; explores Africa's road to modernity in the context of selected development constructs and assesses capacity innovation from a top down-bottom up perspective purposely to serve as backdrop to the Africa-MNC strategic alliance framework; constructs country capacity ID to identify internal resources available to African countries to support capacity innovation; conceptualizes the Africa-MNC strategic alliance to convey a capacity innovation philosophy; articulates an African capacity innovation policy framework to guide the Alliance through a series of actions designed to prompt innovation activity and set the continent on a course to sustained transformation; and articulates a scheme to protect assets -human and physical- derived through the Africa-MNC strategic alliance. | Bringing Forth Prosperity Capacity Innovation in Africa

GBP 69.99
1