The Fundamentals of Digital Oncology

AvLuca Maria Gambardella,Dimitris Kalogeropoulos

Häftad, Engelska, 2027

1 726 kr

Kommande

Beskrivning

The Fundamentals of Digital Oncology is an essential introduction to the rapidly developing landscape of digital technologies in cancer care. This first volume lays the groundwork for understanding the pivotal role of big data, artificial intelligence, and interdisciplinary collaboration in shaping modern oncology. With a clear and structured overview, the book welcomes newcomers by breaking down complex concepts and guiding readers through the latest advancements, challenges, and practical applications. By reflecting cutting-edge research, it equips readers to appreciate the transformative impact of digital tools, from research labs to patient bedsides, and highlights the necessity of teamwork in driving progress.

In addition, the book delves into critical topics such as virtual tumor boards, ethical considerations in AI, and strategies for integrating digital approaches into clinical decision-making. Written for researchers, clinicians, and graduate students, it bridges information gaps by offering actionable insights and real-world examples.

Provides a thorough introduction to Digital Oncology, covering essential technologies, applications, and interdisciplinary approaches that are crucial for understanding the field
Offers practical strategies for integrating AI and digital technologies into clinical decision-making, equipping researchers, clinicians, and students with the tools needed to advance cancer care
Reflects the latest research findings and addresses current challenges in implementing digital innovations in oncology

Produktinformation

Utgivningsdatum:2027-07-01
Mått:191 x 235 x undefined mm
Format:Häftad
Språk:Engelska
Serie:Digital Oncology
Antal sidor:330
Förlag:Elsevier Science
ISBN:9780443457159

Utforska kategorier

Biologi inom Naturvetenskap och teknik

Mer om författaren

Luca Maria Gambardella is a renowned academic and researcher in the field of artificial intelligence, currently serving as the Vice-Rector for Innovation and Corporate Relations at the Università della Svizzera italiana (USI) in Lugano. With a PhD in Engineering Sciences and Technology, he holds the position of Full Professor at USI’s Faculty of Computer Science and directs the Artificial Intelligence Master program. As a co-founder and CTO of Artificialy SA, he leads advancements in applied AI. Over his distinguished career, Gambardella has directed significant research initiatives, securing over 16 million CHF in funding. He has published more than 330 papers, garnering over 56,000 citations. His research interests encompass meta-heuristics, swarm intelligence, and robotics, contributing to numerous patents and accolades, including leadership roles in prestigious organizations and panels. Gambardella's work continues to shape the landscape of artificial intelligence and its applications Dr. Dimitrios Kalogeropoulos is Chief Executive at the Global Health Digital Innovation Foundation, UK, and Health Executive in Residence at UCL Global Business School for Health. With over 30 years of experience in health governance and digital innovation, he holds a PhD in Artificial Intelligence in Medicine. He has advised organizations like the World Bank, WHO, and the Bill & Melinda Gates Foundation on health, technology, and governance. A pioneer in applying AI to systems medicine, he contributed to initiatives such as Healthy China 2030 and the EU AI Act. He is involved in developing ethical AI standards and promotes societal value in AI applications. Dr. Kalogeropoulos chairs IEEE programs on AI for Public Health and Climate-Resilient Systems, and advises startups and global organizations on digital transformation. A recognized leader, he advocates for innovation, equity, and sustainability in global health.

Innehållsförteckning

1. Understanding Digital Oncology2. Key Technologies in Digital Oncology3. Data Management and Integration4. AI and Machine Learning in Oncology5. Telemedicine and Remote Patient Monitoring6. Genomics and Precision Medicine7. Wearable Technology and Mobile Health8. Big Data and Analytics9. Regulatory and Ethical Considerations10. Future Directions and Innovations

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