Artificial Intelligence in Oncology Drug Discovery and Development

Artificial Intelligence in Oncology Drug Discovery and Development John W. Cassidy Primary Author Belle Taylor Primary Author mixed material bibliography IntechOpen IntechOpen 2020 en English 196 Halaman There exists a profound conflict at the heart of oncology drug development. The efficiency of the drug development process is falling, leading to higher costs per approved drug, at the same time personalised medicine is limiting the target market of each new medicine. Even as the global economic burden of cancer increases, the current paradigm in drug development is unsustainable. In this book, we discuss the development of techniques in machine learning for improving the efficiency of oncology drug development and delivering cost-effective precision treatment. We consider how to structure data for drug repurposing and target identification, how to improve clinical trials and how patients may view artificial intelligence. Ilmu Kedokteran Farmakologi Kanker Pembelajaran Mesin Kecerdasan Buatan 615.19 9781789858983 Perpustakaan UMA Online Public Access Catalog (OPAC) 615.19 Joh a EB26000238 Perpustakaan Pusat UMA 615.19 Joh a Artificial Intelligence in Oncology Drug Discovery and Development external_content.pdf.jpg.jpg 23694 2026-09-03 10:45:56 2026-09-24 10:59:26 machine generated