Recent Advances in Histopathology: 27 features a collection of in depth reviews of the latest developments in the field. Written in an accessible and easy to read format supplemented by a wealth of colour microphotographs, the book is authored by leading recognised experts. Divided into ten chapters, the book opens with a foundational chapter on machine learning and the role of AI in advancing diagnostic histopathology. It then covers a wide range of relevant topics, including choriocarcinoma, poorly differentiated carcinomas of the thyroid, classification of thymomas, classification of odontogenic tumours, tumours of the biliary tract, and plasma cell neoplasms. Each article provides a comprehensive overview, and emphasises the salient points of interest, with a 'key clinical points for practice' section concluding the chapter. A comprehensive index facilitates easy navigation and quick reference. This latest volume in the series is an invaluable resource for busy clinicians and those sitting FRCPath examinations.