Elsevier Computational and AI Methods in Theranostics and Nuclear Oncology, An Issue of PET Clinics (Volume 21-1) (The Clinics: Radiology, Volume 21-1)

In this issue of PET Clinics, guest editors Drs. Arman Rahmim, Kuangyu Shi, and Babak Saboury bring their considerable expertise to the topic of Computational and AI Methods toward Successful Applications of Theranostics. The field of nuclear medicine is currenting undergoing a renaissance, directly related to theranostics applications, where we can “see what we treat and treat what we see” using radiopharmaceuticals that target important disease biomarkers with high sensitivity. This special issue focuses on computational and AI methods tools and techniques available and under development to enable optimal use of theranostic applications. Contains 14 relevant, practice-oriented topics including PBPK models, digital twins, and verification, validation and uncertainty quantification (VVUQ) in theranostics; mathematical and computational nuclear oncology: tools and techniques towards optimized radiopharmaceutical therapies and theranostic digital twins; computational radiobiology; mathematical oncology, cancer evolution, and radiopharmaceutical therapy; and more Provides in-depth clinical reviews on computational and AI methods toward successful applications of theranostics, offering actionable insights for clinical practice Presents the latest information on this timely, focused topic under the leadership of experienced editors in the field. Authors synthesize and distill the latest research and practice guidelines to create clinically significant, topic-based reviews