Multimodal Information Integration for Precision Oncology: Challenges and Future Instructions
Authors: Huajun Zhou, Fengtao Zhou, Chenyu Zhao, Yingxue Xu, Luyang Luo, Hao Chen
Summary: The essence of precision oncology lies in its dedication to tailor focused remedies and care measures to every affected person based mostly on the person traits of the tumor. The inherent heterogeneity of tumors necessitates gathering data from numerous information sources to offer priceless insights from numerous views, fostering a holistic comprehension of the tumor. Over the previous decade, multimodal information integration expertise for precision oncology has made vital strides, showcasing outstanding progress in understanding the intricate particulars inside heterogeneous information modalities. These strides have exhibited large potential for bettering scientific decision-making and mannequin interpretation, contributing to the development of most cancers care and remedy. Given the fast progress that has been achieved, we offer a complete overview of about 300 papers detailing cutting-edge multimodal information integration methods in precision oncology. As well as, we conclude the first scientific functions which have reaped vital advantages, together with early evaluation, analysis, prognosis, and biomarker discovery. Lastly, derived from the findings of this survey, we current an in-depth evaluation that explores the pivotal challenges and divulges important pathways for future analysis within the area of multimodal information integration for precision oncology.
