Machine learning in the prediction of immunotherapy response and prognosis of melanoma: a systematic review and meta-analysis

J Li, K Dan, J Ai - Frontiers in Immunology, 2024 - frontiersin.org
Background The emergence of immunotherapy has changed the treatment modality for
melanoma and prolonged the survival of many patients. However, a handful of patients …

Cancer Immunotherapy and Medical Imaging Research Trends from 2003 to 2023: A Bibliometric Analysis

S Tang, T Fan, X Wang, C Yu, C Zhang… - Journal of …, 2024 - Taylor & Francis
Purpose With the rapid development of immunotherapy, cancer treatment has entered a new
phase. Medical imaging, as a primary diagnostic method, is closely related to cancer …

The prognostic role of early tumor shrinkage in patients with hepatocellular carcinoma undergoing immunotherapy

L Müller, SJ Gairing, R Kloeckner, F Foerster… - Cancer Imaging, 2022 - Springer
Background Early tumor shrinkage (ETS) has been identified as a promising imaging
biomarker for patients undergoing immunotherapy for several cancer entities. This study …

In vitro/in vivo translation of synergistic combination of MDM2 and MEK inhibitors in melanoma using PBPK/PD modelling: part III

J Witkowski, S Polak, D Pawelec… - International Journal of …, 2023 - mdpi.com
The development of in vitro/in vivo translational methods and a clinical trial framework for
synergistically acting drug combinations are needed to identify optimal therapeutic …

Evaluation of the prognosis in patients with small-cell lung cancer treated by chemotherapy using tumor shrinkage rate-based radiomics

Y Zhou, Z Wu, H Wang, K Zhang, H Chen, S Zhu… - European Journal of …, 2024 - Springer
Background Small-cell lung cancer (SCLC) is a leading cause of cancer-related death.
However, the prognostic value of the tumor shrinkage rate (TSR) after chemotherapy for …