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Intricacies of human-AI interaction in dynamic decision-making for precision oncology.
Nat Commun
January 2025
Department of Machine Learning, Moffitt Cancer Center, Tampa, FL, USA.
AI decision support systems can assist clinicians in planning adaptive treatment strategies that can dynamically react to individuals' cancer progression for effective personalized care. However, AI's imperfections can lead to suboptimal therapeutics if clinicians over or under rely on AI. To investigate such collaborative decision-making process, we conducted a Human-AI interaction study on response-adaptive radiotherapy for non-small cell lung cancer and hepatocellular carcinoma.
View Article and Find Full Text PDFDetermining the status of tertiary lymphoid structures in invasive pulmonary adenocarcinoma based on chest CT radiomic features.
Insights Imaging
January 2025
Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Objectives: The aim of this study was to determine the status of tertiary lymphoid structures (TLSs) using radiomic features in patients with invasive pulmonary adenocarcinoma (IA).
Methods: In this retrospective study, patients with IA from November 2015 to March 2024 were recruited from two independent centers (center 1, training and internal test data set; center 2, external test data set). TLS was divided into two groups according to hematoxylin-eosin staining.
Elucidating the potential of EGFR mutated NSCLC and identifying its multitargeted inhibitors.
Sci Rep
January 2025
Amrita School of Artificial Intelligences, Coimbatore, Amrita Vishwa Vidyapeetham, Coimbatore, India.
Lung cancer is the leading cause of cancer-related fatalities globally, accounting for the highest mortality rate among both men and women. Mutations in the epidermal growth factor receptor (EGFR) gene are frequently found in non-small cell lung cancer (NSCLC). Since curcumin and CB[2]UN support various medicinal applications in drug delivery and design, we investigated the effect of curcumin and CB[2]UN-based drugs in controlling EGFR-mutant NSCLC through a dodecagonal computational approach.
View Article and Find Full Text PDFAnalytical and Clinical Validation of the Plasma-Based Guardant360 CDx Test for Assessing HER2 (ERBB2) Mutation Status in Patients with Non-Small-Cell Lung Cancer for Treatment with Trastuzumab Deruxtecan in DESTINY-Lung01/02.
J Mol Diagn
February 2025
Daiichi Sankyo, Inc., Basking Ridge, New Jersey.
This study demonstrates the analytical and clinical validity of the approved (United States and Japan) plasma-based Guardant360 companion diagnostic (CDx) test for selecting patients with human epidermal growth factor receptor 2 (HER2 [ERBB2])-mutated (HER2m) non-small-cell lung cancer (NSCLC) for trastuzumab deruxtecan (T-DXd) treatment. Concordance between the Guardant360 CDx test and the plasma-based AVENIO ctDNA Expanded Kit Assay (AVENIO), as well as the tissue-based clinical trial assays (CTAs) was investigated. Clinical utility was assessed by comparing T-DXd clinical efficacy results of patients in DESTINY-Lung01/02 who tested positive for HER2 mutations using the Guardant360 CDx test to benchmark efficacy results from DESTINY-Lung01/02.
View Article and Find Full Text PDFRemote symptom monitoring with patient-reported outcomes and nudges during lung cancer immunotherapy in China (PRO-NET): protocol for a randomised controlled trial.
BMJ Open
January 2025
China Center for Health Development Studies, Peking University, Beijing, China
Introduction: Lung cancer is the leading cause of cancer-related mortality globally, with non-small cell lung cancer (NSCLC) comprising the majority of cases. For advanced NSCLC, immunotherapy offers substantial survival benefits but is often accompanied by severe immune-related adverse events symptoms, significantly affecting health-related quality of life (HRQoL). Routinely collection of patient-reported outcomes (PROs) followed by automated alerts has been shown to improve overall survival and HRQoL for cancers.
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