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Real-world application of physiologically based pharmacokinetic models in drug discovery.
Drug Metab Dispos
January 2025
Simcyp Division, Certara UK, Ltd, Princeton, New Jersey. Electronic address:
The utility of physiologically based pharmacokinetic (PBPK) models in support of drug development has been well documented. During the discovery stage, PBPK modeling has increasingly been applied for early risk assessment, prediction of human dose, toxicokinetic dose projection, and early formulation assessment. Previous review articles have proposed model-building and application strategies for PBPK-based first-in-human predictions with comprehensive descriptions of the individual components of PBPK models.
View Article and Find Full Text PDFDecoding pan-cancer treatment outcomes using multimodal real-world data and explainable artificial intelligence.
Nat Cancer
January 2025
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Essen, Germany.
Despite advances in precision oncology, clinical decision-making still relies on limited variables and expert knowledge. To address this limitation, we combined multimodal real-world data and explainable artificial intelligence (xAI) to introduce AI-derived (AID) markers for clinical decision support. We used xAI to decode the outcome of 15,726 patients across 38 solid cancer entities based on 350 markers, including clinical records, image-derived body compositions, and mutational tumor profiles.
View Article and Find Full Text PDFEvaluating key predictors of anatomical complexity in mandibular incisors: insights from CBCT analysis considering premolar anatomy, sex, and age.
Odontology
January 2025
Health Applied Science Post-Graduate Program and Department of Dentistry, Federal University of Juiz de Fora, Campus GV, Governador Valadares, Minas Gerais, Brazil.
Understanding the impact of premolar root anatomy, sex, and age on incisor complexity can aid in developing tailored diagnostic and therapeutic strategies. This study evaluated if the anatomical complexity of mandibular premolars, sex and age can predict the anatomical complexity in mandibular incisors. Using CBCT scans, 3944 mandibular incisors from 493 patients were analyzed.
View Article and Find Full Text PDFArtificial intelligence for segmentation and classification in lumbar spinal stenosis: an overview of current methods.
Eur Spine J
January 2025
Department of Neurosurgery, Leiden University Medical Center, Albinusdreef 2, 2333ZA, Leiden, The Netherlands.
Purpose: Lumbar spinal stenosis (LSS) is a frequently occurring condition defined by narrowing of the spinal or nerve root canal due to degenerative changes. Physicians use MRI scans to determine the severity of stenosis, occasionally complementing it with X-ray or CT scans during the diagnostic work-up. However, manual grading of stenosis is time-consuming and induces inter-reader variability as a standardized grading system is lacking.
View Article and Find Full Text PDFExploring the Impact of the Multimodal CAPABLE eHealth Intervention on Health-Related Quality of Life in Patients With Melanoma Undergoing Immune-Checkpoint Inhibition: Prospective Pilot Study.
JMIR Cancer
January 2025
Department of Medical Oncology, Antoni van Leeuwenhoek, Amsterdam, Netherlands.
Background: Patients with melanoma receiving immunotherapy with immune-checkpoint inhibitors often experience immune-related adverse events, cancer-related fatigue, and emotional distress, affecting health-related quality of life (HRQoL) and clinical outcome to immunotherapy. eHealth tools can aid patients with cancer in addressing issues, such as adverse events and psychosocial well-being, from various perspectives.
Objective: This study aimed to explore the effect of the Cancer Patients Better Life Experience (CAPABLE) system, accessed through a mobile app, on HRQoL compared with a matched historical control group receiving standard care.
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