Building flexible, scalable, and machine learning-ready multimodal oncology datasets

A Tripathi, A Waqas, K Venkatesan, Y Yilmaz, G Rasool - Sensors, 2024 - mdpi.com
The advancements in data acquisition, storage, and processing techniques have resulted in
the rapid growth of heterogeneous medical data. Integrating radiological scans …

Approach to machine learning for extraction of real-world data variables from electronic health records

B Adamson, M Waskom, A Blarre, J Kelly… - Frontiers in …, 2023 - frontiersin.org
Background: As artificial intelligence (AI) continues to advance with breakthroughs in natural
language processing (NLP) and machine learning (ML), such as the development of models …

Unlocking the power of benchmarking: real-world-time data analysis for enhanced sarcoma patient outcomes

B Fuchs, G Schelling, M Elyes, G Studer… - Cancers, 2023 - mdpi.com
Simple Summary Benchmarking is a crucial tool for healthcare providers to improve quality
and efficiency, especially for complex conditions like sarcomas. Sarcomas are a type of …

Real-World Treatment Patterns and Clinical Outcomes among Patients Receiving CDK4/6 Inhibitors for Metastatic Breast Cancer in a Canadian Setting Using AI …

R Moulson, G Feugère, TS Moreira-Lucas, F Dequen… - Current …, 2024 - mdpi.com
Cyclin-dependent kinase 4/6 inhibitors (CDK4/6i) are widely used in patients with hormone
receptor-positive (HR+)/human epidermal growth factor receptor 2 negative (HER2−) …

Machine Learning Big Data Analysis of the Impact of Air Pollutants on Rhinitis-Related Hospital Visits

S Lee, C Hyun, M Lee - Toxics, 2023 - mdpi.com
This study seeks to elucidate the intricate relationship between various air pollutants and the
incidence of rhinitis in Seoul, South Korea, wherein it leveraged a vast repository of data and …

[HTML][HTML] Real-world survival of patients treated with taxane therapy after exposure to immunotherapy and platinum-based chemotherapy for advanced non-small-cell …

SV Liu, X Hu, D Chirovsky, W Meng… - ESMO Real World Data …, 2024 - Elsevier
Background The current therapy for advanced non-small-cell lung cancer (NSCLC) often
incorporates frontline use of programmed death (ligand) 1 [PD-(L) 1] inhibitors concomitantly …