Personalized Plasma Medicine for Cancer: Transforming Treatment Strategies with Mathematical Modeling and Machine Learning Approaches

VD Ramaswamy, M Keidar - Applied Sciences, 2023 - mdpi.com
Featured Application Complexity, heterogeneity, and treatment resistance of cancers create
challenges in achieving successful treatment outcomes. Personalized cold atmospheric …

Applications of Machine Learning (ML) and Mathematical Modeling (MM) in Healthcare with Special Focus on Cancer Prognosis and Anticancer Therapy: Current …

J Hassan, SM Saeed, L Deka, MJ Uddin, DB Das - Pharmaceutics, 2024 - mdpi.com
The use of data-driven high-throughput analytical techniques, which has given rise to
computational oncology, is undisputed. The widespread use of machine learning (ML) and …

Automation and decision support in the area of nephrology using numerical algorithms, artificial intelligence and expert approach-review of the current state of …

D Pawuś, T Porażko, S Paszkiel - IEEE Access, 2024 - ieeexplore.ieee.org
This study explores the contemporary landscape of integrating numerical algorithms,
artificial intelligence (AI), and expert methodologies within the domain of nephrology …

[PDF][PDF] Employing machine learning to assess the accuracy of near-infrared spectroscopy of spent dialysate fluid in monitoring the blood concentrations of uremic …

JB Trbojević-Stanković, VD Matović… - Archives of …, 2023 - farfar.pharmacy.bg.ac.rs
Hemodialysis (HD) removes nitrogenous waste products from patients' blood through a
semipermeable mem-brane along a concentration gradient. Near-infrared spectroscopy …

Precision Medicine in Nephrology: An Exploratory Study of Machine Learning Models for Accurate Kidney Disease Prognosis

YM Dalal, K Amuthabala… - … Conference on Advances …, 2024 - ieeexplore.ieee.org
This study dives into the field of nephrology and investigates the precision medicine
paradigm by looking closely at machine learning methods for precise renal disease …