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Predictive modeling in medicine
Definition Predictive modeling is a complex methodology that involves leveraging advanced
mathematical and computational techniques to forecast future occurrences or outcomes …
mathematical and computational techniques to forecast future occurrences or outcomes …
Mechanism-centric approaches for biomarker detection and precision therapeutics in cancer
CY Yu, A Mitrofanova - Frontiers in Genetics, 2021 - frontiersin.org
Biomarker discovery is at the heart of personalized treatment planning and cancer precision
therapeutics, encompassing disease classification and prognosis, prediction of treatment …
therapeutics, encompassing disease classification and prognosis, prediction of treatment …
Application of data science and bioinformatics in RNA therapeutics
Nowadays, information technology (IT) has been holding a significant role in daily life
worldwide. The trajectory of data science and bioinformatics promises pioneering …
worldwide. The trajectory of data science and bioinformatics promises pioneering …
The role of cuproptosis-related gene in the classification and prognosis of melanoma
JY Liu, LP Liu, Z Li, YW Luo, F Liang - Frontiers in Immunology, 2022 - frontiersin.org
Background Melanoma, as one of the most aggressive and malignant cancers, ranks first in
the lethality rate of skin cancers. Cuproptosis has been shown to paly a role in …
the lethality rate of skin cancers. Cuproptosis has been shown to paly a role in …
Role of hippo pathway and cuproptosis-related genes in immune infiltration and prognosis of skin cutaneous melanoma
H Lv, L Liu, Y He, K Yang, Y Fu, Y Bao - Frontiers in Pharmacology, 2024 - frontiersin.org
Melanoma is the most lethal type of skin cancer with an increasing incidence. Cuproptosis is
the most recently identified copper-dependent form of cell death that relies on mitochondrial …
the most recently identified copper-dependent form of cell death that relies on mitochondrial …
The global patent landscape of artificial intelligence applications for cancer
The global patent landscape of artificial intelligence applications for cancer | Nature
Biotechnology Skip to main content Thank you for visiting nature.com. You are using a …
Biotechnology Skip to main content Thank you for visiting nature.com. You are using a …
[Retracted] Mate Analysis of Hepatocellular Carcinoma Immune Subtypes and Their Functional Effects Based on Fuzzy Logic and Evolutionary Algorithms
Q Chen, C Liu, Y Huo - Contrast Media & Molecular Imaging, 2022 - Wiley Online Library
Functional analysis of immune subtypes in hepatocellular carcinoma has attracted much
attention due to its advantages in solving some optimization problems. At present, the …
attention due to its advantages in solving some optimization problems. At present, the …
Machine Learning Accuracy and Big Data in Research on Disease and Health
F Stella - Current Genomics, 2021 - pmc.ncbi.nlm.nih.gov
Electronic health records (EHRs), originated by interactions between patients and the health
care system, provide unique medical characteristics of each patient; results from laboratory …
care system, provide unique medical characteristics of each patient; results from laboratory …
[PDF][PDF] Biomathematics in Cancer Research: Looking into How Mathematical Models Are Used to Understand Tumor Growth and the Effectiveness of Different …
A Olushola, V Alao - 2024 - preprints.org
This paper explores the critical role of biomathematics in cancer research, focusing on how
mathematical models enhance our understanding of tumor growth and optimize treatment …
mathematical models enhance our understanding of tumor growth and optimize treatment …
[PDF][PDF] Immersive Analytics for Oncology Patient Cohorts
CW LAU - 2023 - researchers.westernsydney.edu.au
This chapter discusses the current states of genomic data visualisation, immersive analytics,
immersive visualisation, immersive visualisation medical application, immersive genomic …
immersive visualisation, immersive visualisation medical application, immersive genomic …