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[HTML][HTML] MRI Radiomics-based machine learning models for Ki67 expression and Gleason grade group prediction in prostate cancer
X Qiao, X Gu, Y Liu, X Shu, G Ai, S Qian, L Liu, X He… - Cancers, 2023 - mdpi.com
Simple Summary Given the variable aggressiveness of PCa, patients with indolent PCa do
not require intervention, but rather require active surveillance and close lifelong follow-up …
not require intervention, but rather require active surveillance and close lifelong follow-up …
Clinical approaches for integrating machine learning for patients with lymphoma: Current strategies and future perspectives
D Chihara, LJ Nastoupil… - British Journal of …, 2023 - Wiley Online Library
Machine learning (ML) approaches have been applied in the diagnosis and prediction of
haematological malignancies. The consideration of ML algorithms to complement or replace …
haematological malignancies. The consideration of ML algorithms to complement or replace …
Machine learning-based correlation study between perioperative immunonutritional index and postoperative anastomotic leakage in patients with gastric cancer
X Liu, S Lei, Q Wei, Y Wang, H Liang… - International Journal of …, 2022 - pmc.ncbi.nlm.nih.gov
Backgrounds: The immunonutritional index showed great potential for predicting
postoperative complications in various malignant diseases, while risk assessment based on …
postoperative complications in various malignant diseases, while risk assessment based on …
[HTML][HTML] SurvIAE: survival prediction with interpretable autoencoders from diffuse large B-Cells lymphoma gene expression data
Abstract Background In Diffuse Large B-Cell Lymphoma (DLBCL), several methodologies
are emerging to derive novel biomarkers to be incorporated in the risk assessment. We …
are emerging to derive novel biomarkers to be incorporated in the risk assessment. We …
[HTML][HTML] Prognostic stratification of diffuse large B-cell lymphoma using clinico-genomic models: validation and improvement of the LymForest-25 model
AM Orgueira, JÁD Arías, MC López, AP Raíndo… - …, 2022 - journals.lww.com
Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin
lymphoma. Despite notable therapeutic advances in the last decades, 30%–40% of affected …
lymphoma. Despite notable therapeutic advances in the last decades, 30%–40% of affected …
Genomic Mastery: CNN-Driven Prognostic Detection in Mantle Cell Lymphoma
A Yousaf, A Naeem, N Aslam, MK Abid… - Journal of Computing & …, 2024 - jcbi.org
Deep learning techniques are crucial in biomedical research, particularly in analyzing
genomic data. Our research aims to overcome limitations of existing prognostic models for …
genomic data. Our research aims to overcome limitations of existing prognostic models for …
Integrative prognostic machine learning models in mantle cell lymphoma
Patients with mantle cell lymphoma (MCL), an incurable B-cell malignancy, benefit from
accurate pretreatment disease stratification. We curated an extensive database of 862 …
accurate pretreatment disease stratification. We curated an extensive database of 862 …