Artificial intelligence in cancer diagnosis and prognosis: Opportunities and challenges

S Huang, J Yang, S Fong, Q Zhao - Cancer letters, 2020 - Elsevier
Cancer is an aggressive disease with a low median survival rate. Ironically, the treatment
process is long and very costly due to its high recurrence and mortality rates. Accurate early …

Cancer survival statistics for patients and healthcare professionals–a tutorial of real‐world data analysis

S Eloranta, KE Smedby, PW Dickman… - Journal of internal …, 2021 - Wiley Online Library
Monitoring survival of cancer patients using data collected by population‐based cancer
registries is an important component of cancer control. In this setting, patient survival is often …

Molecular biomarkers in localized prostate cancer: ASCO guideline

SE Eggener, RB Rumble, AJ Armstrong… - Journal of Clinical …, 2020 - ascopubs.org
PURPOSE This guideline provides recommendations for available tissue-based prostate
cancer biomarkers geared toward patient selection for active surveillance, identification of …

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and …

C Lee, A Light, A Alaa, D Thurtle… - The Lancet Digital …, 2021 - thelancet.com
Background Accurate prognostication is crucial in treatment decisions made for men
diagnosed with non-metastatic prostate cancer. Current models rely on prespecified …

CD133 antibody targeted delivery of gold nanostars loading IR820 and docetaxel for multimodal imaging and near-infrared photodynamic/photothermal …

H Tan, N Hou, Y Liu, B Liu, W Cao, D Zheng… - … , Biology and Medicine, 2020 - Elsevier
Due to the lack of effective strategies on the treatment of castration resistant prostate cancer
(CRPC), we established a multifunctional nanoplatform (GNS@ IR820/DTX-CD133) for the …

Artificial intelligence and pathomics: prostate cancer

PA Moghadam, A Bashashati… - Urologic …, 2024 - urologic.theclinics.com
Since the introduction of the hematoxylin and eosin (H&E)-stained slide in 1876 as the
primary tool in the pathologist's toolbox up until the last decade, few tools, other than the …

ECCO essential requirements for quality cancer care: prostate cancer

M Brausi, P Hoskin, E Andritsch, I Banks… - Critical Reviews in …, 2020 - Elsevier
Abstract Background ECCO Essential Requirements for Quality Cancer Care (ERQCC) are
written by experts representing all disciplines involved in cancer care in Europe. They give …

Immune-activated B cells are dominant in prostate cancer

A Saudi, V Banday, AA Zirakzadeh, M Selinger… - Cancers, 2023 - mdpi.com
Simple Summary Contrary to the common belief that prostate cancer is an immune desert,
our study shows tumor-associated B-cell responses in prostate cancer. We demonstrate …

Survival analysis of localized prostate cancer with deep learning

X Dai, JH Park, S Yoo, N D'Imperio, BH McMahon… - Scientific Reports, 2022 - nature.com
In recent years, data-driven, deep-learning-based models have shown great promise in
medical risk prediction. By utilizing the large-scale Electronic Health Record data found in …

Redevelopment of the Predict: Breast Cancer website and recommendations for developing interfaces to support decision‐making

GD Farmer, M Pearson, WJ Skylark… - Cancer …, 2021 - Wiley Online Library
Objectives To develop a new interface for the widely used prognostic breast cancer tool:
Predict: Breast Cancer. To facilitate decision‐making around post‐surgery breast cancer …