Gut microbiome, big data and machine learning to promote precision medicine for cancer

G Cammarota, G Ianiro, A Ahern, C Carbone… - Nature reviews …, 2020 - nature.com
The gut microbiome has been implicated in cancer in several ways, as specific microbial
signatures are known to promote cancer development and influence safety, tolerability and …

[HTML][HTML] Diagnostic strategies for breast cancer detection: From image generation to classification strategies using artificial intelligence algorithms

JA Basurto-Hurtado, IA Cruz-Albarran… - Cancers, 2022 - mdpi.com
Simple Summary With the recent advances in the field of artificial intelligence, it has been
possible to develop robust and accurate methodologies that can deliver noticeable results in …

[HTML][HTML] Artificial intelligence predicted overall survival and classified mature B-cell neoplasms based on immuno-oncology and immune checkpoint panels

J Carreras, G Roncador, R Hamoudi - Cancers, 2022 - mdpi.com
Simple Summary Artificial intelligence (AI) is a field that combines computer science with
robust datasets to solve problems. AI in medicine uses machine learning and deep learning …

In vivo measurement of breast tissues stiffness using a light aspiration device

N Briot, G Chagnon, N Connesson, Y Payan - Clinical Biomechanics, 2022 - Elsevier
Background This paper addresses the question of the in vivo measurement of breast tissue
stiffness, which has been poorly adressed until now, except for elastography imaging which …

Applications of 3D printing in breast cancer management

A Galstyan, MJ Bunker, F Lobo, R Sims, J Inziello… - 3D printing in …, 2021 - Springer
Abstract Three-dimensional (3D) printing is a method by which two-dimensional (2D) virtual
data is converted to 3D objects by depositing various raw materials into successive layers …

Vision for the 12 LABOURS Digital Twin Platform*

TPB Gamage, A Elsayed, C Lin, A Wu… - 2023 45th Annual …, 2023 - ieeexplore.ieee.org
Clinical translation of personalised computational physiology workflows and digital twins
can revolutionise healthcare by providing a better understanding of an individual's …

Diffeomorphic Multi-resolution Deep Learning Registration for Applications in Breast MRI

MG French, GD Maso Talou… - … Conference on Medical …, 2023 - Springer
In breast surgical planning, accurate registration of MR images across patient positions has
the potential to improve the localisation of tumours during breast cancer treatment. While …

Quantifying changes in shoulder orientation between the prone and supine positions from magnetic resonance imaging

F Pan, K Khoo, GDM Talou, F Song, D McGhee… - Clinical …, 2024 - Elsevier
Background Predicting breast tissue motion using biomechanical models can provide
navigational guidance during breast cancer treatment procedures. These models typically …

Breast simulation pipeline: from medical imaging to patient-specific simulations

A Mazier, SPA Bordas - Clinical Biomechanics, 2024 - Elsevier
Background Breast-conserving surgery is the most acceptable operation for breast cancer
removal from an invasive and psychological point of view. Before the surgical procedure, a …

3D Printing in the Management of Breast Cancer

T Kelil, A Ali - 3D Printing at Hospitals and Medical Centers: A …, 2024 - Springer
Although 3D printing is not as extensively used in breast radiology as compared to other
surgical specialties, it is a useful modality in the surgeons' armamentarium. It can be used to …