Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences

M Alber, A Buganza Tepole, WR Cannon, S De… - NPJ digital …, 2019 - nature.com
Fueled by breakthrough technology developments, the biological, biomedical, and
behavioral sciences are now collecting more data than ever before. There is a critical need …

Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues

A Karolak, DA Markov… - Journal of The …, 2018 - royalsocietypublishing.org
A main goal of mathematical and computational oncology is to develop quantitative tools to
determine the most effective therapies for each individual patient. This involves predicting …

Computer simulations suggest that prostate enlargement due to benign prostatic hyperplasia mechanically impedes prostate cancer growth

G Lorenzo, TJR Hughes… - Proceedings of the …, 2019 - National Acad Sciences
Prostate cancer and benign prostatic hyperplasia are common genitourinary diseases in
aging men. Both pathologies may coexist and share numerous similarities, which have …

TGM-Nets: A deep learning framework for enhanced forecasting of tumor growth by integrating imaging and modeling

Q Chen, Q Ye, W Zhang, H Li, X Zheng - Engineering Applications of …, 2023 - Elsevier
Prediction and uncertainty quantification of tumor progression are vital in clinical practice, ie,
disease prognosis and decision-making on treatment strategies. In this work, we propose …

Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting

AM Jarrett, AS Kazerouni, C Wu, J Virostko… - Nature protocols, 2021 - nature.com
This protocol describes a complete data acquisition, analysis and computational forecasting
pipeline for employing quantitative MRI data to predict the response of locally advanced …

Computational modelling of drug delivery to solid tumour: Understanding the interplay between chemotherapeutics and biological system for optimised delivery …

W Zhan, M Alamer, XY Xu - Advanced drug delivery reviews, 2018 - Elsevier
Drug delivery to solid tumour involves multiple physiological, biochemical and biophysical
processes taking place across a wide range of length and time scales. The therapeutic …

Modeling neuron growth using isogeometric collocation based phase field method

K Qian, A Pawar, A Liao, C Anitescu… - Scientific Reports, 2022 - nature.com
We present a new computational framework of neuron growth based on the phase field
method and develop an open-source software package called “ …

An isogeometric analysis-based topology optimization framework for 2D cross-flow heat exchangers with manufacturability constraints

X Liang, A Li, AD Rollett, YJ Zhang - Engineering with Computers, 2022 - Springer
Heat exchangers (HXs) have gained increasing attention due to the intensive demand of
performance improving and energy saving for various equipment and machines. As a …

Optimal control of cytotoxic and antiangiogenic therapies on prostate cancer growth

P Colli, H Gomez, G Lorenzo, G Marinoschi… - … Models and Methods …, 2021 - World Scientific
Prostate cancer can be lethal in advanced stages, for which chemotherapy may become the
only viable therapeutic option. While there is no clear clinical management strategy fitting all …

Integrated biophysical modeling and image analysis: application to neuro-oncology

A Mang, S Bakas, S Subramanian… - Annual review of …, 2020 - annualreviews.org
Central nervous system (CNS) tumors come with vastly heterogeneous histologic,
molecular, and radiographic landscapes, rendering their precise characterization …