Digital pathology and artificial intelligence

MKK Niazi, AV Parwani, MN Gurcan - The lancet oncology, 2019 - thelancet.com
In modern clinical practice, digital pathology has a crucial role and is increasingly a
technological requirement in the scientific laboratory environment. The advent of whole-slide …

Mathematical modeling in cancer nanomedicine: a review

P Dogra, JD Butner, Y Chuang, S Caserta, S Goel… - Biomedical …, 2019 - Springer
Cancer continues to be among the leading healthcare problems worldwide, and efforts
continue not just to find better drugs, but also better drug delivery methods. The need for …

Establishing the effects of mesoporous silica nanoparticle properties on in vivo disposition using imaging-based pharmacokinetics

P Dogra, NL Adolphi, Z Wang, YS Lin, KS Butler… - Nature …, 2018 - nature.com
The progress of nanoparticle (NP)-based drug delivery has been hindered by an inability to
establish structure-activity relationships in vivo. Here, using stable, monosized, radiolabeled …

Conversion of RNA aptamer into modified DNA aptamers provides for prolonged stability and enhanced antitumor activity

P Amero, GLR Lokesh, RR Chaudhari… - Journal of the …, 2021 - ACS Publications
Aptamers, synthetic single-strand oligonucleotides that are similar in function to antibodies,
are promising as therapeutics because of their minimal side effects. However, the stability …

[HTML][HTML] Histopathological images analysis and predictive modeling implemented in digital pathology—current affairs and perspectives

M Moscalu, R Moscalu, CG Dascălu, V Țarcă… - Diagnostics, 2023 - mdpi.com
In modern clinical practice, digital pathology has an essential role, being a technological
necessity for the activity in the pathological anatomy laboratories. The development of …

Computerized segmentation and measurement of chronic wound images

MFA Fauzi, I Khansa, K Catignani, G Gordillo… - Computers in biology …, 2015 - Elsevier
An estimated 6.5 million patients in the United States are affected by chronic wounds, with
more than US $25 billion and countless hours spent annually for all aspects of chronic …

Mathematical prediction of clinical outcomes in advanced cancer patients treated with checkpoint inhibitor immunotherapy

JD Butner, D Elganainy, CX Wang, Z Wang… - Science …, 2020 - science.org
We present a mechanistic mathematical model of immune checkpoint inhibitor therapy to
address the oncological need for early, broadly applicable readouts (biomarkers) of patient …

A mathematical model for the quantification of a patient's sensitivity to checkpoint inhibitors and long-term tumour burden

JD Butner, Z Wang, D Elganainy… - Nature biomedical …, 2021 - nature.com
A large proportion of patients with cancer are unresponsive to treatment with immune
checkpoint blockade and other immunotherapies. Here, we report a mathematical model of …

[HTML][HTML] Understanding the connection between nanoparticle uptake and cancer treatment efficacy using mathematical modeling

TA Brocato, EN Coker, PN Durfee, YS Lin, J Townson… - Scientific reports, 2018 - nature.com
Nanoparticles have shown great promise in improving cancer treatment efficacy while
reducing toxicity and treatment side effects. Predicting the treatment outcome for …

Integrated PK-PD and agent-based modeling in oncology

Z Wang, JD Butner, V Cristini, TS Deisboeck - Journal of pharmacokinetics …, 2015 - Springer
Mathematical modeling has become a valuable tool that strives to complement conventional
biomedical research modalities in order to predict experimental outcome, generate new …