An automaton for preclinical pain testing.

Cell Rep Methods

Department of Anesthesiology, Pain Center, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA; Departments of Neuroscience, Psychiatry and Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA. Electronic address:

Published: December 2023

In this issue of Cell Reports Methods, Dedek et al. present RAMalgo-an AI-powered, automated platform for quantifying nociceptive behaviors in mice. With integrated video tracking and mechanical, thermal, and optogenetic stimulation, RAMalgo has the potential to increase standardization and throughput of pain behavior measurement in rodents.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10753377PMC
http://dx.doi.org/10.1016/j.crmeth.2023.100668DOI Listing

Publication Analysis

Top Keywords

automaton preclinical
4
preclinical pain
4
pain testing
4
testing issue
4
issue cell
4
cell reports
4
reports methods
4
methods dedek
4
dedek et al
4
et al ramalgo-an
4

Similar Publications

An automaton for preclinical pain testing.

Cell Rep Methods

December 2023

Department of Anesthesiology, Pain Center, School of Medicine, Washington University in St. Louis, St. Louis, MO, USA; Departments of Neuroscience, Psychiatry and Biomedical Engineering, Washington University in St. Louis, St. Louis, MO, USA. Electronic address:

In this issue of Cell Reports Methods, Dedek et al. present RAMalgo-an AI-powered, automated platform for quantifying nociceptive behaviors in mice. With integrated video tracking and mechanical, thermal, and optogenetic stimulation, RAMalgo has the potential to increase standardization and throughput of pain behavior measurement in rodents.

View Article and Find Full Text PDF

A hybrid spatiotemporal model of PCa dynamics and insights into optimal therapeutic strategies.

Math Biosci

January 2023

School of Mathematics and Physics, University of Portsmouth, Lion Gate Building, Lion Terrace, Portsmouth, PO1 3HF, Hampshire, United Kingdom.

Using a hybrid cellular automaton with stochastic elements, we investigate the effectiveness of multiple drug therapies on prostate cancer (PCa) growth. The ability of Androgen Deprivation Therapy to reduce PCa growth represents a milestone in prostate cancer treatment, nonetheless most patients eventually become refractory and develop castration-resistant prostate cancer. In recent years, a "second generation" drug called enzalutamide has been used to treat advanced PCa, or patients already exposed to chemotherapy that stopped responding to it.

View Article and Find Full Text PDF

Cancers present with high variability across patients and tumors; thus, cancer care, in terms of disease prevention, detection, and control, can highly benefit from a personalized approach. For a comprehensive personalized oncology practice, this personalization should ideally consider data gathered from various information levels, which range from the macroscale population level down to the microscale tumor level, without omission of the central patient level. Appropriate data mined from each of these levels can significantly contribute in devising personalized treatment plans tailored to the individual patient and tumor.

View Article and Find Full Text PDF

Multiscalar cellular automaton simulates in-vivo tumour-stroma patterns calibrated from in-vitro assay data.

BMC Med Inform Decis Mak

May 2017

Modelling and Simulation, Oncology IMED DMPK, AstraZeneca, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK.

Background: The tumour stroma -or tumour microenvironment- is an important constituent of solid cancers and it is thought to be one of the main obstacles to quantitative translation of drug activity between the preclinical and clinical phases of drug development. The tumour-stroma relationship has been described as being both pro- and antitumour in multiple studies. However, the causality of this complex biological relationship between the tumour and stroma has not yet been explored in a quantitative manner in complex tumour morphologies.

View Article and Find Full Text PDF

Microenvironment-Mediated Modeling of Tumor Response to Vascular-Targeting Drugs.

Adv Exp Med Biol

June 2017

Department of Mathematics & Statistics, The College of New Jersey, Ewing, NJ, 08628, USA.

The tumor-associated microvasculature is one of the key elements of the microenvironment that helps shape, and is shaped by, tumor progression. Given the important role of the vasculature in tumor progression, and the fact that tumor and normal vasculature are physiologically and molecularly distinct, much effort has gone into the development of vascular-targeting drugs that in theory should target tumors without significant risk to normal tissue. In this chapter, a multiscale hybrid mathematical model of tumor-vascular interactions is presented to provide a theoretical basis for assessing tumor response to vascular-targeting drugs.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!