ML-Assisted Biochip Used for Real-Time Single Cancer Cell Analysis

ML-Assisted Biochip Used for Real-Time Single Cancer Cell Analysis

Researchers and engineers at UCI recently created a machine learning-assisted biochip that can both examine and differentiate between cancers and healthy tissues at the single cell level. The data produced by the device can be used to study tumor heterogeneity, which can help reduce resistance to cancer therapies.

Researchers and engineers at UCI recently created a machine learning-assisted biochip that can both examine and differentiate between cancers and healthy tissues at the single cell level. The data produced by the device can be used to study tumor heterogeneity, which can help reduce resistance to cancer therapies.

Single-cell analysis is critical in understanding cancer because intercellular homogeneity within the same tumor and intratumor homogeneity within various tumors are the leading causes of resistance to cancer therapies. The instruments and techniques frequently used to perform single-cell analysis are large, expensive, require human specialists to operate, and take a long time to prepare. The team at UCI detailed their solution to this problem in a paper describing a new machine learning-assisted nanoparticle-printed biochip for single-cell analysis and precise characterization of a variety of cancer cells.

"The World Health Organization says that nearly 60 percent of deaths from breast cancer happen because of a lack of early detection programs in countries with meager resources," said senior author Rahim Esfandyarpour; "Our work has potential applications in single-cell studies, in tumor heterogeneity studies and, perhaps, in point-of-care cancer diagnostics -- especially in developing nations where cost, constrained infrastructure and limited access to medical technologies are of the utmost importance."

machine learning biotech ai ml & data engineering news

Bootstrap 5 Complete Course with Examples

Bootstrap 5 Tutorial - Bootstrap 5 Crash Course for Beginners

Nest.JS Tutorial for Beginners

Hello Vue 3: A First Look at Vue 3 and the Composition API

Building a simple Applications with Vue 3

Deno Crash Course: Explore Deno and Create a full REST API with Deno

How to Build a Real-time Chat App with Deno and WebSockets

Convert HTML to Markdown Online

HTML entity encoder decoder Online

How To Get Started With Machine Learning With The Right Mindset

You got intrigued by the machine learning world and wanted to get started as soon as possible, read all the articles, watched all the videos, but still isn’t sure about where to start, welcome to the club.

What is Machine learning and Why is it Important?

Machine learning is quite an exciting field to study and rightly so. It is all around us in this modern world. From Facebook’s feed to Google Maps for navigation, machine learning finds its application in almost every aspect of our lives. It is quite frightening and interesting to think of how our lives would have been without the use of machine learning. That is why it becomes quite important to understand what is machine learning, its applications and importance.

Learning AI/ML: The Hard Way

Learning AI/ML: The Hard Way. A learning guide on machine learning for beginners.

Key Aspects of Machine Learning Operations, Explained

Key Aspects of Machine Learning Operations, Explained. If you have ever worked or currently working in the IT field, then you definitely faced the common term «machine learning.

ML Programming Hacks that every Data Engineer should know

ML Programming Hacks that every Data Engineer should know. A wider Cheatsheet for Data Scientist & Machine Learning practitioners out there.