Humans not only relish the sweet, savory and saltiness of foods, but they are influenced by the environment in which they eat.

An artificial intelligence (AI) approach based on deep learning convolutional neural network (CNN) could identify nuanced mammographic imaging features specific for recalled but benign (false-positive) mammograms and distinguish such mammograms from those identified as malignant or negative.

Researchers have used a combination of social media and transport data to predict the likelihood that a given retail business will succeed or fail.

A move to digitally scan 100% of slides by Leeds Teaching Hospitals NHS Trust Pathology Lab has been hailed as a crucial step to faster and better diagnosis of cancer.

Researchers have developed the first example of a bioelectronic medicine: an implantable, biodegradable wireless device that speeds nerve regeneration and improves the healing of a damaged nerve.

Details about the HIV virus capsid structure and how it develops helps researchers identify small molecule as potential treatment target.

The lipidome refers to the totality of lipids in cells. In this article, PREMIER Biosoft's Sanjib Meitei explains how his team developed a new technique that can quantitate and separate lipidome sammples in just 15 minutes.

Being able to make conclusions about data trends is one of the most important steps in both business and science. Through the magic of least sums regression, and with a few simple equations, we can calculate a predictive model that can let us estimate our data and give us much more power over it. If you want a simple explanation of how to calculate and draw a line of best fit through your data, read on!

Integrating new technologies into laboratory workflows can be a complex transition. This article outlines why, when it comes to diagnosing infections, it's an investment worth making.

Mass spectrometry imaging (MSI) is a powerful tool increasingly being used in many fields including cancer research, biomarker discovery and drug development. This article explains why MSI is the technique of choice in many labs, discusses its use in research, and covers how some inherent challenges are being addressed.

New technologies are driving laboratory automation to improve efficiency, shorten time to FDA approval and reduce the number of technicians needed in the lab – driving overall development costs down.

Artificial intelligence (AI) has begun to transform the world of healthcare and researchers across the globe are now dedicated to discovering its potential. This technology has particularly struck a chord with cancer research surrounding early detection, a long-standing concern for the cancer community.