Research

Human Body-on-Chip Platform Enables In Vitro Prediction of Drug Behaviors in Humans

Drug development is an extremely arduous and costly process, and failure rates in clinical trials that test new drugs for their safety and efficacy in humans remain very high. According to current estimates, only 13.8% of all tested drugs demonstrate ultimate clinical success and obtain approval by the Food and Drug Administration (FDA).

Integrate Micro Chips for Electronic Skin

Human skin is a fascinating and multifunctional organ with unique properties originating from its flexible and compliant nature. It allows for interfacing with external physical environment through numerous receptors interconnected with the nervous system. Scientists have been trying to transfer these features to artificial skin for a long time, aiming at robotic applications.

Refining Breast Cancer Classification by Multiplexed Imaging

Breast cancer progression can vary significantly between patients. Even within the same tumor, different areas may be composed of different types of cells and characterized by different tumor structures. This heterogeneity makes it challenging to ascertain the severity of a tumor and assess its molecular subtype, thereby affecting the precision of diagnosis and the choice of the most effective treatment approach.

Edible 'Security Tag' to Protect Drugs from Counterfeit

Manufacturing prescription drugs with distinct markings, colors, shapes or packaging isn't enough to protect them from counterfeiting, U.S. Drug Enforcement Administration reports have shown. Purdue University researchers are aiming to stump counterfeiters with an edible "security tag" embedded into medicine.

Man versus Machine: Can AI do Science?

Over the last few decades, machine learning has revolutionised many sectors of society, with machines learning to drive cars, identify tumors and play chess - often surpassing their human counterparts. Now, a team of scientists based at the Okinawa Institute of Science and Technology Graduate University (OIST), the University of Munich and the CNRS at the University of Bordeaux have shown that

Artificial Intelligence (AI) can Detect Low-Glucose Levels via ECG without Fingerpick Test

A new technology for detecting low glucose levels via ECG using a non-invasive wearable sensor, which with the latest Artificial Intelligence can detect hypoglycaemic events from raw ECG signals has been made by researchers from the University of Warwick.

Smartphone Cameras can Speed Up Urinary Tract Infection Diagnosis

Biological Engineers at the University of Bath have developed a test that could help medics quickly diagnose urinary tract infections (UTIs), using a normal smartphone camera. Similar in principle to a pregnancy test, the process can identify the presence of harmful E. coli bacteria in a urine sample in just 25 minutes.

More eHealth News ...