Development

New AI Toolkit is the 'Scientist that never Sleeps'

Researchers have developed a new AI-driven platform that can analyse how pathogens infect our cells with the precision of a trained biologist. The platform, HRMAn ('Herman'), which stands for Host Response to Microbe Analysis, is open-source, easy-to-use and can be tailored for different pathogens including Salmonella enterica.

Big Data Approach Shown to be Effective for Evaluating Autism Treatments

Researchers at Rensselaer Polytechnic Institute who developed a blood test to help diagnose autism spectrum disorder have now successfully applied their distinctive big data-based approach to evaluating possible treatments. The findings, recently published in Frontiers in Cellular Neuroscience, have the potential to accelerate the development of successful medical interventions.

This Is a Neuron on Nicotine

When a person takes a puff on a cigarette, nicotine floods into the brain, latching onto receptors on the surface of neurons and producing feelings of happiness. But nicotine does not simply stay on the surface of cells - the drug actually permeates into neural cells and alters them from the inside out. Now, a team of scientists has developed a protein sensor that glows in the presence of nicotine, allowing the researchers to

First EU Citizens Using ePrescriptions in other EU Country

The first EU patients can use digital prescriptions issued by their home doctor when visiting a pharmacy in another EU country: Finnish patients are now able to go to a pharmacy in Estonia and retrieve medicine prescribed electronically by their doctor in Finland.

Smart Microrobots that can Adapt to their Surroundings

One day we may be able to ingest tiny robots that deliver drugs directly to diseased tissue, thanks to research being carried out at EPFL and ETH Zurich. The group of scientists - led by Selman Sakar at EPFL and Bradley Nelson at ETH Zurich - drew inspiration from bacteria to design smart, biocompatible microrobots that are highly flexible.

AI Approach Outperformed Human Experts in Identifying Cervical Precancer

A research team led by investigators from the National Institutes of Health and Global Good has developed a computer algorithm that can analyze digital images of a woman's cervix and accurately identify precancerous changes that require medical attention. This artificial intelligence (AI) approach, called automated visual evaluation, has the potential to revolutionize cervical cancer screening, particularly in low-resource settings.

First Smartphone App to Detect Opioid Overdose and its Precursors

At least 115 people die every day in the U.S. after overdosing on opioids, according to the National Institute on Drug Abuse. And in 2016, illegal injectable opioids became the most common drug involved in overdose-related deaths. This spike has led to a national public health crisis and epidemic.

Research and Development News

New AI Toolkit is the 'Scientist that never Sleeps'

Big Data Approach Shown to be Effective for Evaluating Autism Treatments

This Is a Neuron on Nicotine

First EU Citizens Using ePrescriptions in other EU Country

Smart Microrobots that can Adapt to their Surroundings

AI Approach Outperformed Human Experts in Identifying Cervical Precancer

First Smartphone App to Detect Opioid Overdose and its Precursors

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