artificial intelligence

Submitted by [email protected] on Thu, 10/15/2020 - 12:00 PM

As the influenza season approaches, artificial intelligence (AI) tools and their developers are up for a test. Will AI tools analyzing symptom data, x-rays, and scans be able to distinguish an influenza patient from those with COVID-19?

Content Source: STAT

Content Author: Casey Ross

Submitted by [email protected] on Wed, 09/23/2020 - 12:00 PM

An artificial intelligence algorithm 'ProteinSolver,' developed by computational biologists at the University of a neural network graph designed to create new proteins which mimics the Japanese puzzle "Sudoku." ProteinSolver computes novel amino-acid sequences for any protein fold known to be geometrically stable, but the end goal is to engineer novel protein structures with entirely new biological functions as new therapeutics.

Content Source:

Content Author: University of Toronto

Submitted by [email protected] on Fri, 05/22/2020 - 12:00 PM

Artificial Intelligence (AI) has the potential to speed up the time to bring a vaccine to market by accelerating the process of human trials.  

Content Source: WIRED

Content Author: RAY KURZWEIL

Submitted by [email protected] on Tue, 09/24/2019 - 08:28 AM

Content Source: Terrapinn

Event Date:

Submitted by [email protected] on Wed, 09/04/2019 - 12:00 PM

Software helps sharpen images taken under the microscope to allow researchers to see cells clearly.   

Content Author: Rebecca Robbins

Submitted by [email protected] on Mon, 08/12/2019 - 12:00 PM

Using artificial intelligence, scientists created a tool to detect banana diseases and pests with a 90 percent success rate. 

Content Source: Science Daily

Content Author: International Center for Tropical Agriculture (CIAT)

Submitted by nbertini on Tue, 07/23/2019 - 12:00 PM

According to a study conducted at Saint Louis University, artificial intelligence (AI) has the ability to analyze routinely captured data to monitor handwashing compliance within hospitals and provide feedback to individual healthcare workers.

Content Source: AI in Healthcare

Content Author: Dave Pearson

Submitted by [email protected] on Mon, 06/24/2019 - 12:00 PM

As microbial geneticists start to utilize machine learning to analyze their data, microbiologist Nick Loman of the University of Birmingham cautions that scientists have plunged ahead with using artificial intelligence without fully understanding its benefits and limitations.

Content Source: Scientist

Content Author: Carrie Arnold

Submitted by [email protected] on Tue, 05/21/2019 - 12:00 PM

A consortium of14 organizations will develop an Australia-wide antimicrobial resistance knowledge engine to anticipate outbreaks and inform interventions.

Content Source: UTS

Content Author: unknown

Submitted by [email protected] on Mon, 02/18/2019 - 12:00 PM

HRMAn uses deep neural networks to analyse complex patterns in images of pathogen and human ('host') cell interactions, pulling out the same detailed characteristics that scientists do by-hand.

Content Source: PTI

Content Author: unknown