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New AI system can predict air pollution levels hours in advance

An unusual concept for us here in the UK, but it is a genuine concern for communities all over the world with air pollution killing an estimated seven million people every year.

18 Mar 2020

TTP plc establishes new partnership to enable better clinical management of patients with atrial fibrillation

TTP plc, a leading independent technology and product development company, today announced it has established a partnership with NHS Highland and The University of the Highlands and Islands, to use clinical data interpretation and machine learning algorithms to predict which patients with atrial fibrillation are able to be successfully treated using electrical cardioversion.

17 Mar 2020

Scientists use artificial intelligence to create new proteins unseen in nature

Researchers have presented a artificial intelligence method for developing new proteins that have never been seen in nature.

17 Mar 2020

Researchers develop new kind of CRISPR screen technology to target RNA

CRISPR-based genetic screens have helped scientists identify genes that are key players in sickle-cell anemia, cancer immunotherapy, lung cancer metastasis, and many other diseases.

16 Mar 2020

UC Riverside biochemist and Atomwise form new joint venture

Over the past few years, biochemist John Jefferson Perry at the University of California, Riverside, has collaborated on a number of projects with Atomwise Inc., a company that uses artificial intelligence, or AI, for drug discovery.

13 Mar 2020

Language used on Facebook changes before emergency department visit

A new study published in Scientific Reports reveals that the language people use on Facebook subtly changes before they make a visit to the emergency department.

12 Mar 2020

Blood test for microbial DNA could warn of cancer

A new study published in the journal Nature on March 11, 2020, could transform the currently held views on cancer causation and diagnosis. The researchers have come up with a new technique to detect the presence and type of cancer by looking at microbial DNA circulating in the blood of the person being screened.

11 Mar 2020

Microbial DNA in the blood could help identify who has cancer

When Gregory Poore was a freshman in college, his otherwise healthy grandmother was shocked to learn that she had late-stage pancreatic cancer. The condition was diagnosed in late December. She died in January.

11 Mar 2020

Computer program analyzes blood plasma to identify weight gain biomarkers

Researchers at the University of Campinas in São Paulo State, Brazil, have developed a computer program that analyzes molecules in blood plasma to search for biomarkers that identify individuals who are at risk of becoming overweight and developing obesity-related diseases.

10 Mar 2020

New Europe-wide report explores the impact of AI on healthcare practitioners

A new report from EIT Health and McKinsey & Company has exposed an urgent need to attract, educate and train a generation of data literate healthcare professionals, whilst up-skilling the current workforce if we are to fully realize the transformative potential of Artificial Intelligence (AI).

10 Mar 2020

Urine test could help men avoid unnecessary prostate cancer biopsies

Unnecessary prostate cancer biopsies could be reduced by 60 percent thanks to new research from the University of East Anglia.

9 Mar 2020

Machine learning has potential to enhance the diagnosis of mastitis infections in cows

The new study, published today in Scientific Reports, has found that machine learning has the potential to enhance and improve a veterinarian's ability to accurately diagnose herd mastitis origin and reduce mastitis levels on dairy farms.

9 Mar 2020

New AI system can evaluate endoscopic findings of ulcerative colitis with accuracy

Assessments of patients with ulcerative colitis, which is a type of inflammatory bowel disease, are usually conducted via endoscopy and histology. But now, researchers from Japan have developed a system that may be more accurate than existing methods and may reduce the need for these patients to undergo invasive medical procedures.

6 Mar 2020

Deep learning algorithm to enhance mammography screening interpretation

The study is based on the results obtained in the Digital Mammography DREAM Challenge, an international competition led by IBM where researchers from the Instituto de Física Corpuscular have participated along with scientists from the UPV's Institute of Telecommunications and Multimedia Applications.

5 Mar 2020

Study suggests guidelines to enhance content of educational videos on chronic conditions

Many people with chronic health conditions search social media, including YouTube videos, to learn more about how to manage their diagnoses. But these videos differ in how well they communicate information and hold viewers' attention.

3 Mar 2020

Study explores ways to predict patients' risk of future readmissions

Recurrent, unplanned readmissions to the hospital -- which happen when patients return shortly after discharge and are readmitted for the same or a related condition -- are a challenge worldwide.

3 Mar 2020

New method maps 3D forces exerted by tiny cell clusters

A team of researchers has developed a new technique to map the three-dimensional forces that clusters of human cells exert on their surrounding environment. The method could potentially help scientists better understand how tissue forms, how wounds heal or how tumors spread.

3 Mar 2020

ORNL story tips on antidote chasing, traffic control and automatic modeling

In the most comprehensive, structure-based approach to date, a team of scientists may have discovered a new family of antidotes for certain poisons that can mitigate their effects more efficiently compared with existing remedies.

2 Mar 2020

Artificial intelligence could improve efficiencies and precision in sleep medicine

Artificial intelligence has the potential to improve efficiencies and precision in sleep medicine, resulting in more patient-centered care and better outcomes, according to a new position statement from the American Academy of Sleep Medicine.

2 Mar 2020

New research cluster aims to use mass spectrometry to provide insights in systems medicine

The Mainz University Medical Center and Johannes Gutenberg University Mainz are establishing the interdisciplinary research cluster entitled "Data-Independent Acquisition-based Systems Medicine (DIASyM): Mass Spectrometry for High-Throughput Deep Phenotyping of Heart Failure Syndrome".

28 Feb 2020