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Epileptic seizures not likely to be predicted by changes in brain wave patterns

Until now, certain brain wave patterns were regarded as indicators; however, a study by the University of Bonn did not find any evidence for this Epileptic seizures can probably not be predicted by changes in brain wave patterns that were previously assumed to be characteristic precursors.

25 Sep 2019

Researchers map the most common bacterial cause of pneumonia around the world

Researchers have mapped the most common bacterial cause of pneumonia around the world and revealed how these bacteria evolve in response to vaccination.

11 Jun 2019

With head injuries mounting, will cities put their feet down on e-scooters?

Almost half of the injured Austin scooter riders identified by the Centers for Disease Control and Prevention in its first-ever study of dockless electric scooters suffered a head injury, with 15% experiencing a traumatic brain injury.

2 May 2019

Study finds significant delays in reporting human cases of West Nile virus

Mount Sinai researchers found significant delays in reporting human cases of West Nile virus, hampering real-time forecasting of the potentially deadly mosquito-borne disease, according to a study in the JAMA Network Open in April.

26 Apr 2019

Innovative model identifies primate species with potential to transmit Zika in the Americas

In the Americas, primate species likely to harbor Zika - and potentially transmit the virus - are common, abundant, and often live near people. So reports a new study published today in Epidemics. Findings are based on an innovative model developed by a collaborative team of researchers from Cary Institute of Ecosystem Studies and IBM Research through its Science for Social Good initiative.

19 Mar 2019

Medication could mitigate side effects of chemotherapy for breast cancer patients

Researchers at the Stanford University School of Medicine have demonstrated a method of forecasting which breast cancer patients will suffer heart problems from a commonly used chemotherapy drug.

14 Mar 2019

Adopting AI in diagnosis and prognosis of disease could help extend people's lives

The adoption of artificial intelligence in the diagnosis and prognosis of disease could help to extend people's lives whilst providing significant savings for the NHS.

30 Jan 2019

Relationship between nurse work environment and patient safety

Lisa Smeds Alenius will defend her doctoral thesis on 22 January 2019 at Karolinska Institutet. Her thesis focuses on factors in the nurse work environment relating to quality of care and patient safety.

17 Jan 2019

New study compares performance of real-time infectious disease forecasting models

In what the authors believe is the first documented comparison of several real-time infectious disease forecasting models by different teams across many seasons, five research groups report this week that a majority of models consistently showed higher accuracy than historical baseline models.

16 Jan 2019

Study combines two forecasting methods with machine learning to estimate flu activity

Influenza is highly contagious and easily spreads as people move about and travel, making tracking and forecasting flu activity a challenge. While the CDC continuously monitors patient visits for flu-like illness in the U.S., this information can lag up to two weeks behind real time.

11 Jan 2019

New method to speed up genetic diagnosis of Huntington’s disease

Elongated segments of DNA cause Huntington's disease and certain other disorders of the brain. Researchers funded by the SNSF have developed a method to determine the length of the mutated genes quickly and easily.

10 Jan 2019

New, more effective method to prevent spread of MRSA infections

A research team led by scientists at the Columbia University Mailman School of Public Health report on a new method to help health officials control outbreaks of methicillin-resistant Staphylococcus aureus, or MRSA, a life-threatening antibiotic-resistant infection often seen in hospitals.

3 Jan 2019

CDC selects UMass Amherst biostatistician model that helps predict influenza outbreaks

When the Centers for Disease Control and Prevention was looking for a preferred flu prediction model for use in its flu-forecasting challenge this season, an influenza-tracking model developed by a team led by biostatistician Nicholas Reich at the University of Massachusetts Amherst rose to the top and will be one of its principal prediction tools, Reich says.

13 Dec 2018

HAMPB model has potential to improve flood forecast

With increasing floods and flash floods in recent decades, researchers are working to develop improved methods for flood prevention and warning. A new Journal of Flood Risk Management study points to the potential of an approach that integrates water level data reported by citizens into flood forecasting models.

6 Dec 2018

Report predicts life expectancy in 2040, Spain comes out on top

A new report from the Institute for Health Metrics and Evaluation (IHME) states that people born and living in Spain, Japan, and China are likely to live longer than those born and living in the United States.

18 Oct 2018

UNIST selects six extraordinary scholars to be induced as 'Rising-star Distinguished Professor'

UNIST is pleased to announce the selection of 6 extraordinary scholars to be induced as 'Rising-star Distinguished Professor', the highest honor the university can bestow upon faculty members who are under the age of 45.

12 Oct 2018

New model enables anyone to run powerful simulations, complex calculations easily

Imagine a world in which complex calculations that could help improve someone’s health, clean up our planet or test an entrepreneur’s big idea don’t require specific skills.

25 Sep 2018

DFG establishes nine new Research Units

The Deutsche Forschungsgemeinschaft is establishing nine new Research Units, following a decision by the Senate and the Joint Committee in Bonn.

25 Sep 2018

Health care companies' data could enable more accurate flu season forecasts

In an era when for-profit companies collect a wealth of data about us, new research from The University of Texas at Austin shows that data collected by health care companies could -- if made available to researchers and public health agencies -- enable more accurate forecasts of when the next flu season will peak, how long it will last and how many people will get sick.

20 Sep 2018

UTSA researchers develop new model to assist during chemical attacks

It was morning in Khan Sheikhoun, a small rural town in the north of Syria. Residents went about their lives when up above jets crossed the skies. Suddenly, a deadly plume of sarin gas descended upon the people.

11 Sep 2018