All news from Hematology & Oncology

The Formation of Giant Copper Deposit: Do Microbes Control That?

One of the major issues when studying ore deposits formed in surficial or near-surface environments is the relationship between ore-forming processes and bacteria. At a first glance, these environments appear to be a preferred place for the growth of microbial ecosystems because they potentially have large amounts of nutrients. However, studies have been restricted because of the low likelihood of microbe fossilization and because biomarkers are not always definitive.

Consequences of Repetitive Head Trauma: On The Brains Of Football Players

Professor Inga Koerte uses advanced medical imaging to study the immediate and long-term effects of repetitive head trauma on the brains of football players. In the following interview, she discusses her findings and their implications. One speaks of concussion if a physical impact on the skull causes any oscillatory motion of the brain within the intracranial liquid medium that surrounds it. This kind of movement alternately stretches and compresses the organ.

Opioids Are Best For Kids' Pain Relief: Parents Still Think

Headlines filled with frightening news of opioid abuse, overdoses, and reports that 90% of addictions start in the teen years could make any parent worry. Yet parents remain conflicted about opioids: while more than half express concern their child may be at risk for opioid addiction, nearly two-thirds believe opioids are more effective at managing their child's pain after surgery or a broken bone than non-prescription medication or other alternatives, according to a nationwide survey commissioned by the ASA.

PEDV Outbreaks: Predicted By Algorithm

Researchers from North Carolina State University have developed an algorithm that could give pig farms advance notice of porcine epidemic diarrhea virus (PEDV) outbreaks. The proof-of-concept algorithm has potential for use in real-time prediction of other disease outbreaks in food animals.

'Nowcasting' Technique Enables Highly Accurate Local Flu Surveillance

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.

A new study, led by the Computational Health Informatics Program (CHIP) at Boston Children's Hospital, combines two forecasting methods with machine learning (artificial intelligence) to estimate local flu activity. Results are published today in Nature Communications.