Article ID: 714598

A team at the University of Tsukuba studied a novel process for creating coherent lattice waves inside silicon crystals using ultrashort laser pulses.

Article ID: 714597

The Rutgers School of Public Health is excited to announce that Stephanie Shiau, PhD, will be joining the department of biostatistics and epidemiology as an instructor in August.

Article ID: 714474

This study, called a meta-analysis, combined the results of 21 randomized clinical trials with about 83,000 patients to look at whether vitamin D supplementation was associated with reduced risk of cardiovascular disease events such as heart attack or stroke.

Article ID: 714585

Three of the nation’s leading health and technology organizations have established a core set of data elements and recommended technical specifications (the Minimal Common Oncology Data Elements, or “mCODE”) that are essential for capturing and reporting the characteristics, treatments, and outcomes of every cancer patient and should be contained in each patient’s electronic health record (EHR).

Article ID: 714589

A new study performed in conjunction with the Harvey L. Neiman Health Policy Institute examines changing characteristics of utilization and potential disparities in US emergency department (ED) patients undergoing CT of the abdomen and pelvis (CTAP) for suspected urolithiasis.

Article ID: 714596

A group of astronomers led by Crystal Martin and Stephanie Ho of the University of California, Santa Barbara, has discovered a dizzying cosmic choreography among typical star-forming galaxies

Article ID: 714595

The unusual appearance of deep-sea fish like the oarfish or slender ribbonfish in Japanese shallow waters does not mean that an earthquake is about to occur, according to a new statistical analysis.

Article ID: 714593

Sea otters have low genetic diversity, which could endanger their health as a species, a UCLA-led team of life scientists has discovered.

Article ID: 714381

Investigators at Rutgers Cancer Institute of New Jersey have developed a computational method that uncovers clinically relevant gene expression patterns in large cohorts of breast cancer patients. This method, which is applicable to the analysis of all cancers, can robustly describe molecular processes that are associated with tumor subtypes and can identify predictive markers of response to treatment or disease recurrence.