Behind the Paper
The real stories behind the latest research papers, from conception to publication, the highs and the lows
The effect of generic market entry on antibiotic prescriptions in the United States
Might static consumption of antibiotics upon generic entry require new policies to ensure predictable supply?
Exploring principles that govern biodiversity: An anaerobic benzene degrading microbial community in a 15-years old bioreactor
How can high biodiversity be maintained with just a few resources?
A collaborative approach that engages the community to develop digital biomarkers
Despite substantial efforts to develop digital biomarkers, benchmarking and validating these algorithms remains difficult. Open, crowd-sourced efforts through DREAM Challenges is one approach to speed the process.
What is the performance of different machine learning algorithms in predicting disease outcome among COVID-19 patients?
During the height of COVID-19 pandemic, clinicians were forced to make difficult treatment decisions, given the large number of patients and limited resources. To help guide treatment strategies, we evaluated the performance of 18 machine learning models in predicting COVID-19 patient outcomes.
