blinx, a new method developed by researchers at HHMI's Janelia Research Campus, counts the individual molecules contained in a single spot of light detected by a fluorescence microscope—a quantity important for understanding the underlying biology of a living system.

A research team has revealed that yellow catfish populations across China show high overall genetic diversity but low genetic differentiation, with geographic location playing a key role in shaping genetic patterns.

About The Study: Evidence from this systematic review and meta-analysis indicates that paternal mental distress is a potentially modifiable predictor of child development. Reducing mental distress in fathers perinatally is thus an important target for preventative interventions aiming to support fathers during the transition to parenthood and promote the health and well-being of next-generation offspring. 

About The Study: This longitudinal cohort study found that large life expectancy differences between American Indian and Alaska Native individuals and other U.S. residents have been underestimated due to racial misclassification on death certificates, resulting in the statistical erasure of Indigenous people in routine vital statistics. 

In a new study in Marketing Science, researchers at Carnegie Mellon University investigated the role of product ranking systems on e-commerce platforms in influencing the ability of certain pricing algorithms to charge higher prices. The study’s findings suggest that even absent price discrimination, personalized ranking systems may not benefit consumers.

Cambridge, MA, June 16 — Insilico Medicine(“Insilico”), a clinical-stage generative artificial intelligence (AI)-driven drug discovery company, today announced the close of its Series E financing round at a total of around $123 million, surpassing its initial target amid strong investor interest. The oversubscribed series E round further recognizes Insilico’s unique dual-engine business model, which combines a generative AI platform with deep in-house drug discovery capabilities to continuously enhance reinforcement learning, strengthen Pharma.AI, and drive scientific innovation.