The authors provide a useful integrated analytical approach to investigating MASLD focused on diverse multiomic integration methods. The strength of evidence for this new resource is solid, as ...
Are Machine Learning (ML) algorithms superior to traditional econometric models for GDP nowcasting in a time series setting? Based on our evaluation of all models from both classes ever used in ...
Metagenomic sequencing of stool samples from 225 hospital patients and healthy volunteers reveals the impact of different antimicrobial exposures on the gut microbiome.
Significance Compared with adults who smoke cigarettes, adults who vape nicotine are exposed to similar levels of nicotine ...
Shrinking governing boards, diversifying beyond alumni and business executives, and mandating free speech vetting in leadership hires could reverse the chill on free speech and equip trustees to ...
This review systematically examines the integration of machine learning (ML) and artificial intelligence (AI) in nanomedicine ...
Background Complete revascularisation has been associated with improved short-term outcomes in patients with coronary artery ...
Background Adverse childhood experiences (ACEs) are traumatic events that occur before a child reaches the age of 15 with ...
On the benchmark, Anthropic’s Claude Opus 4.5 Agent solved 37.4% whereas OpenAI’s GPT-5.1 Agent scored 43.1% on the full data ...
Background While maternal depression and anxiety have been linked to adverse childhood respiratory outcomes, the role of ...
The AI’s learned behavior shows a clear preference for high-density, mixed-use development, increasing the spatial clustering ...
An ongoing lawsuit filed against Workday shows that AI risk in hiring is not theoretical, writes Benjamin Shippen of BRG.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback