Sepsis in patients with cirrhosis carries an in-hospital mortality exceeding 40%, reflecting a pathophysiology distinct from ...
Aims To develop prediction models for identifying cases with poor visual outcomes after surgery for primary rhegmatogenous ...
Google's TabFM skips per-dataset training and still predicts on unseen tables, matching tuned baselines and cutting pipeline ...
A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...
AI agents such as OpenClaw are turning developer workstations into always-on edge servers. We test whether the Dell Pro Max ...
Background Adult-onset Still’s disease (AOSD) is a systemic autoinflammatory disorder lacking a gold-standard diagnostic ...
Artificial Intelligence is transforming GI endoscopy by improving detection accuracy, enhancing diagnosis, and supporting ...
But unlike most quants, I run a concentrated, fundamentals-based portfolio. More than 50% of my fund is invested in only eight companies, and they're the kinds of stocks that Peter Lynch and Charlie ...
Genome-wide association studies (GWAS) have catalogued hundreds of thousands of genetic variants linked to complex human traits and diseases, with more than 625,000 variant-trait associations across ...
Abstract: Epilepsy is a chronic brain disorder characterized by recurrent unprovoked seizures. The treatment for epilepsy is influenced by the types of seizures. Therefore, developing a reliable, ...
Abstract: Tree boosting is a highly effective and widely used machine learning method. A dynamic weighting multi-factor stock selection strategy based on XGBoost model is constructed. XGboost machine ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results