Understanding Generative AI: How It All Works

<!DOCTYPE html> How Does Generative AI Work? A Simple Guide body { font-family: Arial, sans-serif; line-height: 1.6; margin: 0; padding: 0; } .container { max-width: 800px; margin: 20px auto; padding: 20px; } h1, h2 { text-align: center; } p { text-align: justify; } img { display: block; margin: 0 auto; max-width: 100%; height: auto; } … Read more

Identification of multiple complications as independent risk factors associated with 1-, 3-, and 5-year mortality in hepatitis B-associated cirrhosis patients | BMC Infectious Diseases

Hsu YC, Huang DQ, Nguyen MH. Global burden of hepatitis B virus: current status, missed opportunities and a call for action. Nat Rev Gastroenterol Hepatol. 2023;20(8):524–37. Article  PubMed  Google Scholar  Alberts CJ, Clifford GM, Georges D, Negro F, Lesi OA, Hutin YJ, de Martel C. Worldwide prevalence of hepatitis B virus and hepatitis C virus … Read more

Study uncovers distinct blood protein signature in children with Long COVID

Pediatric long COVID marked by heightened inflammation, mirroring adult cases. Proteomic profiling achieved 93% accuracy in identifying affected children, paving the way for future diagnostic advancements. Study: Distinct pro-inflammatory/pro-angiogenetic signatures distinguish children with Long COVID from controls. Image Credit: Vitalii Stock/Shutterstock.com A recent study published in Pediatric Research investigated the unique inflammatory and angiogenetic protein markers in … Read more

Artificial intelligence methods applied to longitudinal data from electronic health records for prediction of cancer: a scoping review | BMC Medical Research Methodology

Retrieved studies Searching the 6 databases returned 1214 studies, of which 414 were duplicates. A further 61 studies were retrieved from reference and citation searches. Following screening and eligibility assessment, 35 studies were included in the final review. A flowchart showing the selection process is provided in Fig. 2. The number of studies published by … Read more

Machine learning could be a complementary decision-support tool for assessing depression

Background and goal: Depression impacts an estimated 18 million Americans each year, yet depression screening rarely occurs in the outpatient setting. This study evaluated an AI-based machine learning biomarker tool that uses speech patterns to detect moderate to severe depression, aiming to improve access to screening in primary care settings. Study approach: The study analyzed … Read more

Social interventions could lead to major drop in national HIV incidence

Researchers at the University of Massachusetts Amherst have quantified the impacts of a constellation of social factors on the spread of HIV. Their study, published in Health Care Management Science, found that a hypothetical 100% effective intervention addressing barriers to HIV treatment and care from depression, homelessness, individual and neighborhood poverty, education disparities, lack of … Read more

A Framework for Building Micro Metrics for LLM System Evaluation

Key Takeaways Each problem in the AI space has unique challenges. Once you’ve been serving production traffic, you’ll find edge cases and scenarios you want to measure. Consider models as systems: LLMs are part of broader systems. Their performance and reliability require careful observability, guardrails, and alignment with user and business objectives. … Read more

Feedback System Speeds Up Stroke Treatment

TOPLINE: Performance feedback reduces the time to endovascular thrombectomy (EVT) in patients with ischemic stroke, according to a Dutch study. METHODOLOGY: The researchers conducted a stepped-wedge cluster randomized PERFEQTOS trial in the Netherlands, which included 4747 consecutive adult patients with ischemic stroke who underwent EVT between January 2020 and June 2022. Hospitals started with usual … Read more

Scientists Discover AI’s Hidden “Occam’s Razor” for Simplified Solutions

A new Oxford University study reveals that deep neural networks (DNNs) naturally favor simpler solutions when learning, acting as an inbuilt form of Occam’s razor that balances the exponential growth of complex solutions. This simplicity bias allows DNNs to generalize well on real-world data but limits their performance on more complex patterns, hinting at deeper … Read more

AI Demonstrates Diagnostic Accuracy for Conditions Such as Psoriasis, Eczema

Artificial intelligence (AI) and machine learning show potential in diagnostic accuracy, patient outcomes, and reductions in cost for aesthetic medicine, new findings suggest, though limitations related to algorithm bias and data quality may require further research.1 These findings resulted from a new review of research into the implementation of AI in aesthetic medicine settings. Some … Read more