-
Treatment with orforglipron, an oral glucagon like peptide-1 receptor agonist, is associated with improvements of CV risk biomarkers in participants with type 2 diabetes or obesity without diabetes
CONCLUSION: Orforglipron treatment was associated with beneficial changes in CV risk markers in participants with T2D and in participants with overweight/obesity without T2D. (Clinicaltrials.gov: NCT05048719, NCT05051579). →
-
Study protocol for the Outcomes Post-Treatment: Impact on Motor Impairment of Sleep Efficiency in Spinal Cord Injury (OPTIMISE SCI) — a randomised controlled trial
INTRODUCTION: Spinal cord injury (SCI) has been linked to increased frequencies of sleep-related breathing disorders (SRBDs) (≤50% after paraplegia and ≤90% following tetraplegia). However, SRBDs have been under-recognised and undertreated among individuals with SCI. The OPTIMISE SCI (Outcomes Post Treatment: Impact on Motor Impairment of Sleep Efficiency in SCI) is an ongoing phase 3 clinical… →
-
Glucocorticoid treatment in early rheumatoid arthritis is independently associated with increased PCSK9 levels: data from a randomised controlled trial
CONCLUSION: Glucocorticoid treatment was associated with increased PCSK9 levels after 24 weeks. When compared with the bDMARD treatments, these increases were more pronounced in rheumatoid factor, anticitrullinated protein antibody and antinuclear antibody-positive patients. Our data provide a potential mechanistic link between glucocorticoid treatment and cardiovascular disease. →
-
How to Enable Function Calling in Mistral Agents Using the Standard JSON Schema Format
«`html How to Enable Function Calling in Mistral Agents Using the Standard JSON Schema Format In this tutorial, we will demonstrate how to enable function calling in Mistral Agents using the standard JSON schema format. By defining your function’s input parameters with a clear schema, you can make your custom tools seamlessly callable by the… →
-
Meet BioReason: The World’s First Reasoning Model in Biology that Enables AI to Reason about Genomics like a Biology Expert
Meet BioReason: The World’s First Reasoning Model in Biology that Enables AI to Reason about Genomics like a Biology Expert BioReason addresses a significant challenge in utilizing AI for genomics: the need for interpretable, step-by-step reasoning from complex DNA data. While DNA foundation models have shown proficiency in learning diverse sequence patterns for tasks like… →
-
Google AI Introduces Multi-Agent System Search MASS: A New AI Agent Optimization Framework for Better Prompts and Topologies
Google AI Introduces Multi-Agent System Search (MASS): A New AI Agent Optimization Framework for Better Prompts and Topologies Understanding the Target Audience The target audience for this article primarily includes AI researchers, business managers, and decision-makers in technology sectors interested in enhancing their understanding of artificial intelligence systems. These readers typically face challenges related to:… →
-
Methods and processes to develop and deliver a theory-informed education program for sustained behaviour change in emergency nursing
CONCLUSIONS: The theory-informed approach to the HIRAID® education program enabled development of a structured program and delivery in the dynamic and complex emergency department environment. The approach reported in this paper provides a blueprint for other researchers aiming to change behaviours in complex settings. →
-
Associations of Prediabetes, Diabetes and Glucose-Related Markers With Cognition and Neuroimaging in a 2-Year Multidomain Lifestyle Randomised Controlled Trial
CONCLUSIONS: Higher baseline dysglycaemia measures are linked to more deleterious changes in cognition. Specifically, OGTT measures may be the most sensitive for detecting subtle glycaemic abnormalities associated with both unfavourable cognitive and neuroimaging changes. However, HbA1c shows mixed associations with cognition and neuroimaging in people at risk of dementia without previously diagnosed diabetes. This study… →
-
ByteDance Researchers Introduce DetailFlow: A 1D Coarse-to-Fine Autoregressive Framework for Faster, Token-Efficient Image Generation
ByteDance Researchers Introduce DetailFlow: A 1D Coarse-to-Fine Autoregressive Framework for Faster, Token-Efficient Image Generation Autoregressive image generation has evolved significantly due to advancements in sequential modeling, initially seen in natural language processing. This approach generates images one token at a time, akin to constructing sentences in language models. The primary advantage lies in maintaining structural… →
-
The AI Tradeoff: Preserving Human Skills in an AI World
Hello and welcome to The GTM Newsletter by GTMnow – read by 50,000+ to scale their companies and careers. GTMnow shares insight around the go-to-market strategies responsible for explosive company growth. GTMnow highlights the strategies, along with the stories from the top 1% of GTM executives, VCs, and founders behind these strategies and companies. AI… →
