Controlled colonization of the human #gut with a genetically engineered microbial therapeutic

Editor’s summaryThe gut #microbiota has long been an aspirational target for clinical delivery of therapeutics. Successful therapy by this route depends on ensuring engraftment of the therapeutic organisms and their clearance after treatment. Whitaker et al. have engineered a strain of Bacteroides vulgatus, which is commonly found in the gut of healthy humans, with two… Continue reading Controlled colonization of the human #gut with a genetically engineered microbial therapeutic

#AI -guided patient stratification improves outcomes and efficiency in the AMARANTH #Alzheimer’s Disease clinical trial

Alzheimer’s Disease (AD) drug discovery has been hampered by patient heterogeneity, and the lack of sensitive tools for precise stratification. Here, we demonstrate that our robust and interpretable AI-guided tool (predictive prognostic model, PPM) enhances precision in patient stratification, improving outcomes and decreasing sample size for a AD clinical trial. The AMARANTH trial of lanabecestat,… Continue reading #AI -guided patient stratification improves outcomes and efficiency in the AMARANTH #Alzheimer’s Disease clinical trial

DunedinPACNI estimates the longitudinal Pace of #Aging from a single brain #image to track health and disease

To understand how aging affects functional decline and increases disease risk, it is necessary to develop measures of how fast a person is aging. Using data from the Dunedin Study, we introduce an accurate and reliable measure for the rate of longitudinal aging derived from cross-sectional brain magnetic resonance imaging, that is, the Dunedin Pace… Continue reading DunedinPACNI estimates the longitudinal Pace of #Aging from a single brain #image to track health and disease

Preventing #pressure #ulcers by increasing pressure: An unorthodox alternating-pressure mattress

Despite the devastating effects of pressure ulcers (PUs), little is understood about how they can be prevented using alternating-pressure (AP) mattresses. Such mattresses typically aim to minimize the pressures imparted while alternating between different states of pressure to prevent areas of tissue from being persistently occluded of blood flow. In this work, we built an… Continue reading Preventing #pressure #ulcers by increasing pressure: An unorthodox alternating-pressure mattress

Hybrid hydrogel–extracellular matrix scaffolds identify biochemical and mechanical signatures of #cardiac #ageing

Extracellular matrix remodelling of cardiac tissue is a key contributor to age-related cardiovascular disease and dysfunction. Such remodelling is multifaceted including changes to the biochemical composition, architecture and mechanics, clouding our understanding of how and which extracellular matrix properties contribute to a dysfunctional state. Here we describe a decellularized extracellular matrix–synthetic hydrogel hybrid scaffold that… Continue reading Hybrid hydrogel–extracellular matrix scaffolds identify biochemical and mechanical signatures of #cardiac #ageing

Your #Brain on ChatGPT: Accumulation of #Cognitive Debt when Using an #AI Assistant for Essay Writing Task

This study explores the neural and behavioral consequences of LLM-assisted essay writing. Participants were divided into three groups: LLM, Search Engine, and Brain-only (no tools). Each completed three sessions under the same condition. In a fourth session, LLM users were reassigned to Brain-only group (LLM-to-Brain), and Brain-only users were reassigned to LLM condition (Brain-to-LLM). A… Continue reading Your #Brain on ChatGPT: Accumulation of #Cognitive Debt when Using an #AI Assistant for Essay Writing Task

Human– #AI collectives most accurately #diagnose #clinical vignettes

Large language models (LLMs) have great potential for high-stakes applications such as medical diagnostics but face challenges including hallucinations, biases, and lack of common sense. We address these limitations through a hybrid human–AI system that combines physicians’ expertise with LLMs to generate accurate differential medical diagnoses. Analyzing over 2,000 text-based medical case vignettes, hybrid collectives… Continue reading Human– #AI collectives most accurately #diagnose #clinical vignettes

Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting

Question  Is clinical use of artificial intelligence (AI)–generated draft radiograph reports associated with documentation efficiency, clinical accuracy, textual quality, and ability to promptly detect pneumothorax requiring intervention?Findings  In this cohort study, in 11 980 model-assisted radiograph interpretations in live clinical care, model use was associated with a 15.5% documentation efficiency improvement, with no change in radiologist-evaluated… Continue reading Efficiency and Quality of Generative #AI–Assisted #Radiograph Reporting