BACKGROUND AND PURPOSES: Patellofemoral pain syndrome (PFPS) is a prevalent condition among physically active females and is often associated with reduced hip and knee muscle strength, altered biomechanics, and pain-related disability. Weight-bearing exercise programs may enhance neuromuscular control and functional outcomes, but their effects on multiple objective and subjective measures have not been comprehensively studied… →

CONCLUSION: In this etiologically mixed cohort of critically ill adults, unreactive EEG predicted unfavorable outcome at 6 months with high specificity. EEG reactivity may reduce prognostic uncertainty not only for patients with HIBI, but also for other types of acute brain injury, such as TBI and ICH. →

CONCLUSIONS: These findings suggest that duloxetine is as effective as amitriptyline for managing CPP syndrome in women, with the added advantage of a more favorable safety profile. →

CONCLUSION: The risk of postspinal hypotension in parturients with overactive bladder is higher. Higher caution must be taken for hypotension after SA intervention in patients with over active bladder. →

CONCLUSION: NSF and PBMT reduced sensitivity associated with MIH and provided immediate pain relief. However, NSF was superior due to its longer-lasting effects on sensitivity and additional benefit in plaque reduction. →

CONCLUSION: Both glass ionomer and resin-based sealants and PBM are effective in reducing hypersensitivity associated with MIH. →

Managing actively bleeding gastric varices (GV) is clinically challenging. This study assessed the safety and efficacy of endoscopic band ligation (EBL) using large-volume ligators compared with endoscopic variceal obturation (EVO) in managing actively bleeding GV. Patients who were diagnosed with active GV bleeding via endoscopy and underwent EBL with large-volume band ligators or EVO were… →

Building a Comprehensive AI Agent Evaluation Framework with Metrics, Reports, and Visual Dashboards In this tutorial, we walk through the creation of an advanced AI evaluation framework designed to assess the performance, safety, and reliability of AI agents. We begin by implementing a comprehensive AdvancedAIEvaluator class that leverages multiple evaluation metrics, such as semantic similarity,… →
Implementing Self-Refine Technique Using Large Language Models (LLMs) This tutorial demonstrates how to implement the Self-Refine technique using Large Language Models (LLMs) with Mirascope, a powerful framework for building structured prompt workflows. The Self-Refine technique is a prompt engineering strategy where the model evaluates its own output, generates feedback, and iteratively improves its response based… →
«`html It’s Okay to Be “Just a Wrapper”: Why Solution-Driven AI Companies Win In today’s rapidly evolving AI landscape, many founders and observers find themselves preoccupied with the idea that successful startups must build foundational technology from scratch. This narrative is particularly prevalent among those launching so-called “LLM wrappers” — companies whose core offering builds… →