-
LLMs Struggle to Act on What They Know: Google DeepMind Researchers Use Reinforcement Learning Fine-Tuning to Bridge the Knowing-Doing Gap
LLMs Struggle to Act on What They Know: Google DeepMind Researchers Use Reinforcement Learning Fine-Tuning to Bridge the Knowing-Doing Gap Language models trained on vast internet-scale datasets have emerged as essential tools for language understanding and generation. Their potential extends to functioning as decision-making agents in interactive environments. When applied to environments requiring action choices,… →
-
Effects of customized orthoses on foot morphology and pressure in patients with accessory navicular syndrome
CONCLUSION: Customized orthoses effectively improved foot morphology and reduced plantar pressure in professional athletes with ANS compared to conventional insoles. These findings suggest that customized orthotic intervention provides faster and more significant pain relief for patients with ANS-related medial arch collapse. →
-
Effectiveness of an educational intervention on the components of the metabolic syndrome of adults with type 2 diabetes: non-randomized clinical trial
CONCLUSION: A nurse-led health promotion educational program was effective in improving glucose and high-density lipoprotein cholesterol levels among adults with type 2 diabetes and metabolic syndrome, as well as reducing the number of metabolic syndrome components in the participants. →
-
How to Build a Powerful and Intelligent Question-Answering System by Using Tavily Search API, Chroma, Google Gemini LLMs, and the LangChain Framework
How to Build a Powerful and Intelligent Question-Answering System How to Build a Powerful and Intelligent Question-Answering System In this tutorial, we demonstrate how to build a powerful and intelligent question-answering system by combining the strengths of Tavily Search API, Chroma, Google Gemini LLMs, and the LangChain framework. The pipeline leverages real-time web search using… →
-
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents
SWE-Bench Performance Reaches 50.8% Without Tool Use: A Case for Monolithic State-in-Context Agents Recent advancements in language model (LM) agents have demonstrated significant potential for automating complex real-world tasks across various domains, including software engineering, robotics, and scientific experimentation. These agents typically operate by proposing and executing actions through APIs. As tasks grow in complexity,… →
-
Assessment of guided lateral maxillary sinus lift procedure with simultaneous implant placement using stereolithographic surgical guide: a randomized controlled clinical study
CONCLUSION: According to the current study it has been concluded that there was no remarkable difference between the outcomes of both methods. The study protocol and its consent form were approved by the ethical committee of Suez Canal University (No.432/2021); and registered retrospectively on 23 April 2024 on PACTR (PACTR20240875463218) (pactr.samrc.ac.za/TrialDisplay.aspx?TrialID = 30442). →
-
Combining ranibizumab with calcium dobesilate to reduce injection frequency in diabetic macular edema treatment
CONCLUSION: Combination therapy with calcium dobesilate and ranibizumab decreased the frequency of intravitreal injections and led to greater improvements in BCVA and CMT compared to ranibizumab alone over 12 months. Both treatments were well-tolerated, with the combination therapy demonstrating a favorable safety profile. →
-
Controlled Intervention Study on Effects of an AI-Based App to Support Wound Care: First Results
The KIADEKU project combines datascience and the clinical expertise of wound experts to develop and evaluate an AI-application for incontinence-associated-dermatitis (IAD) and pressure ulcer (PU) wound care. The evaluation study is a controlled, non-randomized clinical trial that investigates the effects of the AI-based system on wound care time, guideline adherence and the task load of… →
-
Garadacimab improves long-term health-related quality of life in patients with hereditary angioedema
Background: Hereditary angioedema (HAE) attacks substantially impair health-related quality of life (HRQoL). Current World Allergy Organization and the European Academy of Allergy and Clinical Immunology guidelines goals include complete control and normalization of patients’ lives. Garadacimab (anti-activated factor XII monoclonal antibody) reduced the mean attack rate after first administration in the pivotal phase III (VANGUARD;… →
-
Becoming attack-free further improves health-related quality of life in patients with hereditary angioedema receiving garadacimab
Background: Hereditary angioedema (HAE) is associated with substantial health-related quality of life (HRQoL) impairments. Complete disease control and life normalization are key treatment goals. In previous studies, garadacimab prevented HAE attacks with a favorable safety profile and HRQoL improvements. Objective: HRQoL was evaluated in patients with HAE receiving garadacimab stratified by attack-free status. Methods: In… →
