Chat (mouse)
- Known as:
- Chat (mouse)
- Catalog number:
- Y213534
- Product Quantity:
- 200ul
- Category:
- -
- Supplier:
- ABM
- Gene target:
- Chat (mouse)
Related genes to: Chat (mouse)
- Gene:
- CHAT NIH gene
- Name:
- choline O-acetyltransferase
- Previous symbol:
- -
- Synonyms:
- -
- Chromosome:
- 10q11.23
- Locus Type:
- gene with protein product
- Date approved:
- 1990-03-14
- Date modifiied:
- 2016-10-05
Related products to: Chat (mouse)
Related articles to: Chat (mouse)
- - Source: PubMed
Publication date: 2026/05/01
Thompson BenjaminBundell Shamini - While mobile health (mHealth) technologies can support individuals' physical activity management, they often present accessibility barriers for blind and low-vision (BLV) users. To address this gap, we developed the Personalised and Conversational Health Agent (PCHA) app for BLV users. - Source: PubMed
Publication date: 2026/05/01
Choi SoyoungSeo JooYoungKrishnan AshwathKamath SanchitaHernandez Manuel EnriqueKitsiou Spyros - Global strategies to improve newborn survival have expanded from basic Essential Newborn Care practices to more comprehensive approaches that address the specific needs of small and sick newborns. Despite advances, many low- and middle-income countries continue to face challenges in reducing neonatal mortality, necessitating supportive, evidence-based approaches such as quality improvement activities. Quality improvement focuses on empowering healthcare teams to identify and address gaps in care, with studies demonstrating its superior impact compared to traditional training and/or supervision. As we gain more experience applying it to improve newborn care, we need to learn from early efforts and adapt steps as required. This paper outlines four areas that program managers including teaching instructors can address to strengthen quality improvement efforts: (1) adapting quality improvement structures and training, (2) simplifying related tools and methods for ease of use at the frontline, (3) prioritising specific newborn health improvement goals with appropriate data and relevant indicators, and (4) strengthening health system elements to sustain the quality improvement initiatives. The paper describes challenges in each of these areas and proposes potential solutions. While point-of-care approaches are vital, it is equally essential to engage communities, foster leadership at all levels, promote equity and strengthen health systems, especially in low- and middle-income countries. This includes establishing regional and national technical bodies and strategies, working with ministries of health, stakeholders, and professional associations, to ensure sustainability, equity, and expansion of quality newborn care. - Source: PubMed
Publication date: 2026/05/01
Narayanan IndiraMehta RajeshLivesley NigelChitashvili Tamar - In this study, we examine how individuals utilize generative artificial intelligence (GAI) when seeking health-related information. Using a dataset of user-GAI chat logs available on Hugging Face, we analyzed real-world interactions in which users posed health-related questions to a generative model. We applied a combination of data and text-analytic methods to categorize these interactions, including supervised machine learning techniques such as Support Vector Machines (SVMs). SVMs were selected for their efficiency and strong performance in high-dimensional text classification tasks, and used to identify recurrent themes in user queries and interactions. We found that users frequently consult AI chatbots for symptom exploration, medical education, mental health support, and general health advice. The findings suggest that GAI tools may not only function as informational resources, but also as preliminary support tools that can shape users' health knowledge and encourage them to seek consultation with medical professionals. - Source: PubMed
Publication date: 2026/04/26
Wang Jade TChung Hyun WooDo Giang NYang Alan T - The purpose of this study was to examine the validity of measures obtained from the Sentence Diversity Priming Task (SDPT), a structured elicitation protocol for assessing sentence development under supported conditions. We compared measures from the SDPT and a play-based language sample and between late-talking (LT) toddlers and typically developing (TD) peers. We evaluated differences between the two sampling contexts and examined how measures obtained from the two contexts were related. - Source: PubMed
Publication date: 2026/04/30
Krok Windi CPreza TracyHarrington Emily KManning Brittany LWakschlag Lauren SNorton Elizabeth SHadley Pamela A