Results 101 to 110 of about 141,627 (286)
Systemic sclerosis (SSc) is a rare autoimmune disease defined by immune dysregulation, vasculopathy, and progressive fibrosis of the skin and internal organs. Despite advances in care, major complications such as interstitial lung disease (ILD) and myocardial involvement remain the leading causes of morbidity and mortality.
Cristiana Sieiro Santos +2 more
wiley +1 more source
Background Large language model (LLM) offer promise in addressing layperson queries related to cardiovascular disease (CVD) prevention. However, the accuracy and consistency of information provided by current general LLMs remain unclear.
Hongwei Ji +16 more
doaj +1 more source
Clinical, histological, and serological predictors of renal function loss in lupus nephritis.
Objective Kidney survival is the ultimate goal in lupus nephritis (LN) management, but long‐term predictors remain inadequately studied, requiring long‐term follow‐up. This study aimed to identify baseline and early longitudinal predictors of kidney survival in the Accelerating Medicines Partnership LN longitudinal cohort.
Shangzhu Zhang +21 more
wiley +1 more source
ChatGPT can generate poems; therefore, the implications for English poetry classes must be investigated in more detail. The purpose of this multiphase mixed methods research was fourfold, namely (a) to explore ChatGPT-3.5’s poem generating and ...
Christina Johanna van Staden
doaj +1 more source
Analisis Jawaban Artificial Intelligence ChatGPT OpenAI Pada Materi Pendidikan Agama Islam Kelas X SMA [PDF]
Dalam penelitian ini penulis berniat untuk mengkaji tentang jawaban yang diberikan oleh Artificial Intelegence ChatGPT OpenAI tentang materi Pendidikan Agama Islam kelas X SMA, untuk melihat apakah sesuai dengan subtansi ajaran Islam dan valid secara ...
Mufrih Almunadi, Zulfatmi
core +2 more sources
Unleashing the Power of Machine Learning in Nanomedicine Formulation Development
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore +7 more
wiley +1 more source
Students and researchers are increasingly relying on ChatGPT as a tool to search for information, generate content, make translations and offer research support.
Klint Allen Mariñas +4 more
doaj +1 more source
PERSEPSI SISWA TERHADAP PENGGUNAAN CHAT GPT SEBAGAI BELAJAR DI ERA DIGITAL [PDF]
The development of artificial intelligence (AI), particularly ChatGPT, has brought significant changes to the world of education. This research aims to analyze the influence of ChatGPT usage on the critical thinking skills of vocational high school ...
Asisah, Nur Asisah +2 more
core +2 more sources
SI‐bioATRP in Mesoporous Silica for Size‐Exclusion Driven Local Polymer Placement
An enzyme‐catalyzed surface‐initiated atom transfer radical polymerization (SI‐bioATRP) of an anionic monomer within mesoporous silica particles, using hemoglobin as a catalyst, allows for controlling the location of the formed polymer via size‐exclusion effects between the nanopores and the biomacromolecules, thereby opening routes to functional ...
Oleksandr Wondra +8 more
wiley +1 more source
A multinational study on the factors influencing university students’ attitudes and usage of ChatGPT
Artificial intelligence models, like ChatGPT, have the potential to revolutionize higher education when implemented properly. This study aimed to investigate the factors influencing university students’ attitudes and usage of ChatGPT in Arab countries ...
Maram Abdaljaleel +20 more
doaj +1 more source

