Results 41 to 50 of about 48,199 (261)
Smart Exploration of Perovskite Photovoltaics: From AI Driven Discovery to Autonomous Laboratories
In this review, we summarize the fundamentals of AI in automated materials science, and review AI applications in perovskite solar cells. Then, we sum up recent progress in AI‐guided manufacturing optimization, and highlight AI‐driven high‐throughput and autonomous laboratories.
Wenning Chen +4 more
wiley +1 more source
This study reveals that sampling strategy (i.e., sampling size and approach) is a foundational prerequisite for building accurate and generalizable AI models in peptide discovery. Reaching a threshold of 7.5% of the total tetrapeptide sequence space was essential to ensure reliable predictions.
Meiru Yan +3 more
wiley +1 more source
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova +4 more
wiley +1 more source
Background Induction of labor is a process of artificially initiating labor to attain vaginal birth. Despite its vital role in the reduction of maternal mortality, the failure rate of induction and its contributing factors were not well studied in ...
Tsion Tadesse +3 more
doaj +1 more source
Autonomous X‐Ray Fluorescence Mapping for Nanoscale Chemical Speciation of Fine Particulate Matter
We present X‐AutoMap, an autonomous X‐ray fluorescence mapping framework that integrates real‐time analysis with rule‐based computer vision to selectively target chemically relevant regions. By avoiding background‐dominated areas, the method reduces acquisition time by fourfold while enabling accurate particle‐level speciation.
Carlos Deleon +3 more
wiley +1 more source
The role of antioxidants in high risk pregnancy [PDF]
The article describes the current understanding of the oxidative stress and its influence on the development of pregnancy complications: premature labor, preterm premature rupture of the membranes, preeclampsia, placental insufficiency, intrauterine ...
I V Bakhareva
doaj
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
The Evaluation of the Effect of Urinary Tract Infection on Preterm Labor
Urinary infection is a predisposing factor of preterm labor and preterm infant has high mortality & morbidity. We have studied effect of urinary infection on preterm labor in a case-control study in Fatemieh hospital of Hamadan in 1999.
Shohreh Alimohammadi
doaj
Vaginal Microbiota in Short Cervix Pregnancy: Secondary Analysis of Pessary vs. Progesterone Trial
Background/Objectives: Preterm birth (PTB) is a leading cause of neonatal mortality, particularly in women with a short cervix. Vaginal dysbiosis has been associated with increased PTB risk. Progesterone (PR) and Arabin pessary (PE) are commonly used for
Antonio G. Amorim Filho +6 more
doaj +1 more source
Assessment and Management of Spontaneous Preterm Labor
Introduction One of the most significant contributors to neonatal morbidity and mortality is preterm labor and subsequent delivery. For any obstetric provider, this is among the most important diagnostic and management skills to develop quickly so as to ...
Hana Cobb +3 more
doaj +1 more source

