Results 81 to 90 of about 194,487 (259)
Risk Assessment Tools and Data-Driven Approaches for Predicting and Preventing Suicidal Behavior
Risk assessment of suicidal behavior is a time-consuming but notoriously inaccurate activity for mental health services globally. In the last 50 years a large number of tools have been designed for suicide risk assessment, and tested in a wide variety of
Sumithra Velupillai +24 more
doaj +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
OxSpred, an eXtreme‐Gradient‐Boosting‐‐based supervised learning model, accurately annotates oxidative stress in innate immune cells at the single‐cell level, providing interpretable embeddings with significant biological relevance. This innovative tool revolutionizes the understanding of innate immune cell functions during inflammation and enhances ...
Po‐Yuan Chen, Tai‐Ming Ko
wiley +1 more source
The Scope of Big Data in One Medicine: Unprecedented Opportunities and Challenges
Advances in high-throughput molecular biology and electronic health records (EHR), coupled with increasing computer capabilities have resulted in an increased interest in the use of big data in health care.
Molly E. McCue, Annette M. McCoy
doaj +1 more source
A Hybrid Transfer Learning Framework for Brain Tumor Diagnosis
A novel hybrid transfer learning approach for brain tumor classification achieves 99.47% accuracy using magnetic resonance imaging (MRI) images. By combining image preprocessing, ensemble deep learning, and explainable artificial intelligence (XAI) techniques like gradient‐weighted class activation mapping and SHapley Additive exPlanations (SHAP), the ...
Sadia Islam Tonni +11 more
wiley +1 more source
ResearchConnect is an AI‐powered platform that automates researcher profiling, interdisciplinary team formation, and early‐stage research ideation. By extracting keywords from papers and web sources, it quickly clusters researchers into coherent teams and generates collaborative ideas using large language models. Validation on NSF‐funded projects shows
Akshay Vilas Jadhav +2 more
wiley +1 more source
ABSTRACT We examined the relationship between adverse childhood experiences (ACEs) and epigenetic age acceleration (EAA) in adulthood as measured by second and third generation epigenetic clocks by performing a systematic review of the literature. The electronic databases MEDLINE and EMBASE were searched on 17 July 2023.
Matthew Green +2 more
wiley +1 more source
ABSTRACT Background Olfactory dysfunction is common in aging and an early symptom of neurodegenerative diseases, but how structural (olfactory bulb [OB] volume) and functional (olfactory network [OFN] functional connectivity [FC]) brain features interact to shape odor identification ability remains unclear.
Weiyi Zeng +4 more
wiley +1 more source
Over one billion people worldwide suffer from obesity, and the number is continually rising. Animal models, especially mouse models, are crucial to identifying the genetic components of complex disorders and exploring the potential applications of these genetic findings.
Hanifa J. Abu‐Toamih Atamni +7 more
wiley +1 more source
The Age at Onset of LRRK2 p.Gly2019Ser Parkinson's Disease Across Ancestries and Countries of Origin
Objectives The objective of this study was to elucidate differences in the cumulative incidence of Leucine‐rich repeat kinase 2 (LRRK2) p.Gly2019Ser‐related Parkinson's disease (PD; LRRK2‐PD) between ancestries and countries. Methods We included 922 unrelated p.Gly2019Ser variant carriers (affected = 762 and unaffected = 160) from the Global Parkinson ...
Theresa Lüth +14 more
wiley +1 more source

