Results 181 to 190 of about 157,658 (286)
Automated AI‐Based Lung Disease Classification Using Point‐of‐Care Ultrasound
Automated, AI‐based Lung Disease Classification using Point‐of‐Care Ultrasound. ABSTRACT Timely and accurate diagnosis of lung diseases is critical for reducing related morbidity and mortality. Lung ultrasound (LUS) has emerged as a useful point‐of‐care tool for evaluating various lung conditions.
Nixson Okila +9 more
wiley +1 more source
Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation. [PDF]
Smalheiser NR, Bonifield G.
europepmc +1 more source
Workflow of the proposed hybrid BWO‐Transformer framework for stock price prediction. ABSTRACT Accurately predicting stock prices remains a major challenge in financial analytics due to the complexity and noise inherent in market data. Feature selection plays a critical role in improving both computational efficiency and predictive performance. In this
Amirhossein Malakouti Semnani +3 more
wiley +1 more source
Mycoponics: Controlled Bioproduction Utilizing Biophysical, Solid‐State, Liquid Nutrient Delivery
Graphical Abstract and Lay Summary Mycoponic biotechnology, inspired by hydroponics—is enabled by antimicrobial ceramics as “substrate,” using a complete mycoponic media for continuous bioproduction of mycelial and mushroom products. Applications include food, mycoleather, and mycopharmaceuticals, representing 18% of the global market.
D. Marshall Porterfield +9 more
wiley +1 more source
Use of Automation Technologies and Data Mining in Speech Recognition for Autism
Pipeline analyzes clinical and naturalistic speech using LENA, wav2vec 2.0, and foundation‐model ASR (Whisper) to enable scalable ASD detection and severity estimation. Future work integrates benchmarking, privacy‐preserving collaboration (federated learning), and explainable, edge‐ready AI for clinically credible assessment and longitudinal monitoring.
Rongjie Mao, Yuncheng Zhu
wiley +1 more source
This study presents an AI‐driven framework integrating wearable technology and machine learning to monitor and predict mental health indicators in vocational college students during physical activity, enabling real‐time stress detection, personalized interventions, and early prevention strategies to enhance student well‐being and mental health outcomes.
Yanfeng Shang +2 more
wiley +1 more source
Validation of grizzly bear hair hormone profiles as a tool to monitor population demographics
We measured 16 steroid and thyroid hormone concentrations in grizzly bear hair to predict sex, age class, and reproductive status. Models were highly accurate when predicting sex and age class and showed promise for assessing reproductive status. Results illustrate the potential for hair hormone profiles as non‐invasive population monitoring tools ...
Abbey E. Wilson +10 more
wiley +1 more source
Beyond olfaction: New insights into human odorant binding proteins
Abstract Until today, the exact function of mammalian odorant binding proteins (OBPs) remains a topic of debate. Although their main established function lacks direct evidence in human olfaction, OBPs are traditionally believed to act as odorant transporters in the olfactory sense. Now, available RNA‐seq and proteomics data identified the expression of
Mifen Chen +5 more
wiley +1 more source
Feature Engineering for Domain Independent Named Entity Recognition and Biomedical Text Mining Applications [PDF]
Szarvas György
core
CONAN : Text Mining in the Biomedical Domain
This thesis is about Text Mining. Extracting important information from literature. In the last years, the number of biomedical articles and journals is growing exponentially. Scientists might not find the information they want because of the large number of publications.
openaire +2 more sources

