Artificial Intelligence Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

Showing 4,901 to 4,910 of 174,202 articles

Microfluidics for geosciences: metrological developments and future challenges.

Lab on a chip
This review addresses the main metrological developments over the past decade for microfluidics applied to geosciences. Microfluidic experiments for geosciences seek to decipher the complex interplay between coupled, multiphase, and reactive processe... read more 

NetStart 2.0: prediction of eukaryotic translation initiation sites using a protein language model.

BMC bioinformatics
BACKGROUND: Accurate identification of translation initiation sites is essential for the proper translation of mRNA into functional proteins. In eukaryotes, the choice of the translation initiation site is influenced by multiple factors, including it... read more 

A plasma proteomics-based candidate biomarker panel predictive of amyotrophic lateral sclerosis.

Nature medicine
Identifying a reliable biomarker for amyotrophic lateral sclerosis (ALS) is crucial for clinical practice. Here, in this cross-sectional study, we used the Olink Explore 3072 platform to investigate plasma proteomics as a biomarker tool for this neur... read more 

University english teaching evaluation using artificial intelligence and data mining technology.

Scientific reports
This work intends to drive reform and innovation in English teaching evaluation and support personalized English instruction. It utilizes deep learning (DL) and artificial intelligence (AI)-driven data mining technology to explore a reliable and effi... read more 

Insights and Outlook from the First Ethical, Legal, and Social Implication Symposium of the BBMRI-ERIC Academy at International Agency for Research on Cancer/World Health Organization.

Biopreservation and biobanking
The first Biobanking and BioMolecular resources Research Infrastructure-Academy Ethical, Legal, and Social Implications (ELSI)'s Symposium, held in June 2024 at IARC/WHO in Lyon, explored ethical, legal, and societal dimensions of biobanking and biom... read more 

Chat-IRB? How application-specific language models can enhance research ethics review.

Journal of medical ethics
Institutional review boards (IRBs) play a crucial role in ensuring the ethical conduct of human subjects research, but face challenges including inconsistency, delays, and inefficiencies. We propose the development and implementation of application-s... read more 

ReactionT5: a pre-trained transformer model for accurate chemical reaction prediction with limited data.

Journal of cheminformatics
Accurate chemical reaction prediction is critical for reducing both cost and time in drug development. This study introduces ReactionT5, a transformer-based chemical reaction foundation model pre-trained on the Open Reaction Database-a large publicly... read more 

Factors that influence technophobia in Chinese older patients with ischemic stroke: a cross-sectional survey.

BMC geriatrics
BACKGROUND: Older patients with ischemic stroke often have a large number of medical needs, technophobia refers to the irrational anxiety and fear of digital technologies such as mobile communication equipment, artificial intelligence and robots, res... read more 

A machine learning approach to predict self-efficacy in breast cancer survivors.

BMC medical informatics and decision making
PURPOSE: To determine predictors of self-efficacy in breast cancer survivors and identify vulnerable groups. read more 

Multi-stage framework using transformer models, feature fusion and ensemble learning for enhancing eye disease classification.

Scientific reports
Eye diseases can affect vision and well-being, so early, accurate diagnosis is crucial to prevent serious impairment. Deep learning models have shown promise for automating the diagnosis of eye diseases from images. However, current methods mostly us... read more