Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/d41586-023-01883-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Neuromorphic computing is a brain-inspired approach to hardware and algorithm design that efficiently realizes artificial neural networks. Neuromorphic designers apply the principles of biointelligence discovered by neuroscientists to design efficient computational systems, often for applications with size, weight and power constraints. With this research field at a critical juncture, it is crucial to chart the course for the development of future large-scale neuromorphic systems.
View Article and Find Full Text PDFInterPro: the protein sequence classification resource in 2025.
Nucleic Acids Res
January 2025
European Molecular Biology Laboratory, European Bioinformatics Institute (EMBL-EBI), Wellcome Genome Campus, Hinxton CB10 1SD, UK.
InterPro (https://www.ebi.ac.
View Article and Find Full Text PDFMetrics reloaded: recommendations for image analysis validation.
Nat Methods
February 2024
German Cancer Research Center (DKFZ) Heidelberg, HI Helmholtz Imaging, Heidelberg, Germany.
Increasing evidence shows that flaws in machine learning (ML) algorithm validation are an underestimated global problem. In biomedical image analysis, chosen performance metrics often do not reflect the domain interest, and thus fail to adequately measure scientific progress and hinder translation of ML techniques into practice. To overcome this, we created Metrics Reloaded, a comprehensive framework guiding researchers in the problem-aware selection of metrics.
View Article and Find Full Text PDFChatGPT in healthcare: A taxonomy and systematic review.
Comput Methods Programs Biomed
March 2024
Institute for Artificial Intelligence in Medicine, University Hospital Essen (AöR), Girardetstraße 2, 45131 Essen, Germany; Center for Virtual and Extended Reality in Medicine (ZvRM), University Hospital Essen, University Medicine Essen, Hufelandstraße 55, 45147 Essen, Germany. Electronic address:
Article Synopsis
- The release of ChatGPT by OpenAI has generated significant interest among the public and medical professionals, showcasing the ‘productization’ of advanced technologies that make AI more accessible.
- A systematic review of publications on ChatGPT's applications in healthcare reveals it performs only moderately and is not reliable for clinical use, as it wasn't designed for such applications.
- The study suggests that developing specialized NLP models trained on biomedical datasets is a better approach for addressing serious clinical needs.
An encyclopedia of enhancer-gene regulatory interactions in the human genome.
bioRxiv
November 2023
Department of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Article Synopsis
- - This study identifies over 13 million interactions between transcriptional enhancers and their target genes across various cell types and tissues, which is crucial for understanding how gene regulation influences diseases.
- - Utilizing a new predictive model called ENCODE-rE2G, the researchers achieved high accuracy in predicting enhancer-gene interactions, supported by a robust dataset from CRISPR experiments and genetic mapping.
- - The findings highlight not only the role of enhancers and their contacts with promoters but also additional factors like promoter types and enhancer interactions that affect gene regulation, creating a detailed resource for future genetic research.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!