AI Medical Compendium Journal:
BioEssays : news and reviews in molecular, cellular and developmental biology

Showing 1 to 8 of 8 articles

How the technologies behind self-driving cars, social networks, ChatGPT, and DALL-E2 are changing structural biology.

BioEssays : news and reviews in molecular, cellular and developmental biology Oct 15, 2024
The performance of deep Neural Networks (NNs) in the text (ChatGPT) and image (DALL-E2) domains has attracted worldwide attention. Convolutional NNs (CNNs), Large Language Models (LLMs), Denoising Diffusion Probabilistic Models (DDPMs)/Noise Conditio...
Humans Proteins Social Networking Deep Learning Neural Networks, Computer
View on PubMed DOI

Advances in computational and experimental approaches for deciphering transcriptional regulatory networks: Understanding the roles of cis-regulatory elements is essential, and recent research utilizing MPRAs, STARR-seq, CRISPR-Cas9, and machine learning has yielded valuable insights.

BioEssays : news and reviews in molecular, cellular and developmental biology May 8, 2024
Understanding the influence of cis-regulatory elements on gene regulation poses numerous challenges given complexities stemming from variations in transcription factor (TF) binding, chromatin accessibility, structural constraints, and cell-type diffe...
Humans Computational Biology CRISPR-Cas Systems Transcription Factors Machine Learning Gene Regulatory Networks Regulatory Elements, Transcriptional Gene Expression Regulation Animals
View on PubMed DOI

From pixels to insights: Machine learning and deep learning for bioimage analysis.

BioEssays : news and reviews in molecular, cellular and developmental biology Dec 6, 2023
Bioimage analysis plays a critical role in extracting information from biological images, enabling deeper insights into cellular structures and processes. The integration of machine learning and deep learning techniques has revolutionized the field, ...
Machine Learning Software Microscopy, Fluorescence Image Processing, Computer-Assisted Deep Learning
View on PubMed DOI

AI models and the future of genomic research and medicine: True sons of knowledge?: Artificial intelligence needs to be integrated with causal conceptions in biomedicine to harness its societal benefits for the field.

BioEssays : news and reviews in molecular, cellular and developmental biology Aug 11, 2021
The increasing availability of large-scale, complex data has made research into how human genomes determine physiology in health and disease, as well as its application to drug development and medicine, an attractive field for artificial intelligence...
Nuclear Family Artificial Intelligence Genomics Forecasting Humans
View on PubMed DOI

Biomedical Image Processing with Containers and Deep Learning: An Automated Analysis Pipeline: Data architecture, artificial intelligence, automated processing, containerization, and clusters orchestration ease the transition from data acquisition to insights in medium-to-large datasets.

BioEssays : news and reviews in molecular, cellular and developmental biology May 16, 2019
Here, a streamlined, scalable, laboratory approach is discussed that enables medium-to-large dataset analysis. The presented approach combines data management, artificial intelligence, containerization, cluster orchestration, and quality control in a...
Humans Leukocytes, Mononuclear Data Analysis Microscopy Metal Nanoparticles Electronic Data Processing Information Storage and Retrieval Image Processing, Computer-Assisted Deep Learning Gold Database Management Systems
View on PubMed DOI

The Wisdom of Networks: A General Adaptation and Learning Mechanism of Complex Systems: The Network Core Triggers Fast Responses to Known Stimuli; Innovations Require the Slow Network Periphery and Are Encoded by Core-Remodeling.

BioEssays : news and reviews in molecular, cellular and developmental biology Nov 23, 2017
I hypothesize that re-occurring prior experience of complex systems mobilizes a fast response, whose attractor is encoded by their strongly connected network core. In contrast, responses to novel stimuli are often slow and require the weakly connecte...
Adaptation, Physiological Memory Learning Humans Artificial Intelligence Neural Networks, Computer Neurons Models, Biological
View on PubMed DOI

Infantile Thinking Against a Childish Measure? Can Artificial Intelligence Help Knock Author Metrics into Shape?

BioEssays : news and reviews in molecular, cellular and developmental biology Jun 1, 2020
Artificial Intelligence
View on PubMed DOI

Too Many False Targets for MicroRNAs: Challenges and Pitfalls in Prediction of miRNA Targets and Their Gene Ontology in Model and Non-model Organisms.

BioEssays : news and reviews in molecular, cellular and developmental biology Apr 1, 2019
Short ("seed") or extended base pairing between microRNAs (miRNAs) and their target RNAs enables post-transcriptional silencing in many organisms. These interactions allow the computational prediction of potential targets. In model organisms, predict...
Humans Phylogeny Computational Biology Animals Models, Biological MicroRNAs Gene Ontology
View on PubMed DOI
Popular Topics
Popular Journals