AIMC Topic: Regenerative Medicine
Clear Filters Showing 11 to 20 of 26 articles
Biological Robots: Perspectives on an Emerging Interdisciplinary Field.
Soft robotics
Apr 20, 2023
Advances in science and engineering often reveal the limitations of classical approaches initially used to understand, predict, and control phenomena. With progress, conceptual categories must often be re-evaluated to better track recently discovered...
Predicting multipotency of human adult stem cells derived from various donors through deep learning.
Scientific reports
Dec 14, 2022
Adult stem cell-based therapeutic approaches have great potential in regenerative medicine because of their immunoregulatory properties and multidifferentiation capacity. Nevertheless, the outcomes of stem cell‑based therapies to date have shown inco...
Implementing robotics and artificial intelligence.
eLife
Jul 20, 2022
An automated platform for cell culture combines robotics and artificial intelligence to optimize cell culture protocols and reliably produce specific cell types that could be used for regenerative medicine treatments.
The future of bone regeneration: integrating AI into tissue engineering.
Biomedical physics & engineering express
Jul 30, 2021
Tissue engineering is a branch of regenerative medicine that harnesses biomaterial and stem cell research to utilise the body's natural healing responses to regenerate tissue and organs. There remain many unanswered questions in tissue engineering, w...
Potential applications of deep learning in single-cell RNA sequencing analysis for cell therapy and regenerative medicine.
Stem cells (Dayton, Ohio)
Feb 15, 2021
When used in cell therapy and regenerative medicine strategies, stem cells have potential to treat many previously incurable diseases. However, current application methods using stem cells are underdeveloped, as these cells are used directly regardle...
Deep learning enables the automation of grading histological tissue engineered cartilage images for quality control standardization.
Osteoarthritis and cartilage
Jan 8, 2021
OBJECTIVE: To automate the grading of histological images of engineered cartilage tissues using deep learning.
Identification of an epigenetic signature in human induced pluripotent stem cells using a linear machine learning model.
Human cell
Oct 12, 2020
The use of human induced pluripotent stem cells (iPSCs), used as an alternative to human embryonic stem cells (ESCs), is a potential solution to challenges, such as immune rejection, and does not involve the ethical issues concerning the use of ESCs ...
Machine learning uncovers cell identity regulator by histone code.
Nature communications
Jun 1, 2020
Conversion between cell types, e.g., by induced expression of master transcription factors, holds great promise for cellular therapy. Our ability to manipulate cell identity is constrained by incomplete information on cell identity genes (CIGs) and t...
Databases, Genetic
Human Umbilical Vein Endothelial Cells
Regenerative Medicine
Gene Expression Regulation
Cells
Humans
Pluripotent Stem Cells
Gene Regulatory Networks
Machine Learning
Epigenesis, Genetic
Phenotype
Algorithms
Transcription Factors
Histone Code
RNA-Seq
Chromatin Immunoprecipitation Sequencing
Improving patient outcomes with regenerative medicine: How the Regenerative Medicine Manufacturing Society plans to move the needle forward in cell manufacturing, standards, 3D bioprinting, artificial intelligence-enabled automation, education, and training.
Stem cells translational medicine
Mar 28, 2020
The Regenerative Medicine Manufacturing Society (RMMS) is the first and only professional society dedicated toward advancing manufacturing solutions for the field of regenerative medicine. RMMS's vision is to provide greater patient access to regener...
Improving the Rate of Translation of Tissue Engineering Products.
Advanced healthcare materials
Aug 6, 2019
Over 100 000 research articles and 9000 patents have been published on tissue engineering (TE) in the past 20 years. Yet, very few TE products have made their way to the market during the same period. Experts have proposed a variety of strategies to ...
Stay Ahead of Medical AI
Join thousands of healthcare professionals staying informed about the latest AI breakthroughs in medicine. Get curated insights delivered to your inbox.
Subscribe NowPopular Topics
- Machine Learning 30978
- Neural Networks, Computer 29696
- Algorithms 26813
- Deep Learning 26324
- Artificial Intelligence 24267
- Robotics 13307
- Image Processing, Computer-Assisted 9512
- Retrospective Studies 9097
- Magnetic Resonance Imaging 6173
- Reproducibility of Results 5589
- Tomography, X-Ray Computed 4765
- Support Vector Machine 4678
- Computational Biology 4229
- Brain 4045
- Computer Simulation 3877
Recent Journals
- Scientific reports 5865
- Sensors (Basel, Switzerland) 4794
- PloS one 4011
- Neural networks : the official journal of the International Neural Network Society 2928
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1839
- Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference 1686
- Studies in health technology and informatics 1278
- IEEE journal of biomedical and health informatics 1129
- Journal of chemical information and modeling 994
- Nature communications 938
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 861
- Briefings in bioinformatics 850
- IEEE transactions on neural networks and learning systems 823