AIMC Topic: Computational Biology
Clear Filters Showing 631 to 640 of 4399 articles
DeepEnhancerPPO: An Interpretable Deep Learning Approach for Enhancer Classification.
International journal of molecular sciences
Dec 2, 2024
Enhancers are short genomic segments located in non-coding regions of the genome that play a critical role in regulating the expression of target genes. Despite their importance in transcriptional regulation, effective methods for classifying enhance...
Accurate prediction of colorectal cancer diagnosis using machine learning based on immunohistochemistry pathological images.
Scientific reports
Dec 2, 2024
Colorectal cancer (CRC) ranks as the third most prevalent tumor and the second leading cause of mortality. Early and accurate diagnosis holds significant importance in enhancing patient treatment and prognosis. Machine learning technology and bioinfo...
Parallel development of object recognition in newborn chicks and deep neural networks.
PLoS computational biology
Dec 2, 2024
How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual development can be understood as a blind fitting process (akin to evolution) in which visual systems gradually adapt to the spatiotemporal data distri...
Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.
International immunopharmacology
Nov 30, 2024
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Annotation Practices in Computational Pathology: A European Society of Digital and Integrative Pathology (ESDIP) Survey Study.
Laboratory investigation; a journal of technical methods and pathology
Nov 29, 2024
Integrating digital pathology and artificial intelligence (AI) algorithms can potentially improve diagnostic practice and precision medicine. Developing reliable, generalizable, and comparable AI algorithms depends on access to meticulously annotated...
Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning.
Nature communications
Nov 29, 2024
Integrating diverse types of biological data is essential for a holistic understanding of cancer biology, yet it remains challenging due to data heterogeneity, complexity, and sparsity. Addressing this, our study introduces an unsupervised deep learn...
Robust parameter estimation and identifiability analysis with hybrid neural ordinary differential equations in computational biology.
NPJ systems biology and applications
Nov 29, 2024
Parameter estimation is one of the central challenges in computational biology. In this paper, we present an approach to estimate model parameters and assess their identifiability in cases where only partial knowledge of the system structure is avail...
Special Issue "Machine Learning and Bioinformatics in Human Health and Disease"-Chances and Challenges.
International journal of molecular sciences
Nov 28, 2024
Machine learning (ML) and bioinformatics are catalyzing a new era in biomedical research, enabling unprecedented insights into the complex systems that govern human health and disease [...].
Identification of immune-related mitochondrial metabolic disorder genes in septic shock using bioinformatics and machine learning.
Hereditas
Nov 28, 2024
PURPOSE: Mitochondria are involved in septic shock and inflammatory response syndrome, which severely affects the life security of patients. It is necessary to recognize and explore the immune-mitochondrial genes in septic shock.
Multi-omics characterization and machine learning of lung adenocarcinoma molecular subtypes to guide precise chemotherapy and immunotherapy.
Frontiers in immunology
Nov 28, 2024
BACKGROUND: Lung adenocarcinoma (LUAD) is a heterogeneous tumor characterized by diverse genetic and molecular alterations. Developing a multi-omics-based classification system for LUAD is urgently needed to advance biological understanding.
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 32555
- Neural Networks, Computer 30510
- Algorithms 27756
- Deep Learning 27309
- Artificial Intelligence 25231
- Robotics 13435
- Image Processing, Computer-Assisted 9895
- Retrospective Studies 9539
- Magnetic Resonance Imaging 6484
- Reproducibility of Results 5747
- Tomography, X-Ray Computed 4963
- Support Vector Machine 4815
- Computational Biology 4399
- Brain 4188
- Computer Simulation 3965
Recent Journals
- Scientific reports 7014
- Sensors (Basel, Switzerland) 4794
- PloS one 4338
- Neural networks : the official journal of the International Neural Network Society 3035
- Computers in biology and medicine 2040
- Computational intelligence and neuroscience 1931
- 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 1395
- IEEE journal of biomedical and health informatics 1201
- Journal of chemical information and modeling 1089
- Nature communications 1072
- Computer methods and programs in biomedicine 895
- Journal of medical Internet research 882
- Bioinformatics (Oxford, England) 882
- IEEE transactions on neural networks and learning systems 859