AIMC Topic: Mutation
Clear Filters Showing 551 to 560 of 652 articles
Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation prediction.
Neuro-oncology
Jun 3, 2024
BACKGROUND: This study evaluated whether generative artificial intelligence (AI)-based augmentation (GAA) can provide diverse and realistic imaging phenotypes and improve deep learning-based classification of isocitrate dehydrogenase (IDH) type in gl...
Unravelling the metabolic landscape of cutaneous melanoma: Insights from single-cell sequencing analysis and machine learning for prognostic assessment of lactate metabolism.
Experimental dermatology
Jun 1, 2024
This manuscript presents a comprehensive investigation into the role of lactate metabolism-related genes as potential prognostic markers in skin cutaneous melanoma (SKCM). Bulk-transcriptome data from The Cancer Genome Atlas (TCGA) and GSE19234, GSE2...
AttABseq: an attention-based deep learning prediction method for antigen-antibody binding affinity changes based on protein sequences.
Briefings in bioinformatics
May 23, 2024
The optimization of therapeutic antibodies through traditional techniques, such as candidate screening via hybridoma or phage display, is resource-intensive and time-consuming. In recent years, computational and artificial intelligence-based methods ...
Mutation prediction in the SARS-CoV-2 genome using attention-based neural machine translation.
Mathematical biosciences and engineering : MBE
May 20, 2024
Severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) has been evolving rapidly after causing havoc worldwide in 2020. Since then, it has been very hard to contain the virus owing to its frequently mutating nature. Changes in its genome lead t...
Predicting gastric cancer tumor mutational burden from histopathological images using multimodal deep learning.
Briefings in functional genomics
May 15, 2024
Tumor mutational burden (TMB) is a significant predictive biomarker for selecting patients that may benefit from immune checkpoint inhibitor therapy. Whole exome sequencing is a common method for measuring TMB; however, its clinical application is li...
D3EGFR: a webserver for deep learning-guided drug sensitivity prediction and drug response information retrieval for EGFR mutation-driven lung cancer.
Briefings in bioinformatics
Mar 27, 2024
As key oncogenic drivers in non-small-cell lung cancer (NSCLC), various mutations in the epidermal growth factor receptor (EGFR) with variable drug sensitivities have been a major obstacle for precision medicine. To achieve clinical-level drug recomm...
Insight into deep learning for glioma IDH medical image analysis: A systematic review.
Medicine
Feb 16, 2024
BACKGROUND: Deep learning techniques explain the enormous potential of medical image analysis, particularly in digital pathology. Concurrently, molecular markers have gained increasing significance over the past decade in the context of glioma patien...
Discovering genotype-phenotype relationships with machine learning and the Visual Physiology Opsin Database (VPOD).
GigaScience
Jan 2, 2024
BACKGROUND: Predicting phenotypes from genetic variation is foundational for fields as diverse as bioengineering and global change biology, highlighting the importance of efficient methods to predict gene functions. Linking genetic changes to phenoty...
Machine Learning-Based Pathomics Model to Predict the Prognosis in Clear Cell Renal Cell Carcinoma.
Technology in cancer research & treatment
Jan 1, 2024
Clear cell renal cell carcinoma (ccRCC) is a highly lethal urinary malignancy with poor overall survival (OS) rates. Integrating computer vision and machine learning in pathomics analysis offers potential for enhancing classification, prognosis, and ...
Don't Miss the Future of Medicine
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 31342
- Neural Networks, Computer 29853
- Algorithms 27004
- Deep Learning 26532
- Artificial Intelligence 24451
- Robotics 13335
- Image Processing, Computer-Assisted 9594
- Retrospective Studies 9172
- Magnetic Resonance Imaging 6218
- Reproducibility of Results 5616
- Tomography, X-Ray Computed 4799
- Support Vector Machine 4714
- Computational Biology 4279
- Brain 4062
- Computer Simulation 3896
Recent Journals
- Scientific reports 6301
- Sensors (Basel, Switzerland) 4794
- PloS one 4095
- Neural networks : the official journal of the International Neural Network Society 2930
- Computational intelligence and neuroscience 1931
- Computers in biology and medicine 1870
- 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 1144
- Journal of chemical information and modeling 1022
- Nature communications 981
- Computer methods and programs in biomedicine 883
- Bioinformatics (Oxford, England) 866
- Briefings in bioinformatics 853
- IEEE transactions on neural networks and learning systems 834