AIMC Topic: Antigens, Neoplasm
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DeepHLApan: A Deep Learning Approach for the Prediction of Peptide-HLA Binding and Immunogenicity.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2024
Neoantigens are crucial in distinguishing cancer cells from normal ones and play a significant role in cancer immunotherapy. The field of bioinformatics prediction for tumor neoantigens has rapidly developed, focusing on the prediction of peptide-HLA...
Treatment Potential for Macular Cone Vision in Leber Congenital Amaurosis Due to CEP290 or NPHP5 Mutations: Predictions From Artificial Intelligence.
Investigative ophthalmology & visual science
Jun 3, 2019
PURPOSE: To use supervised machine learning to predict visual function from retinal structure in retinitis pigmentosa (RP) and apply these estimates to CEP290- and NPHP5-associated Leber congenital amaurosis (LCA) to determine the potential for funct...
Humans
Machine Learning
Female
Young Adult
Adult
Male
Middle Aged
Adolescent
Antigens, Neoplasm
Neoplasm Proteins
Tomography, Optical Coherence
Mutation
Visual Fields
Visual Field Tests
Cytoskeletal Proteins
Genetic Therapy
Cell Cycle Proteins
Color Vision Defects
Retinal Cone Photoreceptor Cells
Calmodulin-Binding Proteins
Leber Congenital Amaurosis
Retinitis Pigmentosa
Highly sensitive detection of human cancer antigens by an immunogold-silver assay chip coupled with a polythiophene-based optical sensor.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Aug 1, 2016
This work presents a novel method for protein or cancer antigen detection in clinical samples by an immunogold-silver assay microfluidic biochip coupled with a polythiophene-based organic photodetector. The method has showed a detection limit below 1...
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