Search Results - abhishek+singharoy

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HLA-Inception: MHC-Peptide Binding Prediction
Major histocompatibility complex class I (MHC-I) molecules are principal components of immune recognition. Peptide binding to MHC-I molecules is necessary for antigen presentation and T cell recognition. Understanding and predicting MHC-I binding has great utility in T cell therapies, vaccine development and treatment of complex human diseases. Unfortunately,...
Published: 10/10/2024   |   Inventor(s): Eric Wilson, Abhishek Singharoy, Karen Anderson, John Cava
Keywords(s):  
Category(s): Applied Technologies, Computing & Information Technology, Cancer, Life Science (All LS Techs), Proteomic Assays/Reagents/Tools
Prediction Algorithm for MHC-bound Peptides & SARS-CoV-2 Peptides for Vaccines
T cell immunity is a fundamental component of the immune response to infections, cancer, and autoimmunity and is strongly impacted by polymorphisms in major histocompatibility complex (MHC) protein sequences. In particular, allelic MHC-I protein variants have been shown to influence patient outcomes to various viral infections, including SARS-CoV. While...
Published: 3/10/2023   |   Inventor(s): Karen Anderson, Abhishek Singharoy, Eric Wilson
Keywords(s):  
Category(s): Computing & Information Technology, Coronavirus, COVID-19, Life Science (All LS Techs), Pharmaceuticals, Vaccines/Antimicrobials, SARS-CoV-2, Proteomic Assays/Reagents/Tools, Intelligence & Security
Correntropy Loss Function that Promotes Robust Training in Artificial Neural Networks
Algorithm Resists Outliers to Provide Accurate Data Classification for Random Sets of DataThe Correntropy Loss, or C-loss, function stabilizes signals in artificial neural networks to optimally classify random data points and resist the presence of outliers in a given sample. Artificial neural networks are statistical models that process information...
Published: 6/27/2021   |   Inventor(s): Jose Principe, Abhishek Singh
Keywords(s): classification, Data Mining, Neural networks, Robust Training
Category(s): Technology Classifications > Engineering > Computer Science
Algorithm for Robust Training of Adaptive Systems Using Correntropy
Software to Improve Adaptive Systems in Noise-Cancelling MicrophonesThis algorithm trains adaptive systems to efficiently identify and filter undesired audio (noise) during audio capture. More than 300 million cell phones are in use in the United States right now. That accounts for only 20 percent of the world’s cell phone usage. Noise impeding...
Published: 3/5/2024   |   Inventor(s): Jose Principe, Abhishek Singh, Weifeng Liu
Keywords(s): Adaptive Filters, Noise Cancellation, Non Gaussian Noise, Online Adaptation, Robust Training
Category(s): Technology Classifications > Engineering > Computer Science