Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Tumor Mutational Burden (TMB) is a widely used biomarker for selecting cancer patients for immune ch...
While neutralizing ability has traditionally been considered the most important antibody function, a...
Accurate in silico identification of B-cell epitope residues is crucial for antibody design and stru...
The advent of spatial omics has revolutionized our understanding of tissue biology; however, these t...
Immune checkpoint blockade has emerged as a promising form of cancer therapy. However, only some pat...
Antibodies are central to immune defense and therapeutic design, yet predicting which sequences conf...
Biomarker discovery for immunotherapy often requires reasoning across complex immune contexts. We pr...
The primate visual system is organized into dorsal and ventral pathways, classically linked to visuo...
Class I major histocompatibility complexes (MHCs), expressed on the surface of all nucleated cells, ...
Applications of artificial intelligence (AI) to histopathology are now common, but most require supe...
Synthetic enhancers with high specificity are crucial for therapeutic gene control. Although existin...
Predicting peptide binding affinities to major histocompatibility complex class I (MHCI) is a crucia...
This work introduces a modular, open-source computational pipeline for glioblastoma (GBM) vaccine de...
The progression of lung adenocarcinoma (LUAD) from precancerous lesions to invasive carcinoma entail...
Immunological aging (immunosenescence) drives increased susceptibility to infections and reduced vac...
The ability to predict phenotypes from genotypes in multicellular organisms remains limited despite ...
Antibodies serve as vital diagnostic and therapeutic agents due to their exceptional specificity tow...
In this study, we present a comprehensive radiogenomic analysis of pediatric low-grade gliomas (pLGG...
Individuals homozygous for the Alpha-1 Antitrypsin (AAT) Z allele (Pi*ZZ) exhibit heterogeneity in C...
Artificial intelligence (AI) has been increasingly integrated into imaging genetics to provide inter...
The post-acute sequelae of SARS-CoV-2 (PASC), also known as long COVID, remain a significant health ...