Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Despite improved outcomes with atezolizumab plus bevacizumab (A+B) in hepatocellular carcinoma (HCC)...
Immune cell classification from single-cell RNA sequencing (scRNA-seq) presents significant challeng...
Understanding how antibody heavy and light chains pair is critical for decoding immune repertoire ar...
The immune system is an intricately evolved series of cellular and protein-protein interactions, whi...
Fibromyalgia (FM) involves widespread musculoskeletal pain and hypersensitivity, often accompanied b...
The development of personalized cancer vaccines relies heavily on accurately identifying neoepitopes...
Chimeric antigen receptor (CAR) T cell therapy holds transformative potential for hematologic malign...
Single-cell proteomics by mass spectrometry is advancing rapidly, yet throughput and sensitivity rem...
Identifying effective neoantigen sequences is essential for enhancing anti-tumor immunity. However, ...
Broadly neutralizing antibodies (bNAbs) that target the envelope glycoprotein (Env) of human immunod...
Therapeutic antibody development faces persistent immunogenicity challenges from anti-drug antibodie...
Human haematopoietic stem and progenitor cells (HSPCs) exhibit heterogeneous lineage output, but the...
Deep learning shows promise in structure-based drug discovery, yet challenges persist in generating ...
While gene sequencing is routine in cancer care, translating sequences into treatment decisions rema...
Linking spatial transcriptomic data to clinically relevant phenotypes is essential for advancing spa...
B-cells get activated through interaction with B-cell epitopes, a specific portion of the antigen. I...
Malassezia pachydermatis is a zoophilic yeast found on the skin and in the outer ear canal of many m...
Myocardial infarction (MI) is a life-threatening cardiovascular disease characterized by high morbid...
T-cell immunogenicity, the ability of peptide fragments to elicit T-cell responses, is a critical de...
Machine learning models trained on paratope-similarity networks have shown superior accuracy compare...
The accurate prediction of antibody-antigen (AbAg) complexes is a key challenge for computational im...