Latest AI and machine learning research in allergy & immunology for healthcare professionals.
Predicting immunotherapy response from single-cell data remains difficult due to patient-level label...
In large data sets discovery is often limited to pre-conceived hypotheses and data fishing. Here we ...
Klebsiella pneumoniae (Kp) is a WHO high-priority pathogen for vaccine development, yet previous eff...
mRNA-based therapeutics have emerged as a transformative class of medicines, yet their translation b...
Adverse drug reactions (ADRs) are a major, largely preventable source of patient harm. In high-incom...
Messenger RNA (mRNA)-based therapeutics have emerged as a powerful platform for vaccines, protein re...
Delta-Rule recurrent models maintain a fixed-size state, enabling $O(1)$ inference memory but potent...
We introduce RS$^3$-Prune, a training-free token-pruning recipe that instantiates as a small set of ...
The VHH-Fc antibody scaffold is an emerging therapeutic modality. No public large-scale, standardize...
Predictive models over structured electronic health records (EHRs) remain central to machine learnin...
BackgroundRecurrence rates following curative resection for hepatocellular carcinoma (HCC) remain pe...
Computational design has transformed many fields of engineering, where simulators can explore millio...
Cytometry measures the complex characteristics of single cells (e.g., counts and protein expression ...
Multibodies, or "two-in-one" Immunoglobulin G (IgG) antibodies, are standard symmetrical IgG molecul...
Kidney transplant recipients experience a higher burden of several malignancies, yet the factors ass...
Foundation models trained on electronic healthcare records (EHRs) have gained traction with the aim ...
Preformed and de novo antibodies against donor human leukocyte antigen (HLA) antigens remain a major...
Adaptive immunity relies on T-cell receptor (TCR) recognition of peptides presented by the major his...
The human immune system is composed of [~]30-50 distinct cell types, each of which can exist in diff...
Gold-standard phenotype labels are often unavailable at scale in electronic health record (EHR) stud...
Single-cell transcriptomics resolves CAR T-cell states, yet translating heterogeneous cellular signa...