Latest AI and machine learning research in allergy for healthcare professionals.
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 ...
BackgroundRecurrence rates following curative resection for hepatocellular carcinoma (HCC) remain pe...
Computational design has transformed many fields of engineering, where simulators can explore millio...
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...
Optimizing dose and schedule remains a central challenge in oncology drug development, particularly ...
Background Pretreatment prediction of primary resistance to anti-PD-(L)1 therapy in advanced non-sma...
Background: Melanoma represents a highly immunogenic and therapeutically challenging malignancy. The...
Chemotherapy-induced peripheral neuropathy (CIPN) is a common and painful side effect of paclitaxel ...
Objectives Scalable computable phenotyping algorithms are critical for conducting high-throughput di...
Automated pollen identification from microscopy remains a bottleneck in aerobiology, palaeoecology a...
T cell receptor (TCR)-based immunotherapy holds immense potential for treating cancers and infectiou...
Inferring early cell fate from single-cell RNA-sequencing data is essential for identifying cellular...
Computational models are central to cognitive neuroscience, but their rigorous application to experi...
Bone marrow smear review remains important for acute myeloid leukemia (AML) assessment, but manual s...
Deep learning on physiological time series is interpreted through domain-specific features -- oscill...
Background: Store-and-forward teledermatology commonly relies on several patient-submitted photograp...