RNA-based therapies are a rapidly expanding field, offering treatments for a wide range of diseases, including many rare conditions. To date, 24 RNA therapeutics have received FDA approval, with 131 more in clinical trials, underscoring RNA’s growing...
Repeated pregnancy loss (RPL) is a multifactorial condition in which the underlying immunological mechanisms remain incompletely understood. Although immune tolerance at the maternal–fetal interface is critical for successful pregnancy, the immune di...
The rapid proliferation of digital pathology foundation models (FMs), spanning widely in architectural scales and pre-training datasets, poses a significant challenge in selecting the optimal model for a specific clinical application. To systematical...
Avian influenza remains a serious risk to human health via zoonotic transmission, as well as a feasible pandemic threat. Although limited zoonotic cases have resulted from the current epizootic outbreak, the wide diversity of influenza viruses in avi...
Autophagy is an essential mechanism for maintaining cell homeostasis and, when dysregulated, is related to various pathologies. In cancer, it functions as a double-edged sword, either as a tumor suppressor or as a tumor promoter. Elevated GFP-LC3 pun...
The rapid evolution of SARS-CoV-2 presents significant challenges for modeling viral dynamics, driven by lineage diversification and region-specific mutation patterns. While phylogenetic trees are traditionally used for evolutionary inference, the ma...
Modeling the conformational heterogeneity of protein-small molecule interactions is important for understanding natural systems and evaluating designed systems, but remains an outstanding challenge. We reasoned that while residue level descriptions o...
Messenger RNA (mRNA) therapeutics show immense promise, but their efficacy is limited by suboptimal protein expression. Here, we present RiboDecode, a deep learning framework that generates mRNA codon sequences for enhanced mRNA translation. RiboDeco...
The ability to predict T cell receptor (TCR) specificity from sequence could transform immunotherapy, vaccine development, and our understanding of immune recognition. While machine learning approaches have shown promise, progress is limited by the q...
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