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21 curated papers across all published weeks — sorted by disruptiveness score.
This study aims to explore the applicability of Transformer-based models for genetic sequence classification by evaluating their performance in predicting hepa…
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2026-W36
We introduce a family of prime-base hybrid editors that correct multiple pathogenic SNVs in parallel with reduced double-strand break toxicity, demonstrated in…
2026-W30
We design modular protein logic circuits that perform multi-input cellular computations in mammalian cells, enabling sense-and-respond therapeutic programs wit…
Lung cancer screening with low-dose chest computed tomography reduces mortality, but its impact is limited by uptake, adherence, and management challenges. Blo…
Alzheimer's disease (AD) progresses as a continuous biological process, whereas most existing neuroimaging-based artificial intelligence methods remain limited…
2026-W35
Segmentation of curvilinear anatomical structures in 3D medical images remains challenging due to complex topology, severe class imbalance, weak contrast, and…
We train neural cellular automata to design biocompatible scaffold growth programs that regenerate complex tissue geometries in silico and guide 3D bioprinting…
Protein generative models have shown remarkable promise in protein design, yet their success rates remain constrained by reliance on curated sequence-structure…
2026-W34
Bioinformatics workflows rely heavily on visual representations. Quality-control plots, cell embeddings, heatmaps, genome-browser tracks, and interactive dashb…
Bioassay activity prediction is often data-limited because drug-discovery datasets rely on time-consuming and expensive wet-lab experiments for data generation…
Biological systems often synchronize their dynamics with periodic environmental and intracellular signals. Whether such periodic coordination can also improve…
2026-W31
Identifying therapeutic target genes from single-cell RNA sequencing (scRNA-seq) data remains a fundamental challenge in translational biology. Unlike bulk ass…
Network control theory applied to structural connectomes typically ranks brain regions as candidate driver nodes by their structural connectivity strength, and…
2026-W32
Proteins occupy heterogeneous free-energy landscapes in which high-entropy ensembles converge toward compact, low-energy basins with multiple sub-states. Molec…
We study a self-supervised generation task for single-cell gene expression vectors: given a set of vectors from a cell type, we aim to generate additional gene…
Epitopes determine where antibodies bind antigens and shape downstream therapeutic properties such as functional blockade and escape resistance, making epitope…
Respiration provides a continuously available window into physiological state and behavior. However, monitoring it outside controlled settings remains challeng…
In bioreactor experiments, budding yeast can manifest stable metabolic oscillations. In some instances these oscillations involve the cell cycle and are associ…
Survival analysis is an established framework for analyzing time-to-event data, yet many clinical machine learning studies still binarize the outcome before mo…
Deep learning models can predict cancer recurrence from H&E stained slides, but the localized molecular states underlying these predictions remain largely…
Chemical kinetics has long inferred local molecular behaviour through the flask-and-molarity pairing, where well-mixed concentrations serve as the experimental…
