Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
ML / AI methods
Pretrained and graph-based encoders fused for biomedical prediction across omics and…
Single-cell foundation model embeddings and multi-omics graph fusion are now applied to survival, drug response, and diagnostic prediction.
5 preprints · 4 published · ↑ 3.0× vs 4-wk avg
Rank 2 Tools & infrastructure
Computational tools refine microbiome taxonomy, strain tracking, and diversity measures
Taxonomic and strain-level microbiome tools are now coupling sequence inference with genome-level structure and interactive interpretation.
5 preprints · 1 published · ↑ 3.0× vs 4-wk avg
Rank 3 Systems biology
Conditions under which inferred model structure and parameters remain recoverable
Benchmarks and diagnostics now test when structure and parameter recovery holds, from ODE libraries to SMLM sequences and agent-based models.
3 preprints · 2 published · ↑ 2.7× vs 4-wk avg
Rank 4 Single-cell
Computational reconstruction of cell fate and lineage from imaging and single-cell data
Learned representations are now judged against simple baselines as lineage and fate reconstruction tools expand across imaging and single-cell data.
6 preprints · 2 published · ↑ 2.6× vs 4-wk avg
Rank 5 Single-cell
Models infer regulatory and cell-state structure from noisy single-cell measurements
Recent single-cell methods make cell-type identity, proportions, and uncertainty explicit within the inference step itself.
5 preprints · 7 published · ↑ 2.5× vs 4-wk avg
Rank 6 Aging-linked methylation and chromatin changes mapped at cell-type resolution↑ 2.4×EpigenomicsRank 7 Long-read and sparse single-cell methods expand genome and transcriptome profiling↑ 2.3×GenomicsRank 8 Image-derived force and motion measurements paired with cell-scale dynamic modeling↑ 2.3×Systems biologyRank 9 Graph and deep-learning models predict drug responses and transcriptomic perturbations↑ 2.1×ML / AI methodsRank 10 Vision transformers and foundation models advance segmentation across microscopy and MRI↑ 2.1×ML / AI methodsRank 11 Learned models target peptide conformations, MHC binding, and ligand affinity↑ 2.1×Structural bio & protein designRank 12 Agents and modular toolchains orchestrate multi-step protein and ligand design↑ 2.0×Structural bio & protein designRank 13 Pretrained sequence models tested for cross-species transfer and variant-effect blind…↑ 2.0×ML / AI methodsRank 14 Generative and coarse-grained models are sampling biomolecular conformational ensembles↑ 1.9×Structural bio & protein designRank 15 Evaluated tools for scRNA-seq expression testing and AlphaFold structure search↑ 2.1×Structural bio & protein designRank 16 MD ensembles resolve rate-limiting and pathway-selective conformational transitions↑ 2.0×Structural bio & protein designRank 17 Computational pipelines for calcium transients and membrane-proximal aggregation↑ 2.0×Single-cellRank 18 Population-structured models link mobility and surveillance design to infection detection↑ 1.9×Systems biologyRank 19 Ancestry-aware and biobank-scale methods refine variant analysis in population cohorts↑ 1.9×GenomicsRank 20 Deep models transfer information across contexts to predict unmeasured cell responses↑ 1.8×Single-cell
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Rank 21 Generative models now design functional DNA, aptamers, and protein backbones↑ 1.6×ML / AI methodsRank 22 Simulations resolve condensate, lamina, and DNA ensemble organization at molecular scale↑ 1.8×Structural bio & protein designRank 23 Graph and Mamba architectures predict molecular activity, synergy, and drug interactions↑ 1.7×ML / AI methodsRank 24 Deep learning models predict bacterial and enzyme traits from sequence and structure↑ 1.6×ML / AI methodsRank 25 Computational callers infer copy number, SNVs and artefacts from sequencing data↑ 1.8×Single-cellRank 26 Protein language models and ML link genome variants to disease and resistance↑ 1.6×GenomicsRank 27 AI and structure-guided methods are being applied to bacterial pathogen targets↑ 1.6×ML / AI methodsRank 28 Histology and multimodal alignment infer 3D and spatial molecular organization in tissueTranscriptomicsRank 29 Structure-based prediction and AI design of molecular binders, epitopes, and cytokine…↑ 1.6×Structural bio & protein designRank 30 Explicit outlier and graph handling for defining groups in noisy omics data↑ 1.6×Single-cellRank 31 Additive underlying traits can yield non-specific epistasis and functional bottlenecks↑ 1.6×Systems biologyRank 32 Deep learning models constrained by experimental data resolve conformational ensembles↑ 1.6×Structural bio & protein designRank 33 Validating and annotating chromosome-scale genomes with new computational tools↑ 1.5×Tools & infrastructureRank 34 Transcriptomics resolves context-dependent regulation and disease gene prioritisationGenomicsRank 35 Shared latent models infer neural dynamics from RNNs, Neuropixels, and whole-brain data↑ 1.6×Systems biologyRank 36 LLM agents extract protocols and drive omics analysis through tool-execution frameworksTools & infrastructureRank 37 Single-process models dissect phage fitness, resistance eradication and transmission↑ 1.5×Systems biologyRank 38 Model-Based Inference of Tumor Evolution, Drug Resistance, and Immune ShiftsSystems biologyRank 39 Probabilistic models extend variant prioritisation and phasing to new variant classesGenomicsRank 40 Hardware-aware engineering accelerates genomic and phylogenetic likelihood computationTools & infrastructure