Top 40
View all ›BACKFILLED Code and industry signals are partial for backfilled days.
Rank 1
Single-cell
Graph learning predicts biomolecular interactions and drug responses from omics data
Graph-structured models are being applied to interaction, drug-response, and single-cell regulatory prediction with added interpretability.
8 preprints · 6 published · ↑ 2.0× vs 4-wk avg
Rank 2 ML / AI methods
Deep learning segments and annotates cells across MRI, microscopy and pathology images
Standardized challenge benchmarks and released tooling now expose where biomedical imaging models generalize across cohorts and modalities.
5 preprints · 1 published · ↑ 2.0× vs 4-wk avg
Rank 3 Systems biology
Coupled mechanical models link cell confinement, cytokinetic flow and tissue forces
Three preprints pair cell-scale mechanical models with a second physical process and an explicit route to data.
3 preprints · 1 published · ↑ 1.9× vs 4-wk avg
Rank 4 ML / AI methods
ML models treat immunogenicity as an explicit design and prediction objective
Recent preprints and publications pair affinity optimization with explicit immunogenicity readouts across antibodies, peptides, and neoepitopes.
4 preprints · 2 published · ↑ 1.7× vs 4-wk avg
Rank 5 Tools & infrastructure
Software toolkits for impedance sensing, single-cell DNA, and integration-site analysis
Four December 2025 preprints release open-source software for impedance, single-cell DNA, integration-site, and plate-design data analysis.
4 preprints · ↑ 1.8× vs 4-wk avg
Rank 6 Genome and metagenome mining links sequence content to microbial trait classes↑ 1.7×GenomicsRank 7 Software reconciles platform-specific omics outputs with downstream analysis↑ 1.8×Tools & infrastructureRank 8 Benchmarking Sampling and Scoring Strategies for Protein-Ligand Binding Prediction↑ 1.6×Structural bio & protein designRank 9 Adapting pretrained protein and molecular models to stability and design tasks↑ 1.6×Structural bio & protein designRank 10 Diagnostic scrutiny of molecular binding and stability models for shortcuts and shift↑ 1.6×ML / AI methodsRank 11 Benchmarked accuracy of variant detection and alignment against defined reference…↑ 1.6×GenomicsRank 12 Computational antigen assignment for T cells and tumor peptide presentation↑ 1.6×ProteomicsRank 13 Individual fMRI-based brain models and multivariate network comparison across subjects↑ 1.6×Systems biologyRank 14 Scalable and federated methods extend GWAS modelling, heritability and ancestry inference↑ 1.6×GenomicsRank 15 Physics- and substructure-aware graph models predict protein and molecular propertiesML / AI methodsRank 16 Defense and anti-defense turnover co-evolve across bacterial genomic compartments↑ 1.6×GenomicsRank 17 Generative and multi-omic tools now map and design neuronal and regulatory statesML / AI methodsRank 18 Simulations link nucleosome and condensate binding to residue-level molecular featuresEpigenomicsRank 19 NMR restraints and force-field checks refine conformational ensembles of RNA and proteinsStructural bio & protein designRank 20 Models decode spatial tissue organization from imaging and spatial transcriptomic dataML / AI methods
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Rank 21 Learned Models Mine and Engineer Microbial Biosynthetic Pathways and BiosensorsML / AI methodsRank 22 Protein, mRNA and DNA language models target fitness, design and genomic predictionML / AI methodsRank 23 Pangenomes expose structural variants behind Tibetan adaptation and peanut oil chemistryGenomicsRank 24 Optimal control and phage dynamics shape bacterial eradication strategiesSystems biologyRank 25 Distinguishing intrinsic criticality from latent drive in spiking and EEG modelsSystems biologyRank 26 Neuroscience analysis methods are being packaged as web-accessible, interactive toolsTools & infrastructureRank 27 Learned representations tie spatial omics integration to explicit tissue structureSingle-cellRank 28 Machine learning steers binder and epitope design against viral and pathogen targetsStructural bio & protein designRank 29 Learned models extend variant prediction to noncoding, organellar, and RNA contextsGenomicsRank 30 MD Simulations Map Modulators and Aggregation-Prone Regions in Amyloidogenic ProteinsStructural bio & protein designRank 31 Mechanistic state structure and physical bounds constrain models of cellular dynamicsSystems biologyRank 32 Transposon enhancers and acrocentric chromosome evolution across mammalian genomesGenomicsRank 33 Algorithmic redesigns of alignment and search target throughput and memory limitsGenomicsRank 34 Simulations probe how ligands and carbon dots bind RNA and DNAStructural bio & protein designRank 35 Structure-derived descriptors assess AlphaFold model quality and domain environmentsStructural bio & protein designRank 36 Network and generative models of AML treatment response and drug designSystems biologyRank 37 Quantitative models of cell cooling, ciliary flow, and sperm subpopulation compositionSystems biologyRank 38 Model assumptions govern what single-cell snapshot data can supportSingle-cellRank 39 Noise and distributed delay prolong metastability in bistable gene circuitsSystems biologyRank 40 Construction choices reshape single-cell benchmark and embedding performanceSingle-cell