July 2026

Top 40

ML / AI methods

Interpretability Tools Recover Known Visual Selectivity in Neural Models

Systems biology

Regional brain organization metrics test normative models, criticality, and morphometry

ML / AI methods

Spatial models couple influenza dispersal, defective particles and interferon signalling

Tools & infrastructure

Benchmarks and packaged pipelines standardize omics analysis tools

ML / AI methods

Shared embeddings fuse tissue images, spatial transcriptomes and molecular profiles

6 Learned latents steer protein conformations and encode evolutionary structureML / AI methods

7 Reduced recurrent models reproduce complex dynamics across neural and molecular systemsSystems biology

8 Noise-driven dynamics shape neuronal firing, calcium states, and gait fluctuationsSystems biology

9 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

10 Computational models link germinal center B cell states to antibody affinity maturationGenomics

11 Fitted mechanistic models link single-cell and patient omics to regulatory dynamicsML / AI methods

12 MD ensembles and replica-exchange sampling map folding and binding pathwaysStructural bio & protein design

13 Benchmarks and tools expose technical biases in sequencing-based genomic assaysEpigenomics

14 Learned multimodal and graph representations for protein and RNA predictionML / AI methods

15 Biological foundation models face scrutiny over pretraining, benchmarks, and baselinesML / AI methods

16 Reproducible tools for assessing and streamlining omics data analysis workflowsTools & infrastructure

17 Chromosome-level assemblies link genome gigantism and gene loss to lineage evolutionGenomics

18 New tools speed variant annotation, GWAS, and epigenomic and cytometry analysisTools & infrastructure

19 Network models nominate interventions from omics and screening dataSystems biology

20 Integrating diverse variant and annotation data to improve genetic risk predictionGenomics

Show 20 more

21 Sequence- and structure-based models predict protein function and dynamicsML / AI methods

22 Simulations Link RNA Modifications to Conformation and Electronic StructureStructural bio & protein design

23 Graph neural networks model molecular interactions, drug synergy and disease driversSystems biology

24 Reproducible environments, DNA library design and standard formats for biology toolsStructural bio & protein design

25 Benchmarks probe AlphaFold model accuracy across peptides, RNA, and antibody complexesStructural bio & protein design

26 Correcting RNA degradation and hashtag demultiplexing in single-cell transcriptomicsSystems biology

27 Computational models link genetic variants to RNA binding and cell-type expressionTools & infrastructure

28 Internal ground truths benchmark RNA-seq transcript and expression inference toolsGenomics

29 Design-aware statistical models for differential analysis of omics and imaging dataSystems biology

30 Context-aware models refine variant calling, eQTL mapping and polygenic predictionGenomics

31 Graph storage and streaming parsers reshape population-scale variant computationTools & infrastructure

32 Encoding spatial and relational structure in high-dimensional omics analysisSingle-cell

33 MD simulations link conformational states to membrane binding and organizationStructural bio & protein design

34 Learned models link histology and spatial transcriptomics to predict expression and nichesTools & infrastructure

35 Biophysical models link ion channel, noise and modulation to network firing dynamicsSystems biology

36 Generative models steered by RL, fragments, and SMARTS for molecule and linker designStructural bio & protein design

37 Sequencing and inference methods resolve nucleic acid sequence, structure, and usageGenomics

38 Graph and language-model encoders advance drug-target and synergy predictionStructural bio & protein design

39 Multi-omic and structural data are converted into drug and target prioritization outputsGenomics

40 Spatial and single-cell models infer multicellular motifs, regulators and disease linksSingle-cell