Week 34, 2026 · Aug 17 – Aug 23

Top 40

Systems biology

Bifurcation structure and heterogeneity determine persistence beyond threshold indices

ML / AI methods

Sequence- and structure-based models predict protein function and dynamics

ML / AI methods

Generative models map mass spectra directly to candidate molecular structures

ML / AI methods

Shared embeddings fuse tissue images, spatial transcriptomes and molecular profiles

ML / AI methods

Benchmark baselines and transfer conditions reshape reported gains in biological ML

6 Recovering single-cell kinetics and trajectories from static and noisy measurementsML / AI methods

7 Structure-aware language models detect resistance genes and map variant activityML / AI methods

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

9 Deep learning automates microscopy and histology image analysis with less labelled dataML / AI methods

10 Benchmarks for AI virtual cell models are being tested for scientific validityML / AI methods

11 Regional brain organization metrics test normative models, criticality, and morphometrySystems biology

12 Isoform-resolved single-cell and single-molecule methods quantify transcript variantsEpigenomics

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

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

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

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

17 Adhesion, noise, and discretization shape collective and single-cell migration modelsSystems biology

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

19 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

20 LLM agents and multimodal models convert literature and spectra into molecular knowledgeTools & infrastructure

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

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

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

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

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

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

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

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

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

30 Network models nominate interventions from omics and screening dataSystems biology

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

32 Pretrained generative models extend to fMRI forecasting, diagnosis, and imagerySystems biology

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

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

35 Ensemble and free-energy methods now resolve RNA, protein and ligand binding physicsStructural bio & protein design

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

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

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

39 Models infer microbial and viral traits from large genomic and metagenomic datasetsGenomics