Week 35, 2026 · Aug 24 – Aug 30

Top 40

ML / AI methods

Deep learning automates microscopy and histology image analysis with less labelled data

ML / AI methods

Learned latents steer protein conformations and encode evolutionary structure

Systems biology

Biophysical models link ion channel, noise and modulation to network firing dynamics

Systems biology

Design-aware statistical models for differential analysis of omics and imaging data

ML / AI methods

Biological priors make multi-omics deep learning interpretable

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

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

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

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

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

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

12 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

13 Graph and transformer models infer regulatory networks and disease-linked RNAsML / AI methods

14 Generative models map mass spectra directly to candidate molecular structuresML / AI methods

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

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

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

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

19 Interpretability Tools Recover Known Visual Selectivity in Neural ModelsML / AI methods

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

Show 19 more

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

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

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

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

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

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

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

28 Bifurcation structure and heterogeneity determine persistence beyond threshold indicesSystems biology

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

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

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

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

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

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

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

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

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

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

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