Week 19, 2026 · May 4 – May 10

Top 40

ML / AI methods

Recovering single-cell kinetics and trajectories from static and noisy measurements

ML / AI methods

Benchmarks for AI virtual cell models are being tested for scientific validity

Systems biology

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

ML / AI methods

Cross-cohort tests expose limits of EEG, vocal, and transcriptomic biomarkers

Tools & infrastructure

New tools speed variant annotation, GWAS, and epigenomic and cytometry analysis

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

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

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

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

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

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

12 Physical and quantum-derived references inform learned models of molecular propertiesML / AI methods

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

14 Simulation methods extend to cyclic peptides, non-canonical residues and polypeptoidsStructural bio & protein design

15 Biological priors make multi-omics deep learning interpretableML / AI methods

16 Spatial models couple influenza dispersal, defective particles and interferon signallingML / AI methods

17 Benchmarks and learned models expose gaps in metagenomic analysis softwareML / AI methods

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

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

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

Show 20 more

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

22 Benchmarks and packaged pipelines standardize omics analysis toolsTools & infrastructure

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

24 MD and cofolding models probe conformational states in kinases, Aβ, and HIV-1 EnvStructural bio & protein design

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

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

27 Comparative genomics partitions duplication, transfer and synteny across lineagesGenomics

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

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

30 Mechanistic models link cell-scale rules to invasion, containment and therapy outcomesSystems biology

31 Chromatin structure and nucleosome states inferred from sequencing and contact mapsStructural bio & protein design

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

33 Noise, feedback and network structure shape emergent states in biological modelsSystems biology

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

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

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

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

38 Transformer and deep learning tools benchmarked against established genomics methodsGenomics

39 Refined inference of tumor methylation, structural variants and clonal structureSingle-cell

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