March 2026

Top 40

ML / AI methods

Reliable Biomedical Prediction Models (auto label)

Tools & infrastructure

New computational methods for single-cell, spatial, and bulk transcriptomic analysis

Epigenomics

Computational metrics quantify resistance, foreign-genotype cells and CpG methylation

Metabolomics

Inferring tissue and tumor states from spatial, single-cell, and metabolic data

Genomics

Scalable tools refine orthology and gene histories across diverse genome collections

6 MD-informed models map allosteric couplings in receptors and AAA+ ATPasesStructural bio & protein design

7 Structure-aware statistical methods for single-cell and spatial transcriptomics inferenceML / AI methods

8 Protein language models encode nativeness, taxonomy, and memorization beyond trainingML / AI methods

9 Transfer of learned structure across resolutions, domains, and biological priorsML / AI methods

10 Sequence models extend regulatory and splicing prediction to personal genomesML / AI methods

11 Cancer Genome Functional Landscapes (auto label)Genomics

12 Benchmarks and diagnostics for inferring cell-level structure from single-cell…Tools & infrastructure

13 Perturbation models and benchmarks reshaping therapeutic target nominationStructural bio & protein design

14 ML-Guided Proteomics Methods Resolve Site-Level Structural and PTM ChangesMetabolomics

15 Analytical choices shape accuracy in MS-based strain, variant and quantity inferenceProteomics

16 Locus-resolved tools scale variant interaction, colocalisation and SV detectionML / AI methods

17 Recovering cell-type expression from sparse, mixed, and noisy transcriptomic measurementsML / AI methods

18 Brain-model alignment is probed via gradients, training dynamics, and EEG decodingML / AI methods

19 Multi-agent LLM systems grounding biological queries in knowledge graphs and retrievalTools & infrastructure

20 Conformational Ensemble Modeling (auto label)Structural bio & protein design

Show 20 moreShow less

21 Inferring temporal cell-state dynamics from snapshot single-cell and spatial dataSingle-cell

22 Faster tools for protein dynamics: CEST fitting, flexibility, trajectory compressionTools & infrastructure

23 Structural variants in parasite genomes shape drug response and population structureGenomics

24 ODE and power-law models dissect glycolytic oscillations and plant circadian networksSystems biology

25 Sequence Analysis Software Pipelines (auto label)Tools & infrastructure

26 Metapopulation models link mobility and surveillance sensitivity to infection dynamicsSystems biology

27 Computational Genome Annotation Tools (auto label)Tools & infrastructure

28 First-passage timing separable from steady-state output in stochastic regulatory modelsSystems biology

29 IsomiR-resolved modeling links isomiR targeting and extracellular vesicle provenanceSystems biology

30 Genome-wide variation and coalescent theory jointly infer selection and demographyGenomics

31 Biological Dynamics Modeling Frameworks (auto label)Structural bio & protein design

32 Computational readouts of calcium transients and FLIM lifetime artifacts in microscopySingle-cell

33 Electrostatic And Energetic Model Assessment (auto label)Structural bio & protein design

34 Computational Nucleotide Sequence Design (auto label)Tools & infrastructure

35 Interfaced workflow platforms make sequencing and spatial omics analyses reproducibleTools & infrastructure

36 ML models infer tumor features from cfDNA fragmentomics and single-cell dataGenomics

37 Learned models encode fragment topology and bond-edit search for molecular structureMetabolomics

38 Joint multiomic profiling links regulatory layers to gene expression within samplesGenomics

39 Deep networks map genome-wide SNPs to quantitative phenotypes in grapevine and plantsGenomics

40 Rna Regulation Mapping Methods (auto label)Transcriptomics

Sponsors