TrendBio

BACKFILLED Code and industry signals are partial for backfilled days.

Rank 1

Systems biology

Network-based machine learning links cancer omics to drug response and prognosis

Transfer from bulk to single-cell data and hybrid mechanistic-ML designs now target drug response and cancer phenotypes in the same modeling frameworks.

6 preprints · 6 published · ↑ 2.6× vs 4-wk avg
Rank 2

Structural bio & protein design

Simulations link nucleic acid binding to charge, plasticity, and sequence features

Residue-level simulations now separate binding determinants from conformational plasticity across RNA, DNA, and nucleosome systems.

3 preprints · 2 published · ↑ 2.1× vs 4-wk avg
Rank 3

Single-cell

Imaging readouts resolve per-cell gene function, organelle state and clone identity

Pooled optical CRISPR screening with Cell Painting and self-supervised learning now infers gene function de novo from per-cell morphology.

4 preprints · 5 published · ↑ 1.9× vs 4-wk avg
Rank 4

Systems biology

Models link microbial competition, collective alignment, and antibiotic eradication

Recent preprints and a 2025 publication apply continuum, agent-based, and optimal-control models to microbial aggregates, biofilms, and phage therapy.

3 preprints · 1 published · ↑ 1.9× vs 4-wk avg
Rank 5

Structural bio & protein design

Learned representations predict drug-target and protein binding affinity

Multiple December 2025 papers and preprints report new architectures for affinity prediction, including physics-informed, uncertainty-aware, and multimodal…

2 preprints · 5 published · ↑ 1.8× vs 4-wk avg
Rank 6 Modeling disordered, multistate and membrane-embedded protein states beyond single folds↑ 1.7×Structural bio & protein designRank 7 Benchmark construction and ensemble integration for ML prediction in biology↑ 1.8×ML / AI methodsRank 8 Genomic AMR prediction limited by threshold calibration and confounded training data↑ 1.7×ML / AI methodsRank 9 Spatial indexing and GPU kernels speed up biomolecular structure and sequence comparison↑ 1.8×Tools & infrastructureRank 10 Histology anchors pathology models that integrate spatial and single-cell omics data↑ 1.5×Single-cellRank 11 Learned representations guide molecule generation and affinity prediction for targets↑ 1.5×ML / AI methodsRank 12 Standardized benchmarks expose generalization limits in biomedical image deep learning↑ 1.6×ML / AI methodsRank 13 Geometric models link cell shape and mechanics to multicellular development↑ 1.5×ML / AI methodsRank 14 Single-cell gene selection and transfer methods evaluated against reference standardsSingle-cellRank 15 Foundation models for biological sequences refined via pruning and motif-aware tokensML / AI methodsRank 16 Packaged software makes harmonized omics and imaging data reusable for analysis and…Tools & infrastructureRank 17 Assembly quality, completeness and haplotype resolution across reference genome resourcesGenomicsRank 18 Modeling and testing criticality in excitatory-inhibitory neural networksSystems biologyRank 19 Graph neural networks encode structural priors across spatial, glycan, and molecular dataML / AI methodsRank 20 Quantitative benchmarks of variant callers against curated truth sets across settingsGenomics
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Rank 21 Computational corrections sharpen inference in metastasis, mutation, and chromatin dataEpigenomicsRank 22 Correcting array platform heterogeneity before pooled methylation and genomic inferenceEpigenomicsRank 23 T2T assemblies and Hi-C models resolve genome structure and ecDNA architectureEpigenomicsRank 24 Chromosome-level genomes link genome architecture to biosynthetic trait evolutionGenomicsRank 25 Machine learning guides design of protein binders, biosensors, and assay dataML / AI methodsRank 26 Genome sampling resolves marine microbial lineages and environmental algal plastidsGenomicsRank 27 Modeling arbovirus and epidemic transmission from sparse and experimental dataSystems biologyRank 28 Spatial single-cell readouts resolve epigenomic, isoform and perturbation heterogeneitySingle-cellRank 29 ML models move from sequence features to direct nanopore RNA modification readoutsTranscriptomicsRank 30 Learned models steer virtual screening toward micromolar SARS-CoV-2 and PLK2 inhibitorsStructural bio & protein designRank 31 Parameter-traceable simulations link axonal anatomy to stimulation and brain dynamicsSystems biologyRank 32 Energetic and spectral criteria are used to evaluate protein structural modelsStructural bio & protein designRank 33 Long-read profiling exposes retrotransposon and isoform variation in neural diseaseGenomicsRank 34 Markov chain formulations recast promoter switching and Boolean network dynamics…Systems biologyRank 35 Literature-grounded AI tools seek traceable biomedical hypotheses and omics resultsTools & infrastructureRank 36 Chromatin contacts, RNA association and factor binding order in gene regulationEpigenomicsRank 37 Inference and acquisition methods expand what mass spectrometry resolves in proteomicsProteomicsRank 38 Causal and non-additive models resolve plasma protein genetic effectsGenomics

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