Papers Explorer

The matrix below maps AI methods against the 7 research areas. Cell shade = paper count; click a cell to read its references.

All areasMedia OptimizationCellular EngineeringBioprocess controlScaffoldingSensory PredictionAI Tooling / MethodologyAI Evaluation & Benchmarking

Media OptimizationCellular EngineeringBioprocess controlScaffoldingSensory PredictionAI Tooling / MethodologyAI Evaluation & Benchmarking

method ↓ / area →

Media Optimization

Cellular Engineering

Bioprocess control

Scaffolding

Sensory Prediction

AI Tooling / Methodology

AI Evaluation & Benchmarking

Bayesian Optimization

611

Deep Learning

47121

GNN

421

CNN

213

GAN / VAE

21

Genetic Algorithms

22

SVM

1121

Ensemble Learning

18

K-Nearest Neighbors

1

Active Learning

51

Reinforcement Learning

1

Foundation Models: Next-Token Prediction

3

Foundation Models: Masked Language Modeling

5

Foundation Models: LM + Biological Priors

3

Foundation Models: Cell-State & Perturbation Prediction

4

Foundation Models (other modalities)

3

Scientific Literature & Discovery Agents

8

General-Purpose Biomedical Agents

6

Chemistry / Synthesis Agents

3

Domain-Specific Biomedical Agents

511

Robot Scientists & Lab Automation

23

Benchmarks & Evaluation Frameworks

20

Agent Infrastructure (Frameworks, KGs, Protocols)

7

Select a cell to read its references.