Industries
Bio-AI & Computational Bio-Infrastructure
What changes this industry: bio-solutions with evidence, technologies, suppliers and open money.
Overview of the industry
Artificial intelligence applied to biology: protein and antibody design, AI drug design, strain design, bioprocess optimisation, biomarker discovery, computational pathology, digital twins and in-silico trials, and quantum modelling of molecules. Suppliers range from AI drug-discovery companies to bioinformatics services.
What it replaces 0
No graded substitution linked yet.
Technologies 18
| Agri-bioinformatics cloud platforms Cloud platforms and bioinformatics service providers that turn plant and crop genomic, phenomic and environmental data into breeding-ready analysis — genomic … | Digital & IT |
| AI bioprocess optimization as SaaS Cloud/SaaS platforms applying machine learning to bioprocess development and manufacturing data to predict outcomes and optimize process parameters — a software … | Digital & IT |
| AI clinical-trial patient recruitment Machine-learning software that scans structured and unstructured electronic health records to identify patients meeting a clinical trial's eligibility criteria … | Digital & IT |
| AI drug design & AlphaFold applications AI-driven drug discovery — AlphaFold structure prediction, generative chemistry and physics-based virtual screening — compressing the target-to-candidate … | Therapeutics & platforms |
| AI pathology interpretation (computational pathology) AI interpretation of digitized whole-slide histology images using self-supervised vision transformers and attention multiple-instance learning to detect tumour … | Diagnostics & medtech |
| AI strain-design & engineering platforms AI-native software platforms that design microbial strains, proteins and antibodies computationally — generative models, protein language models and closed-loop … | Digital & IT |
| AI-assisted breeding & phenotyping Big data, machine learning and high-throughput phenotyping (drones, imaging) to speed crop breeding — replacing manual, random-selection practice; platforms … | Agri-tech & precision |
| AI-assisted medical-imaging diagnosis AI that reads medical images, produces reports and routes them through remote platforms, replacing slow, fatigue-prone manual reading — deployed to 108 public … | Diagnostics & medtech |
| AI-driven antibody & protein design Deriving antibody structures from sequence, optimising developability in silico and converting back to sequence — replacing empirical screening of large … | Bioinformatics & omics |
| AI-driven biomarker discovery Machine learning over population-scale molecular data that turns weak signals — methylation patterns, mutation signatures, multimodal profiles — into clinical … | Diagnostics & medtech |
| Bioinformatics & multi-omics Sequencing, single-cell and spatial omics, and biological AI that turn raw reads into decisions — a stack from sample to interpreted multi-omics. | Bioinformatics & omics |
| Biological AI & bioinformation services The AI, machine-learning and bioinformatics software-as-a-service layer — cloud platforms, generative biological foundation models and managed analysis … | Bioinformatics & omics |
| De novo protein design Proteins specified on a computer and realized in a lab — backbone geometry, binding interfaces and self-assembly designed from physical principles rather than … | Foundries & design |
| Generative protein design Creating completely novel, non-natural protein structures and sequences from scratch using diffusion networks and large language models for therapeutics and … | Foundries & design |
| Intelligent fermentation platforms (AI-driven control) AI, IoT and advanced sensing that replace expert-driven, trial-and-error fermentation control — at commercial-pilot and early industrial stage, with validations … | Analytics & PAT |
| Multimodal clinical decision-support systems AI systems that combine several data types — records, imaging, knowledge graphs built with large language models — instead of single-source decision support; a … | Digital & IT |
| Patient digital twins & in-silico trials Computational patient models and virtual trial simulations used to reduce, accelerate or de-risk clinical development — AI-generated synthetic control arms, … | Regenerative & personalized medicine |
| Quantum computing for molecular modeling Quantum hardware and quantum-paired generative AI that simulate a molecule's electronic structure or propose novel drug-like molecules and protein sequences … | Digital & IT |