AI tools for biology and medicine
Short answer
AI tools for life sciences, diagnostics and molecular biology at a glance – use cases, pricing, privacy.
Life sciences host some of the most established AI applications: protein structure prediction, drug discovery, image analysis in pathology and radiology, and clinical data evaluation.
Unlike everyday tools, validation and regulation are central here. Patient-facing applications fall under medical device law and approval regimes, while research tools are often freely available.
Any tool touching patients demands strict privacy: health data is a special category of personal data under Article 9 GDPR.
All tools in this category (10)
AiforiaCloud-based AI platform for digital pathology and quantitative analysis of medical images.
PaidGDPR / EU
AlphaFoldA DeepMind AI system that predicts the 3D structure of proteins from their amino acid sequence with near-experimental accuracy.
Open SourceGDPR / EU
CradleGenerative AI for protein engineering from Zurich and Delft: Cradle proposes sequence variants with better stability, activity or expression and keeps learning from your own lab measurements.
PaidGDPR / EU
ESMFoldMeta's protein oracle: a large biological language model that predicts protein structures far faster than classical methods.
Open SourceGDPR / EU
OwkinParis-based biotech AI company that uses federated learning to train models across hospital data without the data ever leaving the hospital — the basis for biomarker and oncology research.
PaidUnclear
PathAIAI-powered digital pathology for cancer diagnostics, biomarker quantification and clinical trials with reproducible image analysis.
PaidGDPR / EU
RoseTTAFoldAI developed at the University of Washington for protein structure prediction and protein-protein complexes.
Open SourceUS Cloud
Schrödinger MaestroProfessional platform for computer-aided drug design, molecular dynamics, and materials simulation.
PaidUnclear
TempusAI-powered precision medicine platform for oncology that links multimodal patient data with molecular pathology.
PaidUnclear
Viz.aiAI-powered care coordination platform for rapid detection of strokes and heart conditions.
PaidUnclear
Frequently asked questions
Does AI replace medical diagnosis?
No. AI systems assist with analysis and prioritisation; diagnosis and responsibility stay with clinicians. Approved systems are explicitly defined as assistive.
Are these tools free to use?
Many research tools are open source or free for academic use. Clinical platforms are sold as enterprise solutions with individual pricing.
What applies to patient data?
Health data falls under Article 9 GDPR and may only be processed on a clear legal basis – in practice with processing agreements, pseudonymisation and documented purpose limitation.